Probabilistic rating of safety on local streets

Gary A Davis, Patrick T. Corkle

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Identifying those local streets having a high risk for pedestrian-vehicle collisions is often difficult because the rarity of such collisions compromises the accuracy of accident rate estimates. As an alternative, this paper describes how to compute nonparametric predictions of the frequency and collision speed of a hypothetical vehicle-pedestrian accident, using samples of vehicle and pedestrian speeds. This method can be used to rank streets as to priority for traffic control measures, and if the effect of control measures on vehicle volumes and speeds can be predicted, the method can be used to rank different proposed control measures with respect to predicted safety benefits.

Original languageEnglish (US)
Title of host publicationChallenges, Innovations, and Opportunities
EditorsRahim F. Benekohal
PublisherASCE
Pages465-471
Number of pages7
StatePublished - Jan 1 1997
EventProceedings of the 1997 Conference on Traffic Congestion and Traffic Safety in the 21st Century - Chicago, IL, USA
Duration: Jun 8 1997Jun 11 1997

Other

OtherProceedings of the 1997 Conference on Traffic Congestion and Traffic Safety in the 21st Century
CityChicago, IL, USA
Period6/8/976/11/97

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