Simulation method of road network traffic flow characteristics based on Manhattan urban network with long-range edges

Abstract

The method of the present invention first constructs the Manhattan urban network, randomly sets the long-distance connection, and adopts the single-port clockwise timing release rule to set the traffic lights; then, adopts the update rule based on the NaSch model to update the vehicle state, and sets the long-distance connection for the Manhattan urban network and the long-distance connection. Different maximum driving speeds of vehicles; then, randomly select the starting point and end point of the vehicle, and set the vehicle to travel along the shortest path; finally, set the particle density and the total number of particles, initialize the system, and use the parallel update rule to simulate the traffic flow characteristics of the road network and simulation. The method of the present invention not only comprehensively considers the road section model, the intersection model and the road network model of the traffic flow characteristics of the road network, but also sets the long-distance connection edge, the vehicle OD attribute and the shortest path driving rule, and sets the long-distance connection edge and the Manhattan urban network. Different maximum driving speeds of vehicles are realized, which better simulates the actual characteristics of vehicles and the multi-layered nature of urban road networks.

Description

technical field [0001] The invention relates to a road network traffic flow characteristic simulation method for intelligent transportation, which can provide theoretical basis for road planning, traffic control and traffic management. Background technique [0002] With the rapid development of the economy and the continuous advancement of urbanization, the number of motor vehicles continues to increase, and the load on urban roads continues to increase. As a result, urban traffic is subject to more and more severe tests, and traffic congestion is becoming more and more serious. How to reasonably plan traffic resources and alleviate urban traffic congestion has become an urgent problem to be solved. Traffic flow theory is a theory that analyzes the relationship among factors such as people, vehicles, roads, and the environment, and studies the relationship between traffic flow, speed, and density. The simulation of road network traffic flow characteristics is based on the tr...

AI Technical Summary

Problems solved by technology

[0005] At present, the existing road network traffic flow characteristics simulation methods mainly have the following problems: 1) they cannot fully consider the road section model, road network model and intersection model; ) attributes, path selection, etc.; 3) The multi-layered network is not considered. The real urban road network is a multi-layered complex network, and the existing network structure does not reflect this characteristic.

Images