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Traffic network congestion control method and system based on ant colony cross-feeding strategy

A technology for traffic congestion and traffic, applied in the intersection of traffic science and network science, can solve problems such as less technology, and achieve the effect of alleviating congestion problems

Active Publication Date: 2021-12-03
BEIHANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, there are relatively few related technologies

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  • Traffic network congestion control method and system based on ant colony cross-feeding strategy
  • Traffic network congestion control method and system based on ant colony cross-feeding strategy
  • Traffic network congestion control method and system based on ant colony cross-feeding strategy

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Embodiment 1

[0039] Due to the extremely high complexity of the urban traffic road network, it is a complex network giant system with heterogeneity, emergence, and nonlinearity. The coupling of road categories and the extremely large number of urban roads make it extremely difficult to solve the problem of urban traffic network congestion regulation. For the congestion control of urban traffic networks, the existing research mainly focuses on new traffic control lights, flow monitoring equipment, new rationalized timing schemes, or some kind of congestion identification method, and rarely involves the top level of urban traffic network congestion control. Smart strategy design. Therefore, this embodiment provides an intelligent and efficient control method for urban traffic network congestion evacuation, that is, a traffic network congestion control method based on an ant colony feeding strategy, please refer to figure 1 ,Proceed as follows:

[0040] Step 100: According to the traffic ro...

Embodiment 2

[0096] In order to achieve the above purpose, this embodiment also provides a traffic network congestion control system based on an ant colony breeding strategy, please refer to figure 2 ,include:

[0097] The road network complex network model building module 200 is used to construct a road network complex network model corresponding to the research city according to the traffic road network structure topology parameters of the research city; the road network complex network model includes network nodes and network edges.

[0098] The traffic road network congestion propagation simulation framework building module 201 is used to determine the road section related information corresponding to the research city, and build the research section based on the road section related information, the LTM traffic flow propagation model and the road network complex network model. The traffic network congestion propagation simulation framework corresponding to the city; the road section ...

Embodiment 3

[0120] This embodiment takes a complex road network of a lattice virtual city composed of square grids as an example to illustrate the technical solutions and methods provided by the present invention. Specifically, the city’s complex road network contains 10,000 nodes, and each node is connected to four road sections except for edge nodes. Due to the complexity and emergence of the road network structure and the uncertainty of traffic demand in the road network , it is necessary to evacuate the existing congestion, and try to prevent possible new congestion nodes, so as to reduce congestion, improve the efficiency of urban road network operation, and maintain the stable and healthy operation of the urban traffic system.

[0121] A traffic network congestion control method based on an ant colony feeding strategy provided in this embodiment includes:

[0122] Step A: Construct a complex network model of the road network according to the topological parameters of the urban traff...

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Abstract

The invention provides a traffic network congestion control method and system based on an ant colony feeding strategy, which relates to the interdisciplinary technical field of traffic science and network science, and considers the heterogeneity, emergence, nonlinearity, multiple Coupling and other complex characteristics, the present invention is based on the complex network, using the classic LTM traffic flow model to simulate the urban traffic road network to build a complex network traffic flow propagation simulation framework suitable for the urban traffic road network congestion propagation law, and then in the complex On the network traffic flow propagation simulation framework, an intelligent control model of traffic congestion based on the inspiration of ant colony cross-breeding-feeding behavior is constructed, so that the extremely complex overall regulation of the macroscopic road network can be decomposed into thousands of tiny node control units. Local control issues, effectively alleviate the urban traffic road network congestion problem from the top-level strategy design level.

Description

technical field [0001] The invention relates to the interdisciplinary technical field of traffic science and network science, in particular to a traffic network congestion control method and system based on an ant colony feeding strategy. Background technique [0002] During the rapid development of various undertakings, urban traffic has undergone unprecedented changes. Although new plans for urban transportation have been introduced one after another, new problems in actual urban transportation are also emerging one after another, which is always a process of constant conflict and coordination between early planning and later governance. At present, the problems in urban transportation are extremely serious. Once they are not properly and effectively resolved or managed, they will extremely threaten the stable and sustainable development of the economy. Among them, due to the serious shortage of urban road capacity and the excessive growth rate of urban car ownership, tra...

Claims

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Application Information

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IPC IPC(8): G08G1/01G06N3/00
CPCG06N3/006G08G1/0125G08G1/0145
Inventor 李大庆赵稀
Owner BEIHANG UNIV
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