Simulation Model of Urban Network Traffic Flow Based on Lane Group and Intersection Traffic Flow Path

Abstract

The invention discloses an urban network traffic flow simulation model based on lane groups and intersection traffic flow paths, which includes: based on a macroscopic traffic flow model based on lane groups, the process of turning in traffic flow of lane groups in the model is simplified; and then , aiming at the insufficiency of the macro-traffic flow model of the lane group to describe the simulation of traffic flow overflowing and hindering the traffic operation at the intersection, according to the principle of traffic flow in and out of the lane group, the concept of the traffic flow path in the intersection is proposed, and the traffic flow path in the intersection is used The process of turning in and out of traffic flow simulates all possible traffic conflicts and obstructions in the intersection; finally, a macro simulation model of traffic flow based on lane groups and traffic paths in the intersection is established. The invention overcomes the defects of complex parameter calibration and coefficient calculation of existing models, and provides fast simulation method support for the active prevention and control of urban traffic congestion and the solution of fast dredging problems.

Description

technical field [0001] The invention relates to the field of urban road network traffic control, in particular to an urban network traffic flow simulation model based on lane groups and intersection vehicle flow paths. Background technique [0002] With the continuous expansion of the scale of urban traffic network and the increasing traffic flow, the optimization of traffic control problems not only faces the complexity of time and space, but also faces the pressure of high-dimensional control variables, which makes the traditional theoretical methods for solving traffic problems encounter great difficulties. Challenges, such as fuzzy control, neural network control, Markov optimization decision, Multi-Agent control, etc. In order to consider the impact of traffic flow interaction on the optimization of traffic control problems, and to reduce the complexity of problem modeling variables, with the rapid development of computer technology, the optimization method of traffic c...

AI Technical Summary

Problems solved by technology

Although the above two methods make up for the gap in the original macroscopic traffic flow model in the description of traffic flow obstruction in the intersection, the derivation and calculation process of the obstruction coefficient is too complicated, which is not conducive to the rapid simulation of the model. The description of the process, especially the complex parameter calibration in the calculation process of the obstruction coefficient of the vehicle turning into the lane group, increases the unnecessary workload of model simulation and the randomness of simulation results

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