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Identifying crash type propensity using real-time traffic data on freeways
Abstract : We examine the effects of various traffic parameters on type of road crash. Multivariate Probit models are specified on 4-years of data from the A4-A86 highway section in the Ile-de-France region, France. Empirical findings indicate that crash type can almost exclusively be defined by the prevailing traffic conditions shortly before its occurrence. Rear-end crashes involving two vehicles were found to be more probable for relatively low values of both speed and density, rear-end crashes involving more than two vehicles appear to be more probable under congested congestions, while single-vehicle crashes appear to be largely geometry-dependent.
Mots-clés :
ACCIDENT DE LA ROUTE
ACCIDENT
https://hal.archives-ouvertes.fr/hal-01221053
Contributor : Ifsttar Cadic Connect in order to contact the contributor
Submitted on : Tuesday, October 27, 2015 - 12:59:16 PM
Last modification on : Saturday, January 15, 2022 - 3:47:40 AM
Contributor : Ifsttar Cadic Connect in order to contact the contributor
Submitted on : Tuesday, October 27, 2015 - 12:59:16 PM
Last modification on : Saturday, January 15, 2022 - 3:47:40 AM