User Portrait Method of Freeway Freight Car for Risk Identification of Freight Transportation
Received date: 2022-08-17
Online published: 2022-11-22
Supported by
the National Natural Science Foundation of China(52072130);the Natural Science Foundation of Guangdong Province(2021A1515010409)
At present, the freight car overload phenomenon is coming from bad to worse, in order to improve the efficiency of freight car control on the highway and the level of safety in the freight transport, a freight transport risk level identification model based on user portrait of freight risk was proposed. Firstly, based on highway toll data, taking freight car as the research object, a user portrait system for freight transport risk identification was developed from the aspects of driving behavior and operation status. Then，the sample data was cleaned and the label index was extracted and analyzed. Then, K-means++ algorithm was applied to obtain the classification results of freight transport risk feature portraits. Next, the entropy weight method was used to score the freight risk of all kinds of freight car to determine the risk level of all kinds of freight car. Finally, by combining with the relevant indicators of various types of vehicles, the vehicle portrait was completed. Based on the trucking toll data of the entire highway network in Guangdong Province from March to May 2022, the proposed model was used to divide the trucking vehicles into five categories. Among them, “the freight car of high risk and high workload” accounted for 5.42%, the freight car of higher risk and night-driving and overloaded ”accounted for 19.12%, “the freight car of medium-risk and overspeed” accounted for 12.85%, “ the freight car of low risk and low-frequency” accounted for 37.00%, and “ the freight car of low risk and high-frequency ” accounted for 25.61%. The validity of the model was verified by the data of an accident database in Guangdong Province in the same period. The data showed that the relative risk coefficient of high risk vehicles is much higher than that of low risk vehicles. The research shows that the proposed model can effectively identify trucks with high freight risk characteristics. Based on the results of risk grade identification, traffic management departments can carry out high-risk vehicle identification, key inspection of overload and over-limit, and specific message push to guide vehicle driving safety, so as to improve the safety management level of the industry.
Key words： traffic safety; freight car; freeway; network toll; clustering algorithm; user portrait
LIN Peiqun, GONG Minping, ZHOU Chuhao . User Portrait Method of Freeway Freight Car for Risk Identification of Freight Transportation[J]. Journal of South China University of Technology(Natural Science), 2023 , 51(6) : 1 -9 . DOI: 10.12141/j.issn.1000-565X.220525
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