|
DEPARTMENT
OF TRANSPORTATION
National
Highway Traffic Safety Administration
49
CFR Part 575
[Docket
No. NHTSA-2001- 9663; Notice 3]
RIN
2127-AI81
Consumer
Information;
New
Car Assessment Program;
Rollover
Resistance
AGENCY:
National Highway Traffic Safety Administration (NHTSA), DOT.
ACTION:
Final Policy Statement
SUMMARY:
The Transportation Recall Enhancement, Accountability, and Documentation
Act of 2000 requires NHTSA to develop a dynamic test on rollovers
by motor vehicles for the purposes of a consumer information program,
to carry out a program of conducting such tests, and, as these
tests are being developed, to conduct a rulemaking to determine
how best to disseminate test results to the public. This document
modifies NHTSA's rollover resistance ratings in its New Car Assessment
Program (NCAP) to include dynamic rollover tests after considering
comments to our previous document. The changes described in this
document will improve consumer information provided by NHTSA,
but will not place regulatory requirements on vehicle manufacturers.
DATES: NCAP
rollover resistance ratings in the 2004 model year will be determined
using the system established by this document.
Petitions:
Petitions for reconsideration must be received by [insert date
that is 45 days after date of publication in the Federal Register].
FOR FURTHER
INFORMATION CONTACT: For technical questions you may contact
Patrick Boyd, NVS-123, Office of Rulemaking, National Highway
Traffic Safety Administration, 400 Seventh Street, SW, Washington,
DC 20590 and Dr. Riley Garrott, NVS-312, NHTSA Vehicle Research
and Test Center, P.O. Box 37, East Liberty, OH 43319. Mr. Boyd
can be reached by phone at (202) 366-6346 or by facsimile at (202)
493-2739. Dr. Garrott can be reached by phone at (937) 666-4511
or by facsimile at (937) 666-3590.
SUPPLEMENTARY
INFORMATION:
-
Executive Summary
-
Safety Problem
-
Background
-
Existing NCAP Program and the TREAD Act
-
National Academy of Sciences Study
-
Notice of Proposed Rulemaking
-
Results of Dynamic Maneuver Tests of 25 Vehicles
-
J-Turn Maneuver
-
Fishhook Maneuver
-
Loading Conditions
-
Test Results
-
Rollover Risk Model
-
Comments to the Previous Notice
-
Combined or Separate Rollover Resistance Ratings
-
Crash Avoidance Technologies
-
The J-Turn and Fishhook Maneuvers
-
Tire Wear
-
Pavement Temperature
-
Surface Friction
-
Steering Reversal
-
Fifteen-Passenger Vans
-
Tip-up Criterion
-
Testing of Passenger Cars vs. Light Trucks
-
Testing with Electronic Stability Control Systems
-
Final Form for Rollover Resistance Ratings - Alternative I
-
Combined Ratings
-
Dynamic Testing
-
Demonstration Program
-
Cost Benefit Statement
-
Rulemaking Analyses and Notices
-
Executive Order 12866
-
Regulatory Flexibility Act
-
National Environmental Policy Act
-
Executive Order 13132 (Federalism)
-
Unfunded Mandates Act
-
Civil Justice Reform
-
Paperwork Reduction Act
-
Plain Language
Appendix
I. Fishhook Test Protocol
Appendix II. Development of Logistic
Regression Risk Model
<
I. Executive Summary
While the total number of highway fatalities has
remained relatively stable over the past decade, the number of
rollover deaths has risen substantially. According to NHTSA's
National Center for Statistics and Analysis, from 1991 to 2001
the number of passenger vehicle occupants killed in all motor
vehicle crashes increased 4 percent, while fatalities in rollover
crashes increased 10 percent. In the same decade, passenger car
occupant fatalities in rollovers declined 15 percent while rollover
fatalities in light trucks increased 43 percent. In 2001, 10,138
people died in rollover crashes, a figure that represents 32 percent
of occupant fatalities for the year.
In response to that trend, NHTSA has been evaluating
rollover testing since 1993. In 2001, NHTSA began publishing rollover
rating information for consumers, supplementing New Car Assessment
Program (NCAP) frontal crashworthiness ratings that began in 1979
and side impact ratings that began in 1997.
When Congress approved the "Transportation Recall,
Enhancement, Accountability and Documentation (TREAD) Act of November
2000", Section 12 directed the Secretary of Transportation to
"develop a dynamic test on rollovers by motor vehicles for a consumer
information program; and carry out a program conducting such tests.
As the Secretary develops a [rollover] test, the Secretary shall
conduct a rulemaking to determine how best to disseminate test
results to the public."
On July 3, 2001, NHTSA published a Request for
Comments notice (66 FR 35179) discussing a variety of dynamic
rollover tests that we had chosen to evaluate in our research
program and what we believed were their potential advantages and
disadvantages.
We published a Notice of Proposed Rulemaking on
October 7, 2002 (67 FR 62528) that proposed alternative ways of
using the dynamic maneuver test results in consumer information
on the rollover resistance of new vehicles.
Beginning with rollover ratings for the 2004 model
year, NHTSA will combine a vehicle's Static Stability Factor (SSF)
measurement with its performance in the so-called "Fishhook" maneuver.
The so-called "J-Turn" dynamic test maneuver discussed in previous
notices will be not be used by NHTSA for rating rollover resistance.
Our analysis has found that the J-Turn maneuver test does not
add any meaningful information to what is obtained from the fishhook
maneuver test alone (see Appendix II.B). The predicted rollover
rate will be translated into a five-star rating system that is
the same as the one now in use: One star is for a rollover rate
greater than 40 percent; two stars, between 30 and 39 percent;
three stars, between 20 and 29 percent; four stars, between 10
and 19 percent; and five stars for 10 percent or less.
This decision maximizes the vehicle information
used to make the rollover rate prediction and will allow us to
ensure that rollover NCAP information corresponds even more closely
to real-world rollovers. We have also decided to present our
rollover information as a single combined rollover rating that
most commenters agreed would be more understandable to consumers.
This document also includes a test procedure (Appendix
I) for conducting vehicle maneuver tests, and discusses testing
regimes that have been incorporated to minimize variability in
test data.
<
II. Safety Problem
Rollover crashes are complex events that reflect the interaction
of driver, road, vehicle, and environmental factors. We can describe
the relationship between these factors and the risk of rollover
using information from the agency's crash data programs. We limit
our discussion here to light vehicles, which consist of (1) passenger
cars and (2) multipurpose passenger vehicles and trucks under
4,536 kilograms (10,000 pounds) gross vehicle weight rating.[1]
According to the 2001 Fatality Analysis Reporting System (FARS),
10,138 people were killed as occupants in light vehicle rollover
crashes, which represent 32 percent of the occupants killed that
year in crashes. Of those, 8,407 were killed in single-vehicle
rollover crashes. Seventy-eight percent of the people who died
in single-vehicle rollover crashes were not using a seat belt,
and 64 percent were partially or completely ejected from the vehicle
(including 53 percent who were completely ejected). FARS shows
that 54 percent of light vehicle occupant fatalities in single-vehicle
crashes involved a rollover event.
Using data from the 1997-2001 National Automotive Sampling System
(NASS) Crashworthiness Data System (CDS), we estimate that 281,000
light vehicles were towed from a police-reported rollover crash
each year (on average), and that 30,000 occupants of these vehicles
were seriously injured or killed (defined as any fatality or an
injury with an Abbreviated Injury Scale (AIS) rating of at least
AIS 3).[2]
Of these 281,000 light vehicle rollover crashes, 225,000 were
single-vehicle crashes. (The NCAP rollover resistance ratings
estimate the risk of rollover if a vehicle is involved in a single-vehicle
crash.) Sixty-one percent of those people who suffered a serious
injury in single-vehicle towaway rollover crashes were not using
a seat belt, and 49 percent were partially or completely ejected
(including 40 percent who were completely ejected). Estimates
from NASS CDS indicate that 80 percent of towaway rollovers were
single-vehicle crashes, and that 83 percent (168,000) of the single-vehicle
rollover crashes occurred after the vehicle left the roadway.
