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Clearance time prediction of traffic accidents: A case study in Shandong, China.

Authors :
Anyi Zhang
Fanyu Meng
Wenwu Gong
Yiping Zeng
Lili Yang
Diping Yuan
Source :
Australasian Journal of Disaster & Trauma Studies; 2022 Special Issue, Vol. 26, p185-194, 10p
Publication Year :
2022

Abstract

Accurate predictions of the clearance time of highway accidents can help make more effective decisions and reduce the economic losses caused by the accidents. This paper compares two representations of traffic accidents with mixed vehicle types and establishes two different classification models. The traffic accident data in Shandong Province, China from 2016 to 2019 are used as a case study. The interpretability of the parametric model indicates that the types of vehicles involved in the accident, the type of accident, and the weather can significantly affect the clearance time of the accident. The results of this study can not only provide evidence of whether the types of vehicles involved in the accident will affect the accident clearance time, but also provide advice for the authorities to quickly clear accident scenes and prevent further accidents. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
11744707
Volume :
26
Database :
Complementary Index
Journal :
Australasian Journal of Disaster & Trauma Studies
Publication Type :
Academic Journal
Accession number :
161132451