Abstract
Based on the floating vehicle data, this paper analyzes the equilibrium of urban road network traffic flow. This can guide traffic flow distribution and provide reliable basis for traffic control. This paper starts with the quantitative analysis of the traffic network equilibrium, on the basis of verifying the validity of the floating car data, divides the urban road network into regions, and constructs an analysis model of the traffic flow equilibrium of the urban road network. The urban road traffic distribution model is constructed in accordance with the number of road traffic segments. On this basis, gini coefficient index is introduced to judge the road network flow balance, which is used to analyze the balance of each sub-region. By means of traffic guidance, signal control and other traffic control means, the traffic flow in each sub-area is balanced, and the traffic flow in the whole road network becomes balanced.
Highlights
How to improve the use of the road network under present conditions has become the focus of urban traffic research
In order to distribute the traffic demand on the road network to the traffic network according to certain routing principles, it is necessary to use the floating car data to analyze the traffic flow balance of the road network according to the actual traffic conditions
Walinchus in the United States first proposed the concept of traffic control sub-areas in the road network in 1971, dividing a complex and huge road network into several independent sub-areas according to certain principles and indicators
Summary
How to improve the use of the road network under present conditions has become the focus of urban traffic research. People began to discuss and study the solution method of the equilibrium model proposed by Beckmann et al In 1975, scholars such as LeBlanc used the Frank-Wolfe algorithm in nonlinear programming to obtain the solution steps and methods, and formed a reliable transportation network equilibrium model These models and algorithms provided the basis for further research into the development of network traffic flow theory. Considering the route choice of travelers and the size of traffic flow, a balanced analysis model of each traffic subarea based on the Gini coefficient is established, which can guide the flow of traffic from a relatively unbalanced area to a more balanced area, Making full use of road resources can provide a reliable basis for traffic distribution
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