An audit of 1992-96 NASS CDS data showed that about 95 percent
of rollovers in single-vehicle crashes were tripped by mechanisms
such as curbs, soft soil, pot holes, guard rails, and wheel rims
digging into the pavement, rather than by tire/road interface
friction as in the case of untripped rollover events.
According to the 1997-2001 NASS General Estimates System (GES)
data, 62,000 occupants annually received injuries rated as K
or A on the police KABCO injury scale in rollover crashes.
(The police KABCO scale calls A injuries "incapacitating,"
but their actual severity depends on local reporting practice.
An "incapacitating" injury may mean that the injury was visible
to the reporting officer or that the officer called for medical
assistance. A K injury is fatal.) The data indicate that
215,000 single-vehicle rollover crashes resulted in 49,000 K
or A injuries. Fifty percent of those with K or
A injury in single-vehicle rollover crashes were not using
a seat belt, and 24 percent were partially or completely ejected
from the vehicle (including 21 percent who were completely ejected).
Estimates from NASS GES indicate that 13 percent of light vehicles
in police-reported single-vehicle crashes rolled over. The estimated
risk of rollover differs by light vehicle type: 10 percent of
cars and 10 percent of vans in police-reported single-vehicle
crashes rolled over, compared to 18 percent of pickup trucks and
27 percent of SUVs. The percentages of all police-reported crashes
for each vehicle type that resulted in rollover were 1.7 percent
for cars, 2.0 percent for vans, 3.8 percent for pickup trucks
and 5.5 percent for SUVs as estimated by NASS GES.
<
III. Background
<
A. Existing NCAP Program and the TREAD Act
NHTSA's NCAP program has been publishing comparative consumer
information on frontal crashworthiness of new vehicles since 1979,
on side crashworthiness since 1997, and on rollover resistance
since January 2001 (66 FR 3388). This notice does not establish
a new consumer information program on rollover resistance ratings.
Rather, it refines our existing rollover resistance rating program
in accordance with the requirements of the TREAD Act and the recommendations
of the National Academy of Sciences.
The present NCAP rollover resistance ratings are based on the
Static Stability Factor (SSF) of a vehicle, which is the ratio
of one half its track width to its center of gravity (c.g.) height
(see www.nhtsa.dot.gov/hot/rollover/ for ratings and explanatory
information). After an evaluation of some driving maneuver tests
in 1997 and 1998, we chose to use SSF instead of any driving maneuvers
to characterize rollover resistance. As we explained in our notices
establishing rollover NCAP, we chose SSF as the basis of our ratings
because it represents the first order factors that determine vehicle
rollover resistance in the vast majority of rollovers which are
tripped by impacts with curbs, soft soil, pot holes, guard rails,
etc. or by wheel rims digging into the pavement. In contrast,
untripped rollovers are those in which tire/road interface friction
is the only external force acting on a vehicle that rolls over.
Driving maneuver tests directly represent on-road untripped rollover
crashes, but such crashes represent less than five percent of
rollover crashes[3].
At the time, we believed it was necessary to choose between SSF
and driving maneuver tests as the basis for rollover resistance
ratings. SSF was chosen because it had a number of advantages:
it is highly correlated with actual crash statistics; it can be
measured accurately and inexpensively and explained to consumers;
and changes in vehicle design to improve SSF are unlikely to degrade
other safety attributes. We also considered the fact that an
improvement in SSF represents an increase in rollover resistance
in both tripped and untripped circumstances while maneuver test
performance can be improved by reduced tire traction and certain
implementations of electronic stability control that we believe
are unlikely to improve resistance to tripped rollovers.
Congress funded NHTSA's rollover NCAP program, but directed the
agency to enhance the program. Section 12 of the "Transportation
Recall, Enhancement, Accountability and Documentation (TREAD)
Act of November 2000" directs the Secretary to "develop a dynamic
test on rollovers by motor vehicles for a consumer information
program; and carry out a program conducting such tests. As the
Secretary develops a [rollover] test, the Secretary shall conduct
a rulemaking to determine how best to disseminate test results
to the public." The rulemaking was to be carried out by November
1, 2002.
On July 3, 2001, NHTSA published a Request for Comments notice
(66 FR 35179) regarding our research plans to assess a number
of possible dynamic rollover tests. The notice discussed the
possible advantages and disadvantages of various approaches that
had been suggested by manufacturers, consumer groups, and NHTSA's
prior research. The driving maneuver tests to be evaluated fit
into two broad categories: closed-loop maneuvers in which all
test vehicles attempt to follow the same path; and open-loop maneuvers
in which all test vehicles are given equivalent steering inputs.
The principal theme of the comments was a sharp division of opinion
about whether the dynamic rollover test should be a closed loop
maneuver test like the ISO 3388 double lane change that emphasizes
the handling properties of vehicles or whether it should be an
open loop maneuver like a J-Turn or Fishhook that are limit maneuvers
in which vulnerable vehicles would actually tip up. Ford recommended
a different type of closed loop lane change maneuver in which
a path-following robot or a mathematical correction method would
be used to evaluate all vehicles on the same set of paths at the
same lateral acceleration. It used a measurement of partial wheel
unloading without tip-up at 0.7g lateral acceleration as a performance
criterion in contrast to the other closed loop maneuver tests
that used maximum speed through the maneuver as the performance
criterion. Another unique comment was a recommendation from Suzuki
to use a sled test developed by Exponent Inc. to simulate tripped
rollovers.
The subsequent test program (using four SUVs in various load
conditions and with and without electronic stability control enabled
on two of the SUVs) showed that open-loop maneuver tests using
an automated steering controller could be performed with better
repeatability of results than the other maneuver tests. The J-Turn
maneuver and the Fishhook maneuver (with steering reversal at
maximum vehicle roll angle) were found to be the most objective
tests of the susceptibility of vehicles to maneuver-induced on-road
rollover. Except for the Ford test, the closed loop tests were
found not to measure rollover resistance. Instead, the tests
of maximum speed through a double lane change responded to vehicle
agility. None of the test vehicles tipped up during runs in which
they maintained the prescribed path even when loaded with roof
ballast to experimentally reduce their rollover resistance. The
speed scores of the test vehicles in the closed loop maneuvers
were found to be unrelated to their resistance to tip-up in the
open-loop maneuvers that actually caused tip-up. The test vehicle
that was clearly the poorest performer in the maneuvers that caused
tip-ups achieved the best score (highest speed) in the ISO 3388
and CU short course double lane change, and one vehicle improved
its score in the ISO 3388 test when roof ballast was added to
reduce its rollover resistance.
Due to the non-limit test conditions and the averaging necessary
for stable wheel force measurements, the wheel unloading measured
in the Ford test appeared to be more quasi-static (as in driving
in a circle at a steady speed or placing the vehicle on a centrifuge)
than dynamic. Sled tests were not evaluated because we believed
that SSF already provided a good indicator of resistance to tripped
rollover.
<
B. National Academy of Sciences Study
During the time NHTSA was evaluating dynamic maneuver tests in
response the TREAD Act, the National Academy of Sciences (NAS)
was conducting a study of the our SSF-based rollover resistance
ratings and was directed to make recommendations regarding driving
maneuver tests. We expected the NAS recommendations to have a
strong influence on TREAD-mandated changes to NCAP rollover resistance
ratings.
