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5 October 2020 Identification of Risk Sources of Abnormal Driving Vehicles of Expressway in Port City
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Wang, X.L.; Gan, Y.Z.; Lian, M.K.; Bi, B.W., and Tang, Y.J., 2020. Identification of risk sources of abnormal driving vehicles of expressway in port city. In: Guido Aldana, P.A. and Kantamaneni, K. (eds.), Advances in Water Resources, Coastal Management, and Marine Science Technology. Journal of Coastal Research, Special Issue No. 104, pp. 317–321. Coconut Creek (Florida), ISSN 0749-0208.

The analysis on abnormal driving vehicle is to identify the key factors of vehicle driving warning in Highway, by analyzing the factors that lead to the abnormal driving state of the vehicle, identify the key indicators in the vehicle driving safety of expressway, and provide theoretical support for the research of vehicle abnormal driving early warning. Based on the analysis of 8791 highway traffic accidents in China from 2012 to 2016, through the improved grey correlation analysis, the correlation degrees of vehicle braking state, deflection state, deviation state and traffic accidents of expressway are 0.4061, 0.0352, 0.2836 respectively; Set the probability level range of traffic accident under risk as 1-5, Selecting the cause of abnormal driving state risk of Expressway vehicles by risk probability index method, the risk probability indexes of speeding, fatigue driving, not keeping safe distance and special weather conditions are 25, 5, 5 and 5 respectively; The risk probability indexes of drivers overtaking illegally, changing lane illegally and failing to let the car in accordance with the regulations are 10, 5, 5 respectively; The risk probability indexes of tire burst, driver overload and improper steering are 6, 5, 4 respectively.

©Coastal Education and Research Foundation, Inc. 2020
Xiliang Wang, Yuanzhen Gan, Mengke Lian, Bowen Bi, and Yujing Tang "Identification of Risk Sources of Abnormal Driving Vehicles of Expressway in Port City," Journal of Coastal Research 104(sp1), 317-321, (5 October 2020).
Received: 21 November 2019; Accepted: 11 June 2020; Published: 5 October 2020

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