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

A traffic network and bus network technology, applied in data processing applications, forecasting, instruments, etc., can solve problems such as the difficulty of studying urban traffic multi-mode situations, urban traffic network congestion obstacles, etc.

Active Publication Date: 2018-10-12
FUDAN UNIV
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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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Embodiment

[0137] The present invention considers that the upper layer network is a low-speed network, that is, the operating speed is relatively slow and dense; the lower layer network is a high-speed network, and the operating speed is relatively fast and sparse. Considering the actual situation, passengers will choose the shortest route to take the bus during the travel process. In addition, they will try to avoid fewer transfers. Transfers refer to jumps between corresponding nodes in the upper and lower layers of the network. Therefore, assuming that the number of transfers of passengers No more than 2 (ie n≤2). Generally speaking, in real life, the number of bus stops is more than that of subway stations, that is, N A ≥N B , using the random coupling method to realize the coupling of the upper and lower layers of the network: for each node in network B, randomly select a node from network A, if there is no edge between these two points, connect them. Repeat this process until all...

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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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Application Information

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IPC IPC(8): G06Q10/04G06Q50/30
CPCG06Q10/047G06Q50/40
Inventor 韩定定白玉余艳泽
Owner FUDAN UNIV
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