When NHTSA proposed the present SSF rollover resistance ratings
in June 2000 (65 FR 34998), vehicle manufacturers generally opposed
it because they believed that SSF as a measure of rollover resistance
is too simple since it does not include the effects of suspension
deflections, tire traction and electronic stability control (ESC).
In addition, the vehicle manufacturers argued that the influence
of vehicle factors on rollover risk is too slight to warrant consumer
information ratings for rollover resistance. In the conference
report of the FY2001 DOT Appropriations Act, Congress permitted
NHTSA to move forward with its rollover rating program, but directed
the agency to fund a National Academy of Sciences (NAS) study
on vehicle rollover ratings. The study topics were "whether the
static stability factor is a scientifically valid measurement
that presents practical, useful information to the public including
a comparison of the static stability factor test versus a test
with rollover metrics based on dynamic driving conditions that
may induce rollover events." The National Academy's report was
completed and made available at the end of February 2002.
The NAS study found that SSF is a scientifically valid measure
of rollover resistance for which the underlying physics and real-world
crash data are consistent with the conclusion that an increase
in SSF reduces the likelihood of rollover. It also found that
dynamic tests should complement static measures, such as SSF,
rather than replace them in consumer information on rollover resistance.
The dynamic tests the NAS recommended would be driving maneuvers
used to assess "transient vehicle behavior leading to rollover."
The NAS study also made recommendations concerning the statistical
analysis of rollover risk and the representation of ratings.
It recommended that we use logistic regression rather than linear
regression for analysis of the relationship between rollover risk
and SSF, and it recommended that we consider a higher-resolution
representation of the relationship between rollover risk and SSF
than is provided by the current five-star rating system.
We published a Notice of Proposed Rulemaking on October 7, 2002
(67 FR 62528) that proposed alternative ways of using the dynamic
maneuver test results in consumer information on the rollover
resistance of new vehicles. We chose the J-Turn and Fishhook
maneuver (with roll rate feedback) as the dynamic maneuver tests
because they were the type of limit maneuver tests that could
directly lead to rollover as recommended by the NAS. We also
proposed to use a logistic regression analysis to determine the
relationship between vehicle properties and rollover risk, as
recommended by the NAS. The resulting rollover resistance ratings
were proposed to be part of NHTSA's New Car Assessment Program
(NCAP). Also, we proposed two methods for presenting rollover
resistance ratings for consumer information.
<
IV. Notice of Proposed Rulemaking
The TREAD Act calls for a rulemaking to determine how best to
disseminate rollover test results to the public, and our Notice
of Proposed Rulemaking (NPRM) of October 7, 2002 (67 FR 62528)
proposed two alternatives for using the dynamic test results in
consumer information on the rollover resistance of new vehicles.
In this case the term "rulemaking" refers more to the process
than to the product. This document does not amend the code
of Federal Register, but establishes NHTSA's policy on consumer
information regarding the rollover resistance program. As
mentioned above, this program places no requirements on vehicle
manufacturers, only some on NHTSA.
While the TREAD Act calls for a rulemaking to determine how best
to disseminate the rollover test results, the development of the
dynamic rollover test is simply the responsibility of the Secretary.
Based on NHTSA's recent research to evaluate rollover test maneuvers,
the National Academy of Sciences' study of rollover ratings, comments
to the July 3, 2000 notice, extensive consultations with experts
from the vehicle industry, consumer groups and academia, and NHTSA's
previous research in 1997-8, the agency chose the J-Turn and the
Fishhook maneuvers as dynamic rollover tests. They are the limit
maneuver tests that NHTSA found to have the highest levels of
objectivity, repeatability and discriminatory capability. The
notice announced that vehicles would be tested in two load conditions
using the J-Turn at up to 60 mph and the Fishhook maneuver at
up to 50 mph. Both maneuvers would be conducted with an automated
steering controller, and the reverse steer of the Fishhook maneuver
would be timed to coincide with the maximum roll angle to create
an objective "worst case" for all vehicles regardless of differences
in resonant roll frequency. Figures 1 and 2 illustrate the open-loop
steering wheel motions characterizing these maneuvers. The light
load condition would be the weight of the test driver and instruments,
approximating a vehicle with a driver and one front seat passenger.
The notice announced that the heavy load condition would add additional
175 lb manikins in all rear seat positions.
The National Academy of Sciences recommended that dynamic maneuver
tests be used to supplement rather than replace Static Stability
Factor in consumer information on rollover resistance. NHTSA
proposed two alternatives for consumer information ratings on
vehicle rollover resistance that included both dynamic maneuver
test results and Static Stability Factor. The first alternative
was to include the dynamic test results as vehicle variables along
with SSF in a statistical model of rollover risk that would combine
their predictive power. This is conceptually similar to the present
ratings in which a statistical model is used to distinguish between
the effects of vehicle variables and demographic and road use
variables recorded for state crash data on a large number of single-vehicle
crashes. The National Academy of Sciences recommended using a
logistic regression model for this purpose. Such a model would
be used to predict the rollover rate in single-vehicle crashes
for a vehicle considering both its dynamic maneuver test performance
and its Static Stability Factor for an average driver population
(as a common basis of comparison).
Under the first alternative, the "star rating" of a vehicle would
be based on its rollover rate in single-vehicle crashes predicted
by a statistical model. The format would be the same as for the
present rollover ratings (for example, one star for a predicted
rollover rate in single-vehicle crashes greater than 40 percent
and five stars for a predicted rollover rate less than 10 percent).
The present rollover ratings are based on a linear regression
model using state crash reports of 241,000 single-vehicle crashes
of 100 make/model vehicles. We proposed to replace the current
rollover risk model with one that uses the performance of the
vehicle in dynamic maneuver tests as well as its SSF to predict
rollover risk. The performance of a vehicle in dynamic maneuver
tests would be simply whether it tipped up or not in each of the
four maneuver/load combinations.
In order to compute this logistic model for rollover risk, it
is necessary to have the dynamic maneuver test results as well
as SSF for a number of vehicles with rollover rates established
by state crash reports of single-vehicle crashes. We had the
SSF measurements and established rollover rates for the 100 make/model
vehicles upon which we based the static rating system but not
their dynamic maneuver test results. Thus, we asked for comment
on the suitability of a rating method that combines static and
dynamic vehicle properties in a single rating and on the validity
of logistic regression analysis for the risk model that combines
the properties in a way that is predictive of real-world crash
experience.
The NPRM notice announced that we were going to perform the dynamic
maneuver tests on about 25 of the 100 make/model vehicles for
which we had SSF measurements and substantial state crash data.
Time and budget constraints would not permit testing all 100 vehicles.
With these dynamic maneuver test results and our existing crash
and SSF information we would be able to compute the new risk model
using a standard statistical package of computer programs (SAS)
for logistic regression analysis. This document notice presents
the dynamic maneuver test results for 24 of the 100 vehicles,
chosen to span the SSF range and to represent high production
vehicles of each type (passenger car, van, pickup truck and sport
utility vehicle (SUV)). An additional SUV with a lower SSF than
found among the 100 vehicles was also included. The resulting
risk model is presented in this document notice.
The second alternative we proposed was to have separate ratings
for Static Stability Factor and for dynamic maneuver test performance.
Dynamic maneuver tests directly represent on-road untripped rollovers.
