Research on Early Warning Method for Traffic Congestion based on Traffic Flow Basic Map
A congestion warning method based on changes in the slope of traffic flow basic maps is proposed to address the research gap in which existing research cannot effectively warn of congestion using interpretable methods in the absence of high-quality observation data.Generally speaking,highway traffic congestion is caused by actual traffic flow exceeding the road capacity.When congestion occurs,there will be significant changes in traffic flow and speed.Therefore,a congestion warning framework is proposed,which first determines the range of speed and flow values before and after congestion by observing actual traffic flow data.Then,through data fitting,an appropriate traffic flow model is selected to describe the basic relationship between the traffic parameters of the selected road section.Subsequently,a congestion warning model based on the slope change of the basic traffic flow graph is proposed.Finally,within the preliminary warning range determined by historical data,the proposed model is used to identify the potential congestion points and achieve early warning of traffic congestion.Through verification of actual highway traffic flow data,the accuracy rate of early warning is as high as 93.75％.
traffic flow modelbasic map of traffic flowtraffic capacitycongestion early-warning model
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