Traffic state discriminated method based on real-time driving direction and transit time quantum information

A technology of driving direction and traffic status, which is applied in traffic flow detection, neural learning methods, biological neural network models, etc., can solve problems such as misjudgment of traffic status, achieve strong practicability, broad application prospects, and realize self-adaptive adjustment Effect

Inactive Publication Date: 2013-05-15
FUZHOU UNIV
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  • Abstract
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Problems solved by technology

[0005] The existing technology does not consider the changes of these external environmental factors, and directly judges the traffic state of the road according to a fixed standard, which often leads to misjudgment of the traffic state

Method used

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  • Traffic state discriminated method based on real-time driving direction and transit time quantum information
  • Traffic state discriminated method based on real-time driving direction and transit time quantum information
  • Traffic state discriminated method based on real-time driving direction and transit time quantum information

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Embodiment Construction

[0029] Before explaining the specific embodiments of the present invention, in order to better allow ordinary technical personnel to understand the effects of the present invention, the technical means adopted in the present invention will be briefly introduced in four points below.

[0030] 1. Traffic status analysis based on driving direction

[0031] Traffic flow is not always balanced in both directions on the same road. Due to the different nature of land use in different locations and the different sections connected by the round-trip lines of urban roads, the traffic flow in the two directions will be quite different. This unbalanced driving direction can be calculated by the direction distribution coefficient express:

[0032] (1)

[0033] Driving direction distribution coefficient The value is generally greater than 50%, and the closer to 50%, the more balanced the traffic volume in the two driving directions is, and the farther away from 50%, the greater the...

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Abstract

The invention relates to the technical field of traffic state discrimination, in particular to a traffic state discriminated method based on a real-time driving direction and transit time quantum information. A traffic state, as an overall indicator of evaluating an urban traffic operation state, is influenced by a plurality of factors. The traffic state discriminated method based on the real-time driving direction and the transit time quantum information puts forward a traffic state discriminated module based on the driving direction and the traffic time quantum, develops traffic state discriminated thought from the existing single mode to various comprehensive discrimination, applies a network theory with a self-adaptation characteristic to the traffic state discrimination, digs out objective data (traffic flow parameter data) rules form subjective factors (feeling of a person for the traffic state) and searches data changes which correspond to the state changes. Due to the adoption of dynamic intervals to distinguish changes of the traffic state, a parameter of the traffic state discriminated module can achieve self-adaptation adjustment, truly achieves correspondingly adjusting a traffic state discriminated threshold value according to traffic flow characters of a section of a road and achieves self-adaptation discrimination of the traffic state.

Description

technical field [0001] The invention relates to the technical field of traffic state discrimination, in particular to a traffic state discrimination method based on real-time driving direction and passing period information. Background technique [0002] The essence of traffic state discrimination is to divide similar states into one category according to the characteristics of traffic flow. Traffic state discrimination can be divided into manual discrimination method and automatic discrimination method. Although the manual identification method is simple, direct, and convenient, it is limited by manpower, and the number of personnel required and the work intensity are relatively large. Therefore, the manual identification method has been gradually replaced by the automatic identification method. [0003] There are many methods for automatic identification of traffic status, for example, California algorithm and McMaster algorithm. The California algorithm mainly judges th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G06N3/08
Inventor 王伟智林信明刘秉瀚
Owner FUZHOU UNIV
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