Under this alternative, the dynamic maneuver test performance
would be used to rate resistance to untripped rollovers in a qualitative
scale. Barring unforeseen results of the dynamic maneuver tests
of the 25 vehicle group, the obvious qualitative scale would be:
A for no tip-ups, B for tip-up in one maneuver, C for tip-ups
in two maneuvers, D for tip-ups in three maneuvers and E for tip-ups
in all four maneuvers/load combinations.
A statistical risk model is not possible for untripped rollover
crashes, because they appear to be relatively rare events and
they cannot be reliably identified in state crash reports. For
this alternative, the current Static Stability Factor based system
would be used to rate resistance to tripped rollovers (since we
believe most of the rollovers reported in the state crash reports
are tripped). Again we asked for comments on the usefulness and
validity of the concept in the NPRM notice, but we could not offer
examples of actual vehicle ratings because the tests had not yet
been conducted.
<
V. Results of Dynamic Maneuver Tests of 25 Vehicles
This section presents an overview of the test maneuvers and the
results for 25 vehicles that were used to develop the logistic
regression risk model. A more extensive account of the test program
is contained in the Phase VI and VII Report that has been placed
in Docket NHTSA-2001-9663. A detailed description of how we will
perform the maneuver tests for NCAP ratings is contained in Appendix
I.
The NHTSA J-Turn and Fishhook (with roll rate
feedback) maneuver tests were performed for 25 vehicles representing
four vehicle types including passenger cars, vans, pickup trucks
and SUVs. We chose mainly high production vehicles that spanned
a wide range of SSF values, using vehicles NHTSA already owned
where possible. Except for four 2001 model year vehicles NHTSA
purchased new, the vehicle suspensions were rebuilt with new springs
and shock absorbers, and other parts as required for all the other
vehicles included in the test program.
<
A. J-Turn Maneuver
The NHTSA J-Turn maneuver represents an avoidance maneuver in
which a vehicle is steered away from an obstacle using a single
input. The maneuver is similar to the J-Turn used during NHTSA's
1997-98 rollover research program and is a common maneuver in
test programs conducted by vehicle manufacturers and others.
Often the J-Turn is conducted with a fixed steering input (handwheel
angle) for all test vehicles. In its 1997-98 testing, NHTSA used
a fixed handwheel angle of 330 degrees. In the testing that preceded
the NPRM notice, we developed an objective method of specifying
equivalent handwheel angles for J-Turn tests of various vehicles,
taking into account their differences in steering ratio, wheelbase
and linear range understeer properties. (See NHTSA's Phase IV
report docketed with the NPRM notice as item 38 in Docket No.
NHTSA 2001-9663). Under this method, one first measures the
handwheel angle that would produce a steady-state lateral acceleration
of 0.3 g at 50 mph on a level paved surface for a particular vehicle.
In brief, the 0.3 g value was chosen because the steering angle
variability associated with this lateral acceleration is quite
low and there is no possibility that stability control intervention
could confound the test results. Since the magnitude of the handwheel
position at 0.3 g is small, it must be multiplied by a scalar
to have a high maneuver severity. In the case of the J-Turn,
the handwheel angle at 0.3 g was multiplied by eight. When this
scalar is multiplied by the average handwheel angle at 0.3 g (observed
during NHTSA's 1997-98 rollover research program), the result
is approximately 330 degrees. Figure 1 illustrates the J-Turn
maneuver in terms of the automated steering inputs commanded by
the programmable steering machine. The rate of the handwheel
turning is 1000 degrees per second.
To begin the maneuver, the vehicle was driven in a straight line
at a speed slightly greater than the desired entrance speed.
The driver released the throttle, coasted to the target speed,
and then triggered the commanded handwheel input. The nominal
maneuver entrance speeds used in the J-Turn maneuver ranged from
35 to 60 mph, increased in 5 mph increments until a termination
condition was achieved. Termination conditions were simultaneous
two inch or greater lift of a vehicle's inside tires (two-wheel
lift) or completion of a test performed at the maximum maneuver
entrance speed without two-wheel lift. If two-wheel lift was
observed, a downward iteration of vehicle speed was used in 1
mph increments until such lift was no longer detected. Once the
lowest speed for which two-wheel lift could be detected was isolated,
two additional tests were performed at that speed to monitor two-wheel
lift repeatability.
<
B. Fishhook Maneuver
The second maneuver test, the fishhook maneuver, uses steering
inputs that approximate the steering a driver acting in panic
might use in an effort to regain lane position after dropping
two wheels off the roadway onto the shoulder. In the NPRM notice,
we described it as a road edge recovery maneuver. As pointed
out by some commenters, it is performed on a smooth pavement rather
than at a road edge drop-off, but its rapid steering input followed
by an over-correction is representative of a general loss of control
situation. The original version of this test was developed by
Toyota, and variations of it were suggested by Nissan and Honda.
NHTSA has experimented with several versions since 1997, and the
present test includes roll rate feedback in order to time the
counter-steer to coincide with the maximum roll angle of each
vehicle in response to the first steer.
Figure 2 describes the Fishhook maneuver in terms of the automated
steering inputs commanded by the programmable steering machine
and illustrates the roll rate feedback. The initial steering
magnitude and countersteer magnitudes are symmetric, and are calculated
by multiplying the handwheel angle that would produce a steady
state lateral acceleration of 0.3 g at 50 mph on level pavement
by 6.5. The average steering input is equivalent to the 270 degree
handwheel angle used in earlier forms of the maneuver but, as
in the case of the J-Turn , the procedure above is an objective
way of compensating for differences in steering gear ratio, wheelbase
and understeer properties between vehicles. The fishhook maneuver
dwell times (the time between completion of the initial steering
ramp and the initiation of the countersteer) are defined by the
roll motion of the vehicle being evaluated, and can vary on a
test-to-test basis. This is made possible by having the steering
machine monitor roll rate (roll velocity). If an initial steer
is to the left, the steering reversal following completion of
the first handwheel ramp occurs when the roll rate of the vehicle
first equals or goes below 1.5 degrees per second. If an initial
steer is to the right, the steering reversal following completion
of the first handwheel ramp occurs when the roll rate of the vehicle
first equals or exceeds -1.5 degrees per second. The handwheel
rates of the initial steer and countersteer ramps are 720 degrees
per second.
To begin the maneuver, the vehicle was driven in a straight line
at a speed slightly greater than the desired entrance speed.
The driver released the throttle, coasted to the target speed,
and then triggered the commanded handwheel input described in
Figure 2. The nominal maneuver entrance speeds used in the fishhook
maneuver ranged from 35 to 50 mph, increased in 5 mph increments
until a termination condition was achieved. Termination conditions
included simultaneous two inch or greater lift of a vehicle's
inside tires (two-wheel lift) or completion of a test performed
at the maximum maneuver entrance speed without two-wheel lift.
If two-wheel lift was observed, a downward iteration of vehicle
speed was used in 1 mph increments until such lift was no longer
detected. Once the lowest speed for which two-wheel lift could
be detected was isolated, two additional tests were performed
at that speed to check two-wheel lift repeatability.
<
C. Loading Conditions
The vehicles were tested in each maneuver in two load conditions
in order to create four levels of stringency in the suite of maneuver
tests. The light load was the test driver plus instrumentation
in the front passenger seat, which represented two occupants.
A heavier load was used to create a higher level of stringency
for each test. In our NPRM, we announced that the heavy load
would include 175 lb anthropomorphic forms (water dummies) in
all rear seat positions. During the test of the 25 vehicles,
it became obvious that heavy load tests were being run at very
unequal load conditions especially between vans and other vehicles
(two water dummies in some vehicles but six water dummies in others).
