首页> Accident; analysis and prevention> Derivation of the Empirical Bayesian method for the Negative Binomial-Lindley generalized linear model with application in traffic safety.

Derivation of the Empirical Bayesian method for the Negative Binomial-Lindley generalized linear model with application in traffic safety.

导出 LinkOut

翻译打印收藏纠错

第一作者： Ali,Khodadadi

第一单位： Texas A&M University, 3136 TAMU, College Station, TX 77843-3136, United States. Electronic address: a.khodadadi1994@tamu.edu.

作者： Ali,Khodadadi ^[1] ; Ioannis,Tsapakis ^[2] ; Mohammadali,Shirazi ^[3] ; Subasish,Das ^[4] ; Dominique,Lord ^[5]

作者单位： Texas A&M University, 3136 TAMU, College Station, TX 77843-3136, United States. Electronic address: a.khodadadi1994@tamu.edu. ^[1] Texas A&M Transportation Institute, 3500 NW Loop 410, Suite 315 San Antonio, TX 78229, United States. Electronic address: i-tsapakis@tti.tamu.edu. ^[2] University of Maine, Orono, Maine, 04469, United States. Electronic address: shirazi@maine.edu. ^[3] Texas A&M Transportation Institute, 3135 TAMU, College Station, TX 77843, United States. Electronic address: s-das@tti.tamu.edu. ^[4] Texas A&M University, 3136 TAMU, College Station, TX 77843-3136, United States. Electronic address: dlord@civil.tamu.edu. ^[5]

关键词 Crash prediction model Empirical Bayesian Expected crash values Full Bayesian Hot spot identification Negative Binomial-Lindley

主题词事故, 交通(Accidents, Traffic);贝叶斯定理(Bayes Theorem);环境设计(Environment Design);人类(Humans);线性模型(Linear Models);模型, 统计学(Models, Statistical);安全(Safety)

DOI 10.1016/j.aap.2022.106638

PMID 35339878

发布时间 2022-04-20

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交