Proceedings of the 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention

The Correlation Analysis of Influencing Factors and Harmfulness of Expressway Traffic Accident

Authors
Xiaoli Huang, Yaolong Liu, Jin Duan, Huaming Zhang
Corresponding Author
Xiaoli Huang
Available Online November 2016.
DOI
https://doi.org/10.2991/rac-16.2016.64How to use a DOI?
Keywords
highway accident; influence factor; harmfulness; correlation
Abstract
Highway traffic accidents are characterized by high death rate, large economic losses and so on. Based on the gray system theory, the gray correlation analysis model of accident causes and hazard indexes is set up, with the number of accidents caused by different reasons as the standard data array and hazard indexes of traffic accident as the correlation data array, and the correlation degree of each factor to the accident risk is calculated. The results shows that the main reasons for the freeway traffic accident deaths for pedestrians and passengers occupied lane illegally. The main cause of injury and direct property loss is motor vehicle violations. Improving the driving people's traffic laws, enhancing the sense of safety of pedestrians can reduce the risk of highway traffic safety.
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Proceedings
7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-242-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/rac-16.2016.64How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiaoli Huang
AU  - Yaolong Liu
AU  - Jin Duan
AU  - Huaming Zhang
PY  - 2016/11
DA  - 2016/11
TI  - The Correlation Analysis of Influencing Factors and Harmfulness of Expressway Traffic Accident
BT  - 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016)
PB  - Atlantis Press
SP  - 401
EP  - 405
SN  - 1951-6851
UR  - https://doi.org/10.2991/rac-16.2016.64
DO  - https://doi.org/10.2991/rac-16.2016.64
ID  - Huang2016/11
ER  -