While very heavy passenger loads can certainly reduce rollover
resistance and potentially cause special problems, crashes at
those loads are too few to greatly influence the overall rollover
rate of vehicles. Over 94% of van rollovers in our 293,000 crash
database occurred with five or fewer occupants, and over 99% of
rollovers of other vehicles occurred with five or fewer occupants.
The average passenger loads of vehicles in our crash database
was less than two: 1.81 for vans; 1.54 for SUVs; 1.48 for cars;
and 1.35 for pickup trucks. In order to use the maneuver tests
to predict real-world rollover rates, it seemed inappropriate
to test the vehicles under widely differing loads that did not
correspond to the real-world crash statistics. Therefore, the
tests used to develop a statistical model of rollover risk were
changed to a uniform heavy load condition of three water dummies
(representing a 5-occupant loading) for all vehicles capable of
carrying at least five occupants. Some vehicles were loaded
with only two water dummies because they were designed for four
occupants. For pickup trucks, water dummies were loaded in the
bed at approximately the same height as a passenger in the front
seat.
To avoid disruption, the tests were completed under the original
loading plan. Then we conducted tests at a 5-occupant heavy load
only for those vehicles in which loading differences might influence
tip-up. If the vehicle had completed the maneuver without tip-up
with more than three water dummies in the rear it was not necessary
to retest at a lighter load. Likewise, if the vehicle tipped
up in the light load (no water dummies) condition, it was not
necessary to retest with three water dummies in the rear. We
have never observed a vehicle for which a greater passenger load
improved performance in a tip-up test.
<
D. Test Results
The test results in Table 1 reflect the performance either measured
or imputed as described for a heavy load condition representing
5 occupants except for the Ford Explorer 2DR, the Chevrolet Tracker
and Metro that were designed for only four occupants, and the
Honda CRV, Honda Civic and Chevrolet Cavalier that could not be
loaded to the 5 occupant level without exceeding a gross axle
weight rating because of the additional weight of the outriggers.
Note that Table 1 includes some results collected during tests
performed with alternative steering angles. Although the steering
angles used during these tests were still based on the handwheel
angle that would produce a steady-state lateral acceleration of
0.3 g at 50 mph on a level paved surface, the scalars used to
calculate the steering angles were smaller. These tests
Table 1.
Dynamic Maneuver Test Results (the check mark indicates tip-up
observed)
Veh.
Group
Number |
Model
Range / Make / Model |
Nominal
Static
Stability Factor |
Fishhook
Light (FL)
(2 occ.) |
Fishhook
Heavy (FH)
(5 occ.) |
J-Turn
Light (JL)
(2 occ.) |
J-Turn
Heavy (JH)
(5 occ.) |
| -- |
'92 -
'00 Mitsubishi Montero 4WD |
0.95 |
 |
 |
-- |
 |
| 47 |
'95 -
'03 Chevrolet Blazer 2WD |
1.02 |
 |
 |
-- |
 |
| 43 |
'95 -
'01 Ford Explorer 2dr 2WD |
1.06 |
-- |
-- |
-- |
-- |
| 44 |
'95 -
'01 Ford Explorer 4dr 4WD |
1.06 |
-- |
 |
-- |
-- |
| 66 |
'96 -
'00 Toyota 4Runner 4WD |
1.06 |
-- |
 |
-- |
-- |
| 89 |
'93 -
'97 Ford Ranger p/u 4WD |
1.07 |
 |
 |
 |
 |
| 58 |
'88 -
'97 Jeep Cherokee 4WD |
1.08 |
-- |
-- |
-- |
-- |
| 59 |
'95 -
'02 Acura SLX / Isuzu Trooper 4WD |
1.09 |
 |
 |
 |
 |
| 70 |
'88 -
'98 Ford Aerostar 2WD |
1.10 |
 |
 |
 |
 |
| 74 |
'88 -
'02 Chevrolet Astro 2WD |
1.12 |
-- |
 |
-- |
-- |
| 53 |
'89 -
'98 Chevrolet/Geo Tracker 4WD |
1.13 |
-- |
 |
-- |
-- |
| 91 |
'88 -
'98 Chevrolet K1500 p/u 4WD |
1.14 |
-- |
-- |
-- |
-- |
| 88 |
'93 -
'97 Ford Ranger p/u 2WD |
1.17 |
-- |
 |
-- |
 |
| 85 |
'97 -
'02 Ford F-150 p/u 2WD |
1.18 |
-- |
-- |
-- |
-- |
| 54 |
'97 -
'01 Honda CR-V 4WD |
1.19 |
 |
 |
-- |
 |
| 83 |
'88 -
'96 Ford F-150 p/u 2WD |
1.19 |
-- |
-- |
-- |
-- |
| 67 |
'88 -
'95 Dodge Caravan / Plymouth Voyager 2WD |
1.21 |
-- |
-- |
-- |
-- |
| 90 |
'88 -
'98 Chevrolet C1500 p/u 2WD |
1.22 |
-- |
-- |
-- |
-- |
| 68 |
'96 -
'00 Dodge Caravan / Plymouth Voyager 2WD |
1.23 |
-- |
-- |
-- |
-- |
| 73 |
'95 -
'98 Ford Windstar 2WD |
1.24 |
-- |
-- |
-- |
-- |
| 22 |
'95 -
'01 Chevrolet / Geo Metro |
1.29 |
-- |
-- |
-- |
-- |
| 19 |
'88 -
'94 Chevrolet Cavalier |
1.32 |
-- |
-- |
-- |
-- |
| 18 |
'91 -
'96 Chevrolet Caprice |
1.40 |
-- |
-- |
-- |
-- |
| 7 |
'88 -
'95 Ford Taurus |
1.45 |
-- |
-- |
-- |
-- |
| 26 |
'92 -
'95 Honda Civic |
1.48 |
-- |
-- |
-- |
-- |
| |
|
|
|
|
|
|
Total
Tip-ups |
|
|
6 |
11 |
3 |
7 |
were performed
because, for some vehicles, the methods used to calculate the
steering inputs used in the J-Turn and/or Fishhook maneuvers can
produce "excessive" steering—steering angles so great that maneuver
severity is actually reduced (i.e., the lateral force capability
of the tires is exceeded). As an example, consider the Ford Ranger
4WD and Aerostar. These vehicles required a reduction of the J-Turn
steering scalar from 8.0 to 7.0 (Ranger 4WD) or 6.0 (Aerostar)
before J-Turn steering was able to produce two-wheel lift.
During some
Fishhook tests, excessive steering caused some vehicles to reach
their maximum roll angle response to the initial steering input
before it had been fully completed (this is essentially equivalent
to a "negative" T1 in Figure 2). Since dwell time
duration can have a significant effect on how the Fishhook maneuver's
ability to produce two-wheel lift, we believe that excessive steering
may stifle the most severe timing of the counter steer for some
vehicles. In an attempt to better insure high maneuver severity,
a number of vehicles that did not produce two-wheel lift with
steering inputs calculated with the 6.5 multiplier were also tested
with lesser steering angles by reducing the multiplier to 5.5.
This change reduced the likelihood of excessive steering, and
increased the dwell times observed during the respective maneuvers.
In the case of the Ford Ranger 4x2, Fishhook maneuvers with steering
inputs based on the reduced multiplier were able to produce two-wheel
lift. Such lift was not observed when the original steering was
used (i.e., when a multiplier of 6.5 was used). We have modified
the Fishhook test procedure to include tests at the steering angle
determined by the 5.5 multiplier for vehicles that do not tip
up using the original steering angle determination.
