Rapid warning of abnormal expressway congestion events is an important means for managers to manage and make decisions, guide them to choose reasonable travel paths, and improve the efficiency of highway traffic. In this paper, by analyzing the data of vehicle passage time, traffic speed and traffic density of the highway ETC gantry system, this paper focuses on the data characteristics of the ETC gantry system, constructs a highway congestion index fusion model based on speed and traffic density, and develops a rapid warning model for abnormal congestion events in order to detect abnormal events of highway congestion in advance, which provides strong support for early identification of the operation status of the road network and early detection of abnormal congestion events. After research, the rapid warning model of highway congestion abnormal events based on ETC gantry system is of great significance to improve the traffic safety level of road sections and reduce the loss of life and property caused by traffic accidents. According to statistics, the overall highway accident rate can be reduced by more than 10%, and the rescue time can be shortened by 15.7%.
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Pan et al. (2024) studied this question.
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