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Anti-congestion method based on two-layer traffic network model

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: 2021-06-25
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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  • Anti-congestion method based on two-layer traffic network model
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  • Anti-congestion method based on two-layer traffic network model

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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 anti-congestion method, which can comprehensively describe the coupling dynamic characteristics of the actual traffic network, and can alleviate the phenomenon of urban traffic congestion to a large extent. The invention models and demonstrates the traffic network congestion phenomenon based on the double-layer network framework and the UE distribution mathematical model. On the one hand, the degree of traffic network congestion is reflected by the congestion coefficient; on the other hand, the efficiency of the traffic network is reflected by the average cost function. Empirical data simulation shows that the speed ratio of the upper and lower layers of the double-layer traffic network is closely related to the coupling coefficient. Under the actual speed ratio, the present invention reduces the average congestion coefficient by 14.28% compared with the prior art, and effectively improves the traffic network. Anti-congestion capability.

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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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/30
CPCG06Q10/047G06Q50/30
Inventor 韩定定白玉余艳泽
Owner FUDAN UNIV
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