Double-layer traffic network model-based anti-congestion method

Abstract

The invention discloses a double-layer traffic network model-based anti-congestion method. The method can describe a coupling dynamic characteristic of a real traffic network comprehensively, and canrelieve urban traffic congestion to a large extent. Based on a double-layer network framework and a UE flow mathematical model, the method builds a model for traffic network congestion and demonstrates traffic network congestion. On the one hand, the traffic network congestion degree is reflected through congestion coefficients; and on the other hand, the traffic network efficiency is reflected through an average cost function. Empirical data simulation proves that speed ratio of the upper and lower networks of the double-layer traffic network is closely rated to coupling coefficients. Under actual speed ratio, the congestion coefficient of the method is reduced by 14.28% compared with average congestion coefficient of the prior art, so that the anti-congestion performance of the traffic network is improved effectively.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, and is a method for alleviating passenger travel congestion in a traffic network. It establishes a flow distribution model and a traffic congestion evaluation model for the traffic network through the idea of ​​a double-layer network. On the one hand, it reveals a double-layer traffic network under different topological structures. It provides theoretical guidance for optimizing the design of urban road networks; on the other hand, it contributes to the improvement of actual traffic efficiency. Background technique [0002] Transportation has become an indispensable part of people's daily life. On the one hand, the emergence of transportation has accelerated social and economic development; posed certain difficulties. In recent years, due to the complexity of urban traffic network structure and the diversity of urban traffic travel modes, Ding Qianxing, Yan Ling, Yan Min. The ...

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Problems solved by technology

In recent years, due to the complexity of urban traffic network structure and the diversity of urban traffic travel modes, Ding Qianxing, Yan Ling, Yan Min. The Research of the Key Issues of Innovation Based on BT Transaction Mode in Urban Rail. Intelligent Transportation, Big Data and Smart City (ICITBS). 2016: 914-917, the influence of many factors such as the unknown traffic flow has caused certain difficulties in the study of multi-mode urban traffic, Albert Solé-Ribalta, Sergio Gómez, Alex Arenas. A model to identify urban traffic Congestion hotspots in complex networks, R Soc Open Sci.2016,3(10):160098. At the same time, it also creates certain obstacles to the study of urban traffic network congestion

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