Each test
vehicle in Table 1 represented a generation of vehicles whose
model year range is given. Twenty-four of the vehicles were taken
from 100 vehicle groups whose 1994-98 crash statistics in six
states were the basis of the present SSF based rollover resistance
ratings. The vehicle group numbers used to identify these vehicles
in the prior notices (65 FR 34998 and 66 FR 3388) are given for
convenience. The nominal SSFs used to describe the vehicle groups
in the prior statistical studies are given. While there were
some variations between the SSFs of the individual test vehicles
and the nominal vehicle group SSF values, the nominal SSFs were
retained for the present statistical analyses because they represent
vehicles produced over a wide range of years in many cases and
provide a simple comparison between the risk model presented in
this notice and that discussed in the previous notices.
The check
marks under the various test maneuver names indicate which vehicles
tipped up during the tests. Eleven of the twenty-five vehicles
tipped up in the Fishhook maneuver conducted in the heavy condition.
The heavy condition represented a five-occupant load for all vehicles
except the six mentioned above that were limited to a four-occupant
load by the vehicle seating positions and GVWR. All eleven were
among the sixteen test vehicles with SSFs less than 1.20. None
of the vehicles with higher SSFs tipped up in any test maneuver.
The fishhook test under the heavy load clearly had the greatest
potential to cause tip-up. The groups of vehicles that tipped
up in other tests were subsets of the larger group of eleven that
tipped up in the fishhook heavy test. There were seven vehicles
in the group that tipped up in the J-Turn heavy test, six of which
also tipped up in the Fishhook light test. The J-Turn light test
had the least potential to tip up vehicles. Only three vehicles
tipped up, all of which had tipped up in every other test.
<
VI. Rollover Risk Model
In its study of our rating system for rollover
resistance (Transportation Research Board Special Report 265),
the National Academy of Sciences (NAS) recommended that we use
logistic regression rather than linear regression for analysis
of the relationship between rollover risk and SSF. Logistic regression
has the advantage that it operates on every crash data point directly
rather than requiring that the crash data be aggregated by vehicle
and state into a smaller number of data points. For example,
we now have state data reports of about 293,000 single-vehicle
crashes of the hundred vehicle make/models (together with their
corporate cousins) whose single-vehicle crashes we have been tracking
in six states. The logistic regression analysis of this data
would have a sample size of 293,000, producing a narrow confidence
interval on the repeatability of the relationship between SSF
and rollover rate. In contrast, the linear regression analysis
operates on the rollover rate of the hundred vehicle make/models
in each of the six states. It produces a maximum sample size
of only 600 (100 vehicles times six states) minus the number of
samples for which fewer than 25 crashes were available for determining
the rollover rate (a data quality control practice). Confidence
limits computed for a data sample size of 600 will be much greater
than those based on a sample size of 293,000. On average, each
sample in the linear regression analysis was computed from over
400 crash report samples. However, ordinary techniques to compute
the confidence intervals of linear regression results do not take
into account the actual sample size represented by aggregated
data. The statistical model created to combine SSF and dynamic
test information in the prediction of rollover risk was computed
by means of logistic regression as recommended by the NAS. Logistic
regression is well suited to the correlation with crash data of
vehicle properties that include both continuous variables like
SSF and binary variables like tip-up or no tip-up in maneuver
tests.
We had previously considered
logistic regression during the development of the SSF based rating
system (66 FR 3388, January 12, 2001, p.3393), but found that
it consistently under-predicted the actual rollover rate at the
low end of the SSF range where the rollover rates are high. The
NAS study acknowledged this situation and gave the example of
another analysis technique (non-parametric) that made higher rollover
rate predictions at the low end of the SSF scale. In the NPRM,
we discussed our plan to first examine ways to improve the fit
of the logistic regression model to the actual rollover rates
in the simpler model with SSF as the only vehicle attribute before
expanding the logistic regression model to predict rollover rates
using maneuver test results and SSF as vehicle attributes. In
this way, the addition of maneuver test results is more likely
to have an effect that reflects the additional information they
represent on rollover causation.
Appendix II discusses the details of seeking a
mathematical transformation of SSF to improve the accuracy of
logistic regression models. We found that logistic regression
on the transformation "Log(SSF - 0.9)" rather than on SSF directly
computed a risk model whose predictions of rollovers per single-vehicle
crash more closely matched the relationship between vehicle SSF
and actual rollover rates observed in state crash data. We sought
to optimize the accuracy of the predictions in the SSF range between
1.0 and 1.25 that includes the vehicles with the highest rollover
rates, even at the expense of accuracy in predicting the low rollover
rates at high end of the SSF scale. The risk model that resulted
from this exercise is equivalent to the SSF-based rating system
used for 2001-2003 NCAP rollover resistance ratings except that
it was computed using logistic regression rather than linear regression
as the statistical technique. Figure 3 compares the logistic
regression model and linear regression model formerly used for
NCAP ratings. The linear regression model is not in the form
of a straight line because it also operated on a transformation
of SSF (Log(SSF) in this case). The logistic regression model
is the more accurate at lower half of the SSF range, and the linear
regression model is the more accurate at the upper half of the
SSF range. The two curves are quite similar.
A good logistic regression risk model using SSF
only was the starting point for models using dynamic variables
together with SSF. The dynamic maneuver test results (tip-up
or no tip-up in each maneuver/load combination in Table 1) were
used as four binary dynamic variables in the logistic regression
analysis. The dynamic variables were entered in addition to SSF
to describe the vehicle. The same driver and road variables from
state crash reports discussed above were used. The state crash
report data for twenty four of the vehicles used in the logistic
regression analysis with dynamic maneuver test variables was a
subset of the database of 293,000 single-vehicle crashes described
above. One extra vehicle was added for the maneuver tests that
was not among the 100 vehicle groups we had studied previously,
but state crash report data from the same years and states was
obtained for it. However, the database with SSF and dynamic maneuver
test was much smaller than the 293,000 sample size available for
the logistic regression model with SSF only. Its sample size
was 96,000 single-vehicle crashes of 25 vehicles including 20,000
rollovers. Appendix II contains a more detailed discussion.
First, we tried each dynamic variable separately
in conjunction with SSF. The models using variables for performance
in the Fishhook heavy and J-Turn heavy maneuvers predicted a greater
rollover risk for those vehicles that tipped up in the maneuver
test. However, the models using variables for performance in
the Fishhook light and J-Turn light maneuvers predicted a greater
rollover risk for vehicles that did not tip up.
We do not believe vehicles that tip up in the
least severe maneuvers are actually safer than those that do not
tip up. A more rational interpretation is that the numbers of
vehicle tipping up in these maneuvers were too few to establish
a definitive correlation. Only three vehicles tipped up in the
J-Turn light maneuver, and six vehicles tipped up in the Fishhook
light maneuver. Only one more vehicle tipped up in the J-Turn
heavy maneuver than in the Fishhook light, and the prediction
of the model with J-Turn heavy was consistent with expectations
that tip-up in the test predicts greater rollover risk. However,
the extra vehicle in the J-Turn heavy tip-up group was the Ford
Ranger 2 WD with a very large sample size of over 8,000 single-vehicle
crashes (nearly 10 percent of the entire data base).
Next we computed a logistic regression model combining
SSF with the dynamic variables for both maneuvers, Fishhook heavy
and J-Turn heavy, that were observed to have a directionally correct
result when entered into the model individually. The variable
for J-Turn heavy was rejected by the logistic regression program
as not statistically significant in the presence of the Fishhook
heavy variable. In other words, the predictions based on tip-up
in the Fishhook heavy maneuver do not change whether or not the
vehicle also tips up in the J-Turn heavy maneuver.
