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ABS, Crash Speed and Injury Severity

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Presentation on theme: "ABS, Crash Speed and Injury Severity"— Presentation transcript:

1 ABS, Crash Speed and Injury Severity
Jim Ouellet Motorcycle Accident Analysis Playa del Rey, CA State Motorcycle Safety Administrators National Motorcycle Training Summit Sacramento, California September 12-16, 2018

2 ABS What ABS and Autonomous Emergency Braking (AEB) can do is pretty limited. In motorcycle-car crashes, better braking can delay arrival at Point of Impact (POI). Often there’s too little time to prevent a crash, only to reduce speed Is that enough?

3 Collision Avoidance

4 Time From Precipitating Event to Impact

5 “At-Risk Zone Locations for Hypothetical Car Left Turn from Stopped Position

6 Hypothetical “At Risk” Zones for a Car Left Turn from Stopped
Collision unavoidable Collision avoidable with braking g Collision avoidable with braking < .4g Collision occurs if the rider brakes

7 Hypothetical “At Risk” Zones for a Car Left Turn at Constant 13 mph
Collision certain Braking at g required Braking at < .4g required

8 “At Risk” Zones for a Hypothetical Car Crossing From the Near Curb

9 Variables that Affect Location and Make-up of “At-Risk” Zones
Motorcycle speed and lane position Rider reaction time Motorcycle deceleration rate Car type of maneuver Car speed Car evasive action

10 Some Take-Aways The point is that any time another vehicle violates a motorcycle right-of-way, an “at-risk” zone for a possible crash is present. The ability of braking to prevent a crash is limited by the exact location of the motorcycle within the “at-risk” zone. The area in which high rates of deceleration can actually prevent a crash is much smaller than the total “at-risk” zone. Improved braking also creates a small zone in which a rider could brake effectively enough to be hit by a car he could have avoided by not braking.

11 Crash Speed and Rider Injury Severity

12 Cumulative Percent Distribution, Motorcycle Crash Speed x Rider Medical Treatment, Hurt Study

13 A quick primer on correlations
Temperature: Fahrenheit vs. Centigrade Most Severe Somatic Injury vs. Somatic Injury Severity Score R = 1.0 r = 1.0 r = .82 Temperature vs. Somatic Injury Severity Score r = -.11 r = .32, r2 = .102 Crash speed : Somatic ISS

14 Correlations of Injury Severity with Crash Speed & Crash Speed Squared, Hurt Study
Injury Measure Pearson r correlations Spearman rho correlations, Vcrash or V2crash Crash Speed (Vcrash) Crash Speed Squared (V2crash) Injury Severity Score (ISS) .374 .382 .361 Somatic ISS .325 .340 .318 Most Severe Somatic Injury .319 .305 .300 Most Severe Head-Neck Injury .337 .323 .279 Most Severe Brain Injury .307 .291 .284 Medical Treatment .390 .364 .378

15 These linear correlation coefficients –generally about. 3 -
These linear correlation coefficients –generally about mean that crash speed, by itself, accounts for about % of the variation in rider injury severity.

16 Scatter-plot of Most Severe Below-the-Neck Injury
versus Motorcycle Crash Speed, Hurt Study

17 Box-plot of Most Severe Below-the-Neck Injury versus Motorcycle Crash Speed, Hurt Study

18 Scatter-plot of Most Severe Somatic Injury versus Motorcycle Crash Speed, Thailand

19 Box-plot of Most Severe Somatic Injury vs
Box-plot of Most Severe Somatic Injury vs. Motorcycle Crash Speed, MAIDS

20 Why Are the Correlations Between Crash Speed and Injury Severity So Low?

21 Motorcycle & Rider Impacts on the Side of a Moving Car, Perpendicular Impact
3 4 5 2 1

22 Motorcycle Crashes Have a High Level of Randomness – Unpredictability – in Injuries

23 Expected Effects of Improved Braking Systems
Some crashes will be prevented. Average motorcycle crash speed in a population of crashes will be lower Injury severity in a population of crashes will generally be lower The effect on injuries in an individual crash will be unpredictable.

24 The mild effect of improved braking on injury severity is the reason why the best – the only – effective strategy is to prevent motorcycle crashes entirely.

25 Yet motorcycles are mostly neglected in the development of a connected intelligent traffic system.

26 Thank You


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