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原文传递 Using Floating Car Data to Investigate Relationships between Speed and Safety on Urban Arterials

题名：	Using Floating Car Data to Investigate Relationships between Speed and Safety on Urban Arterials
正文语种：	中文
作者：	Fan Tianxiang Wang Xuesong
作者单位：	The Key Laboratory of Road and Traffic Engineering,Ministry of Education,Tongji University,4800 ao'an Road,Jiading istrict,Shanghai 201804, hina Jiangsu Province ollaborative Innovation enter of Modern Urban Traffic Technologies,SiPaiLou ＃2,Nanjing 210096 hina
关键词：	Urban Arterial Floating Car Data Bayesian Model Maximum Likelihood Estimation Prior
摘要：	Urban arterials feature large traffic volumes and severe traffic safety conditions.For the purpose of improving traffic safety,the key issue is to identify crash occurrence contributing variables,of which speed arouses attention increasingly.Floating Car Data obtained by taxis equipped with Global Positioning System,were used in the study to capture the features of speed along a segment.Based on a total of 234 one direction road segments from 8 arterials,this study aims at analyzing safety performance considering average segment speed.Regarding data structure as arterial-level and segment-level,Bayesian hierarchical Poisson log-normal model was developed.In addition,Maximum Likelihood Estimation prior was adopted to improve estimates reliability.Results indicated average segment speed was negatively associated with crash occurrence; other variables(e.g.density of signal spacing,segment volume,segment length,number of lanes,number of phases,bus-only lane)were also significantly associated with crashes.
会议日期：	20151104
会议举办地点：	无锡
会议名称：	第十届中国智能交通年会
出版日期：	2015-11-04
母体文献：	第十届中国智能交通年会论文集