Optimal Traffic Flow Prediction Method and Congestion Charging Method Based on Multiple Path Sets

Abstract

The invention relates to an optimal traffic flow prediction method based on multiple path sets and a congestion charging method. The method comprises steps that S0, traffic surveys are organized, andthe demand for different categories of travelers between OD pairs and their reasonable path sets are determined; S1, in the zero flow network, flow loading is carried out to obtain an auxiliary path flow f<-><0>, the initial path flow f<0> is made to be equal to f<-><0>, and k=0; S2, a generalized path travel time vector c<~><k> for each path is calculated; S3, flow loading is carried out to obtain an auxiliary path flow vector f<-><k>; S4, if the convergence requirement is met, iteration is stopped, and a current iteration point f<k> is taken as the optimal system path flow; otherwise, the process turns to a S5; S5, along the direction f<-><k>-f<k>, the certain line search method is utilized to calculate the iteration step size lambdak; and S6, the path flow is updated, f<k+1> is made tobe equal to f<k>+lambda<k>(f<-><k>-f<k>), k is made to be equal to k+1, and the process turns to the S2. The method is advantaged in that the method is valid and practical, even if the same charges are imposed on different types of travelers, the optimal system state can still be achieved.

Description

technical field [0001] The present invention relates to the technical field of traffic model construction, traffic congestion charging and traffic flow distribution prediction, in particular to an optimal traffic flow prediction method and a congestion charging method based on multiple path sets, which constructs a new type of stochastic system optimal model, and On this basis, the forecasting method of the route flow under the optimal condition of the system, and the non-discriminatory charging method to achieve the optimal operating efficiency of the traffic system are studied. Background technique [0002] With the rapid development of my country's economy and the advancement of urbanization, traffic congestion has become one of the important factors restricting urban development. Congestion pricing is a common economical method of reducing congestion in transport networks. [0003] How to design the congestion charge rate to make the traffic network reach the optimal sy...

AI Technical Summary

Problems solved by technology

Since the set of reasonable paths of travelers is different, these sets cannot be accurately known when charging is implemented, so non-discriminatory charging must be adopted to charge the same fee to different types of travelers

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