Affiliation:
1. Virginia Polytechnic Institute and State University, USA Virginia Tech, Transportation Institute, USA
Abstract
<div>The primary objective of this study was to evaluate the fatality risk of powered two-wheeler
(PTW) riders across different impact orientations while controlling for different opponent
vehicle (OV) types. For the crash configurations with higher fatality rate, the secondary
objective was to create an initial speed–fatality prediction model specific to the United
States. Data from the NHTSA Crash Reporting Sampling System and the Fatality Analysis Reporting
System from 2017 to 2020 was used to estimate the odds of the different possible vehicle
combinations and orientations in PTW–OV crashes. Binary logistic regression was then used to
model the speed–fatality risk relationship for the configurations with the highest fatality
odds. Results showed that collisions with heavy trucks were more likely to be fatal for PTW
riders than those with other OV types. Additionally, the most dangerous impact orientations
were found to be those where the PTW impacted the OVs front or sides, with fatality odds,
respectively, four and five times higher than when the OV rear-end was impacted. The high
variability in the odds of different crash configurations suggests the importance of
considering the impact orientation factor in future injury prediction models. The
speed–fatality prediction models developed for head-on and side crashes could provide an
initial tool to evaluate the effectiveness of advanced rider assistance systems and other
safety countermeasures in the United States, particularly those that result in speed
reductions.</div>
Subject
Mechanical Engineering,Safety Research,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics,General Medicine