Study on crash severity prediction model of freeway - 文章详情页

作者：

Zhong, L. (Zhong, L..) | Sun, X. (Sun, X..) | He, Y. (He, Y..) | Hou, D. (Hou, D..)

收录：

Scopus

摘要：

This　study　introduced　the　use　and　principle　of　Crash　Severity　Prediction　Model　(CSPM).　Base　on　the　collected　data　of　freeway　CSPM　was　established　with　Multinomial　Logistic　Regression　method,　and　the　result　indicated　that　city_rural　variable,　the　speed　difference　between　cars　and　large　vehicles　and　truck　percent　age　have　large　influence　on　the　crash　severity.　Finally　the　direction　and　focus　of　CSPM　study　of　future　were　explored.

关键词：

Crash severity prediction model; Freeway; Multinomial logistic regression

作者机构：

[ 1 ] [Zhong, L.]Key Lab of Traffic Engineering, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Zhong, L.]Research Institute of High-way, Ministry of Communications, Beijing 100088, China
[ 3 ] [Sun, X.]Key Lab of Traffic Engineering, Beijing University of Technology, Beijing 100124, China
[ 4 ] [He, Y.]Key Lab of Traffic Engineering, Beijing University of Technology, Beijing 100124, China
[ 5 ] [Hou, D.]Research Institute of High-way, Ministry of Communications, Beijing 100088, China

通讯作者信息：

[Zhong, L.]Key Lab of Traffic Engineering, Beijing University of Technology, Beijing 100124, China

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