Morning and evening peak congestion conditions and propagation mechanism analysis method based on granger causality road network

Abstract

The invention relates to a method for analyzing morning-evening rush hour congestion conditions and propagation mechanism of road network based on Granger causality. The method comprises the following steps of: 1) establishing a time sequence of the traffic state of an intersection: modeling road intersections by adopting a dual method, taking a road section as a node, abstracting the intersections as edges between the nodes, preprocessing traffic state data, sorting out a directional intersection all-day saturation time sequence, selecting congestion time in the morning and evening rush hours, and selecting a traffic state time sequence with a set length forwards; 2) constructing a road network congestion propagation relationship network based on Granger causality; 3) searching key nodes based on the average out-degree and the average in-degree of the nodes, introducing a dynamic propagation model, fitting the congestion propagation process of the road network, and constructing a traffic congestion propagation mechanism of the road. The method is simple and beneficial to software implementation, and the result can be applied to traffic state analysis and traffic guidance and control systems.

Description

technical field [0001] The invention belongs to the field of acquisition of traffic jam status, and relates to a traffic jam situation and a dynamic propagation analysis method. Background technique [0002] In recent years, the problem of ground traffic congestion has become more and more serious, and how to reduce congestion has become a problem of our general concern. To study traffic congestion, it is necessary not only to identify and predict congestion, but also to conduct an in-depth analysis of the propagation law and influencing factors of congestion. The study of congestion propagation law can predictively discover congestion phenomena and explore its spread and spread. The objective laws of traffic flow and diffusion provide decision-making basis for better selection of traffic flow management methods. [0003] Most of the existing studies on traffic networks focus on the analysis of the relationship between network topology, network traffic load and traffic cong...

AI Technical Summary

Problems solved by technology

[0003] Most of the existing studies on traffic networks focus on the analysis of the relationship between network topology, network traffic load and traffic congestion, but less research on the congestion propagation process

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