This report documents work done to advance the state of art in crash simulation. This includes: (1) A field study to collect data on drivers’ left-turn gap acceptance and turning times, and development of statistical models that can be incorporated into a crash simulation model; (2) The use of Markov Chain Monte Carlo computational tools to quantify uncertainty in planar impact reconstruction of two-vehicle crashes; (3) A method for combing the results from planar impact reconstruction with event data recorder pre-crash data to estimate descriptive features of actual left-turn crashes. This is applied to several left-turn crashes from the National Highway Traffic Safety Administration’s NASS/CDS database; (4) A left-turn crash simulation model incorporating the above results. Initial model checking is performed using estimates from the reconstructed NASS/CDS cases as well as results from a previous study on left-turn crash risk. Also described is a method for simulating crash modification effects without having to first simulate crashes as rare outcomes in very large numbers of gap acceptances.
Developing and Validating a Model of Left-Turn Crashes to Support Safer Design and Operations
2018
122 pages
Report
No indication
English
Transportation Safety , Road Transportation , Transportation & Traffic Planning , Problem Solving Information for State & Local Governments , Transportation , Crash reconstruction , Traffic safety , Markov Chain Monte Carlo computational tools , Simulation , Event data recorders , National Highway Traffic Safety Administration (NHTSA)
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