Figure 4 shows the final model that uses Fishhook
heavy as the only necessary dynamic variable. This model has
a risk prediction for vehicles that tip up in the dynamic maneuver
tests based on the greatest number of vehicles possible in our
25 vehicle data base. All 11 vehicles that tipped up in any maneuver
are represented on the tip-up curve, and the 14 vehicles without
tip-up are represented on the other curve. The risk curve in
Figure 4 representing vehicles that tipped up in the Fishhook
heavy maneuver is very similar to the logistic regression model
based on SSF only in Figure 3 (that was based on the rollover
rates of 100 vehicles). This result is logical because the SSF
only model was optimized for best fit in the 1.00 to 1.25 SSF
range that included all vehicles tipping up in dynamic maneuver
tests. Also, the fact that the risk curve of the logistic regression
model in Figure 3 that was based on the SSF of 100 vehicles closely
matches the risk curve in Figure 4 that was based on 11 vehicles
that tipped up in the dynamic tests suggests that the curve in
Figure 4 is robust. However, the small difference in Figure
4 between the risk curve for vehicles that tip up in the dynamic
test and the risk curve for those that do not tip up suggests
that the predictive power of tip-up in the dynamic test may not
be great.
Our testing and logistic regression analysis was
sufficient to assign a greater rollover risk to vehicles that
tipped up in the most severe maneuver than to those that did not
tip up at all. However, the extra risk was small, and we were
not able to distinguish a rollover risk difference between vehicles
that tipped up in the less severe Fishhook maneuver with a two
occupant load from those that tipped up only with a five occupant
load. In general, vehicles that tip up in the Fishhook maneuver
with a two occupant load also tip up at a slower entry speed in
the Fishhook maneuver with a five occupant load than those that
do not. Therefore, our data does not allow us to distinguish
rollover risk differences between vehicles on the basis of maneuver
entry speed for tip-up. The objective of using different load
conditions and different maneuvers instead of different speeds
in a single maneuver to provide a range of test severity was to
reduce the sensitivity of the result to extraneous factors such
as tire wear.
It is noteworthy that the final rollover risk
model required results from only the fishhook maneuver. This
is an advantage from the standpoint of minimizing the practical
problems of the effects of tire wear during a test series and
of deviations from uniformity of surface friction at a test facility.
The fishhook maneuver produces less wear on the test tires and
requires only about 2 or 3 lane widths of uniform test surface
versus 10 or more lane widths for the J-Turn maneuver. The commenters
also considered it more representative of a real driving situation
than the J-Turn.
<
VII. Comments to the NPRM Notice and Agency Response
We received 39 comments to the NPRM notice from
vehicle manufacturers, equipment suppliers, test labs, public
interest groups, the National Transportation Safety Board, the
Insurance Institute for Highway Safety, attorneys, and members
of the public. Mainly, the comments addressed whether the static
and dynamic measurements should be used for separate ratings of
rollover resistance or for a combined rating based on a risk model.
The nature of the dynamic maneuver tests, testing of 15-passenger
vans, and several practical testing issues such as the extraneous
effects of tire wear, surface condition and ambient temperature
were also addressed. The notice also introduced the related subject
of handling ratings that was not part of the TREAD Act requirements.
We received a number of valuable comments on handling tests, and
we are still soliciting information. However, the subject of
this notice is confined to the TREAD Act requirements for dynamic
rollover ratings.
<
A. Combined or Separate Rollover Resistance Ratings
The main question posed in the NPRM notice was whether the rollover
resistance ratings should reflect the combined statistical power
of SSF and dynamic tests for predicting rollover risk or whether
ratings of rollover risk using SSF alone should continue, supplemented
with a qualitative comparison of dynamic test performance. The
notice gave alternative A as a risk model determined by logistic
regression analysis of state crash reports of single-vehicle crashes
for about 25 vehicles with known SSF and dynamic test results.
That process led to the risk model described in Section VI, however
the mathematical calculation of the model could not be performed
until the completion of a lengthy dynamic test program. Alternative
B in the notice was a continuation of rollover risk prediction
using SSF-only plus qualitative separate dynamic scores of A,
B, C, D, or E signifying the number of maneuvers in which the
vehicle tripped up without a risk interpretation.
Commenters representing TRW Automotive, National Automobile Dealers
Association (NADA), General Motors (GM), Alliance of Automobile
Manufacturers (Alliance), Association of International Automobile
Manufacturers (AIAM), Insurance Institute for Highway Safety (IIHS),
Bosch, Consumers Union, Advocates for Highway and Auto Safety
(Advocates), Toyota, Continental-Teves and Public Citizen remarked
directly on the question of combined versus separate use of SSF
and dynamic maneuver tests in rollover resistance ratings. Except
for Continental-Teves and Bosch, the commenters were in favor
of ratings that combined the SSF and dynamic maneuver tests in
a single rating. Consumers Union specifically supported the logit
risk model operating on a moderate risk scenario (in which rollover
rates vary in the approximate range of 0.075 to 0.55 across the
range of vehicles) as a way of combining the SSF and dynamic maneuver
tests. It commented that using the risk model it described was
consistent with the recommendations of the NAS study. We believe
the risk model we have developed is consistent with recommendation
of NAS and Consumers Union. It is the logit model with the risk
scenario (of demographic and road condition variables) that represents
the average crash conditions of 293,000 actual single-vehicle
crashes. It produces predicted rollover rates in the range of
0.09 to 0.50 for vehicles ranging from tip-up to no tip-up in
maneuvers and from 1.0 to 1.55 in SSF.
The other commenters in favor of combined ratings were primarily
concerned that separate ratings would be too confusing to serve
as consumer information. They believed a combined rating was
the only viable option, but they did not comment specifically
on the means used by NHTSA to develop the combined risk model.
IIHS and the Alliance (along with Carr Engineering) suggested
that another comment period following the notice containing the
actual model (as opposed to the example given in the NPRM notice)
would be necessary. GM suggested that the risk model be developed
through a collaborative effort along the lines of the Motor Vehicle
Safety Research Advisory Committee, and the Alliance suggested
a working-level dialog between NHTSA and the auto industry to
develop the risk model. TRW supported a single rating that would
be computed on the basis of the SSF only model with a predetermined
number of stars added or subtracted for dynamic maneuver performance
(determined without a statistical relationship to risk). Advocates
expressed wariness that the combined rating could be misleading
to consumers unless it corresponded to real-world rollover rates.
Public Citizen preferred the combined rating developed from a
risk model. It was concerned that consumers would focus more
attention on the dynamic maneuvers in separate ratings although
the tests represent an event (on-road untripped rollover) that
occurs in less than 5 percent of actual rollover crashes.
Continental-Teves and Bosch prefer separate ratings for SSF and
dynamic maneuver tests. Continental-Teves stated that "the relative
effects of SSF and dynamic performance are not well understood,
and may not be the same for every vehicle or every driver." Bosch
stated that "static and dynamic ratings should be separate, as
they are both equally important with regards to indicating stability
and safety of the vehicle." Bosch further explained that " a
combined rating may not adequately show the influence of such
systems [Electronic Stability Control and Rollover Mitigation]
which in turn would not encourage manufacturers to add systems
to vehicles that increase overall vehicle safety in potential
rollover as well as many other situations."
<
B. Crash Avoidance Technologies
Some of the stated expectations of the commenters about rollover
resistance ratings are unrealistic. The rollover resistance
ratings predict the likelihood of a single-vehicle crash becoming
a rollover. They do not predict the likelihood of the vehicle
becoming involved in a single-vehicle crash. Similarly, the frontal
and side NCAP crashworthiness ratings do not predict the likelihood
of the vehicle striking an object head-on or being struck from
the side. The Alliance comment anticipates the dilemma. While
conceding that SSF is strongly correlated with a tripped rollover
once the vehicle is already off-road, it states that " the likelihood
of being involved in a single-vehicle crash in the first place
- particularly one involving off-road excursion - is influenced
much more by demographic and environmental influences than is
the scenario examined for SSF purposes." The scenario used in
the combined risk model is the same scenario used in the SSF model,
namely the average demographic and environmental variables reported
by the states for the entire 293,000 single-vehicle crash data
base we have collected. We think this is the best scenario to
characterize single-vehicle crashes.
