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Application of multinomial and ordinal logistic regression to model injury severity of truck crashes, using violation and crash data

Mahdi Rezapour Khaled Ksaibati

现代交通学报（英文版）2018，Vol.26Issue(4)：268-277,10.

Application of multinomial and ordinal logistic regression to model injury severity of truck crashes, using violation and crash data

Mahdi Rezapour ¹Khaled Ksaibati²

作者信息

1. Department of Civil and Architectural Engineering, University of Wyoming, Office: EN 3084, E University Ave, Dept. 3295, Laramie, WY 82071, USA
2. Wyoming Technology Transfer Center, 1000 E. University Avenue, Department 3295, Laramie, WY 82071, USA
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摘要

关键词

Single-truck crash/Multiple-truck crash/Driving violation/Traffic enforcement/Logistic regression/Injury truck crashes

Key words

Single-truck crash/Multiple-truck crash/Driving violation/Traffic enforcement/Logistic regression/Injury truck crashes

引用本文复制引用

Mahdi Rezapour,Khaled Ksaibati..Application of multinomial and ordinal logistic regression to model injury severity of truck crashes, using violation and crash data[J].现代交通学报（英文版）,2018,26(4):268-277,10.

基金项目

The Wyoming Technology Transfer (WYT2/LTAP) center at the University of Wyoming provided extensive resources to assist in the compilation of the data sets used. WYDOT provided the funding of this study. Special acknowledgement goes to WHP and WYDOT for providing the data used in this research. （WYT2/LTAP）

现代交通学报（英文版）

ISSN：2662-4745

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