Comparison of Multivariate Poisson lognormal spatial and temporal crash models to identify hot spots of intersections based on crash types

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• 作者：Wen Cheng^a ; ^{wcheng@cpp.edu} ; ^{fwen26@gmail.com} ; Gurdiljot Singh Gill^a ; ^{gurdiljotg@cpp.edu} ; Ravi Dasu^b ; ^{rkmdasu@gmail.com} ; Meiquan Xie^a ; ^c ; ^mxie@cpp.edu ; Xudong Jia^a ; ^xjia@cpp.edu ; Jiao Zhou^a ; ^{jiaozhou@cpp.edu}
• 关键词：Hot spot identification ; Multivariate ; Spatial correlations ; Temporal correlations ; Cross validation ; Crash count models
• 刊名：Accident Analysis & Prevention
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：99
• 期：part_PA
• 页码：330-341
• 全文大小：1223 K
• 卷排序：99

文摘

Five multivariate crash type-based spatial and temporal models were developed. Six different crash types were investigated and observed to have correlations. Five validation techniques for comparison of crash estimation performance of models. Better model fit was not transferred to equivalent performance at crash estimation.