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Road traffic capacity evaluation method based on cusp-catastrophe and quantum-behaved particle swarm optimization

A technology of road traffic capacity and quantum particle swarms, which is applied in the field of computer science, can solve the problems of high demand for traffic comprehensive data and the inability to describe traffic data faults, etc., and achieve the effect of improving accuracy and work efficiency

Active Publication Date: 2018-07-24
HUAZHONG NORMAL UNIV
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Problems solved by technology

[0008] Aiming at the problems of high traffic comprehensive data demand and inability to describe traffic data faults in the existing road evaluation methods, the present invention provides a road capacity evaluation method based on cusp catastrophe theory and quantum particle swarm optimization algorithm. On the one hand, it can Reduce the demand for traffic comprehensive data, on the other hand, it can describe the sudden change characteristics of traffic flow, effectively improving the accuracy and work efficiency of evaluating roads

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  • Road traffic capacity evaluation method based on cusp-catastrophe and quantum-behaved particle swarm optimization
  • Road traffic capacity evaluation method based on cusp-catastrophe and quantum-behaved particle swarm optimization
  • Road traffic capacity evaluation method based on cusp-catastrophe and quantum-behaved particle swarm optimization

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[0043] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0044] This embodiment is based on the road evaluation method based on cusp catastrophe theory and quantum particle swarm optimization algorithm. Aiming at the existing problems of analyzing traffic data, a new road evaluation method is proposed. On the one hand, it can reduce the demand for comprehensive traffic data. On the other hand, it can describe the sudden change characteristics of traffic flow. Specifically, this embodiment aims at the problem that the existing road evaluation method has a high demand for comprehensive traffic data and cannot describ...

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Abstract

The invention discloses a road traffic capacity evaluation method based on cusp-catastrophe and quantum-behaved particle swarm optimization. The method comprises the following steps: establishing a catastrophic model by taking a vehicle speed of a traffic flow as a state variable and taking traffic and lane time occupancy as a control variable, determining model parameters by using partial time period data of the traffic flow, and obtaining the minimum velocity capable of maintaining a clear state on the selected road section by virtue of the determined model, thereby completing road evaluation. According to the method disclosed by the invention, the road evaluation accuracy and working efficiency can be effectively improved.

Description

technical field [0001] The invention belongs to the technical field of computer science and relates to a method for evaluating road traffic capacity, in particular to a method for evaluating road traffic capacity based on cusp catastrophe theory and quantum particle swarm optimization algorithm. Background technique [0002] With the progress of the society and the development of the economy, the traffic demand expands rapidly. At present, the number of automobiles in my country has reached 200 million, but it is still a young automobile consumer market, and there is a huge room for growth in the number of vehicles. In the process of vehicle travel, the traffic demand at the transportation hub in the city is particularly concentrated. Due to the limited road resources, the phenomenon of insufficient traffic congestion has increased sharply, resulting in slow traffic, stagnation or even congestion. Urban traffic is the foundation of urban economic construction. At present, t...

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Application Information

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IPC IPC(8): G08G1/01G06Q10/06G06Q50/30G06N3/00
CPCG06N3/006G06Q10/0639G08G1/0125G06Q50/40
Inventor 胡征兵胡岑诺蒋玲杨琳胡志轩张新晨
Owner HUAZHONG NORMAL UNIV
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