The Alliance is concerned that our model "may fail to account
for potentially beneficial technologies for avoiding single-vehicle
and rollover crashes, such as electronic stability control and
variable ride high suspension systems." Its concern is unnecessary
for variable ride-height suspension systems, which will be tested
in the highway rather than off-road height for both SSF and dynamic
maneuver tests, and the technology will certainly improve the
rating of vehicles so equipped.
However, the Alliance is right that the model does not predict
the risk of a single-vehicle crash. NHTSA has been very clear
in public notices, consumer information and web site presentations
that neither the SSF risk model nor the proposed combined SSF
and dynamic maneuver risk model predict the risk of having a single-vehicle
crash. From the standpoint of rollover resistance, single-vehicle
crashes are a measure of exposure. The prediction is of the risk
of a rollover resulting from the exposure of the vehicle to a
single-vehicle crash. The risk of rollover in the event of a
single-vehicle crash is strongly influenced by vehicle properties,
but the vehicle properties of modern vehicles have far less influence
in comparison to demographic and environmental factors regarding
the risk of a single-vehicle crash in the first place. However,
electronic yaw stability control may provide a real-world reduction
in single-vehicle crashes.
We have been optimistic about the potential of electronic yaw
stability control to reduce single-vehicle crashes. NHTSA's
consumer information identifies its availability as standard or
optional equipment on individual vehicles and explains how it
operates to help a driver maintain control in extreme circumstances.
One of the reasons we are exploring the possibility of NCAP handling
ratings is to describe the effect of yaw stability control on
handling predictability. However, the technology has not been
in widespread use long enough to produce much crash evidence for
the evaluation of its real-world effectiveness in preventing single-vehicle
crashes. Our previous attempts at evaluating its effectiveness
were thwarted by insufficient data.
Part of the motivation for the NAS study of NHTSA's SSF-based
rollover resistance ratings was the Alliance's concern that yaw
stability control was not being considered. In its public oral
presentation to the NAS study committee in May 2001, NHTSA said
it did not expect yaw stability control to have a large effect
on the risk of rollover given a single-vehicle crash. In its
view, the large majority of rollovers were the result of various
types of tripping, and SSF represented the most important vehicle
attributes in those circumstances. NHTSA believes that the greatest
potential effect of yaw stability control was in reducing single-vehicle
crashes in the first place. Therefore, we suggested to the committee
that rather than trying to predict rollovers per single-vehicle
crash with dynamic maneuver tests, we should keep SSF for that
purpose and adjust the comparative risk for vehicles with yaw
stability control by the effect of yaw stability control to reduce
exposure to single-vehicle crashes. However, establishing the
effectiveness of yaw stability control would require data not
available for at least two or three more years. Neither the NAS
committee nor the Alliance, which was active in providing the
committee information, expressed interest in this suggestion.
But the present comments indicate that finding a way to include
the crash avoidance potential of yaw stability control is a principal
concern of the Alliance and several suppliers of these systems.
IIHS's comment also shows an expectation of more than what is
possible for a rollover resistance rating. It discusses a comparison
of the 1997 Jeep Grand Cherokee and 1997 Toyota 4Runner made in
one its reports. In that report, the Toyota had four times the
number of fatal rollovers per 100,000 registered vehicles as the
Jeep, but they had very similar SSFs. They also had very similar
rollover rates in terms of rollovers per single-vehicle crash
that were consistent with their SSFs. IIHS expects a good dynamic
rating to show a large difference between the Grand Cherokee and
the 4Runner. That will not be possible because differences in
dynamic maneuver test performance predict only small differences
in rollover rate, and, in fact, there is not a large difference
in rollover rate between these vehicles in terms of rollovers
per single-vehicle crash in our six state crash data base. The
difference is in the definition of rollover rate. A rollover
rate in terms of fatal rollovers per 100,000 vehicles depends
on the rate of single-vehicle crashes per 100,000 vehicles and
on the occurrence of a fatality in the rollover as well as on
the rate of rollover per single-vehicle crash. The first two
of these factors depend primarily on demographic and environmental
influences and can mask actual differences or similarities between
vehicles as in this case. Neither vehicle had yaw stability control,
which would have created a plausible vehicle-related difference
in single-vehicle crash rate. The difference in fatality rate
could involve crashworthiness features, or particularly in the
case of rollover, it could merely reflect the seat belt wearing
habits of a risk taking demographic that also experienced a higher
rate of single-vehicle crashes. The rate of rollovers per single-vehicle
crash is much less sensitive to demographic influences than is
the rate of fatal rollovers per 100,000 vehicles.
Carr Engineering and Suzuki commented that the agency was not
following the recommendations of the NAS study by performing J-Turn
and Fishhook maneuver tests. They believe that the NAS recommended
handling tests to assess loss of control potential rather than
limit maneuvers to assess the resistance of the vehicle to actual
on-road tip-up. We agree that the language of the NAS study report
is somewhat ambiguous. That is why we included in our NPRM notice
the clarification the NAS study panel gave us during the presentation
of the report to NHTSA in response to our direct questions about
J-Turn and Fishhook tests versus handling tests. The NAS study
committee clarified that it envisioned dynamic maneuver tests
as limit maneuvers where loss of control and actual on-road vehicle
tip-up can be expected for vulnerable vehicles. The NAS study
panel stated it was not in a position to recommend a specific
test because that would require study of discriminatory capability,
repeatability and other properties, but J-Turns and Fishhooks
were of the type of tests it had in mind. Two outside experts
in vehicle dynamics and testing reviewed our test plan before
the Phase VI test of the 25 vehicles. One had been a member of
the NAS study committee. Once again, we were assured that our
tests were consistent with the NAS recommendations.
We believe that both our test selection and our analysis method
of developing a rollover risk model to combine SSF and dynamic
test results are entirely consistent with the recommendations
of the NAS study and therefore appropriate to satisfy the requirements
of the TREAD Act. We agree that it is important to inform consumers
of the effectiveness of yaw stability control in reducing single-vehicle
crashes, and we will determine its effectiveness from crash report
data as sufficient data becomes available.
<
C. The J-Turn and Fishhook Maneuvers
There were a number of comments regarding the J-Turn and Fishhook
test protocols from the Alliance, GM, Toyota, Honda, Nissan, Renfroe
Engineering, Carr Engineering, Mechanical Systems Analysis Inc,
and Automotive Testing Inc. In addition, Ford made a detailed
presentation elaborating on some of the subjects introduced in
the Alliance comment. The Ford presentation material was placed
in Docket NHTSA-2001-9663.
A number of the commenters objected to the J-Turn maneuver because
they thought it was not representative of real driving, involved
too fast a steering movement, or was redundant. Since its results
were not used in the risk model, we agree that it is redundant.
As a result, we are no longer planning to use it in the NCAP testing
program.
Except for Suzuki, Carr Engineering and Ford, those who commented
on the maneuver tests supported the Fishhook maneuver. Carr Engineering
and Advocates objected to calling the Fishhook maneuver a road
edge recovery test as we had done in the NPRM notice. While the
Fishhook maneuver includes steering commands like a crash involving
road edge recovery, it is performed on a smooth uniform surface
instead of one with vertical drop-offs and friction coefficients
differences that exist |