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Quantifying the Safety Effects of Driver Assistive Systems

• Jul 30, 2020

Research Description

This research proposes to build a framework to quantify the safety effects of Driver Assistive systems. This may later be extrapolated to different levels of Autonomous vehicles. The output of the framework is a fitted model that gives the expected number of crashes as a Function of Vehicle Miles Traveled (VMT), and Penetration rate of the of Assistive systems (% vehicles having the assistive system). Since different systems target different crashes, they need to be segregated and modeled separately. The model could be statewide, but geographic regions could be defined in other ways too. Every year’s data is considered as a point in the model. It is estimated 15 data points would be reasonable to fit a model.

The following information is needed for each considered data point:

Yearly VMT of the considered region Number of crashes and their types in that year – from crash data bases No. of vehicles having the assistive system the model is built for in that year - From DMV registration records.

The framework for this model was has been developed but would be refined under this research.

Additional Supporting Information

This research idea was developed by Shalini Ghosh of WSP and is based on research conducted as a Master's student at NC State University. It is supported by the TRB Committee on RTSMO.

Shalini Ghosh WSP shalini.ghosh@wsp.com 984-269-8866

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Submitted By

Thomas Jacobs

Center for Advanced Transportation Technology

301-405-7328

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