Dynamic division method for control subarea based on C-mean fuzzy clustering analysis

A technology of fuzzy cluster analysis and controller, which is applied in the traffic control system of road vehicles, traffic control system, traffic signal control, etc., and can solve problems such as rarely considering the dynamic characteristics of traffic flow

Inactive Publication Date: 2014-03-26
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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  • Claims
  • Application Information

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Problems solved by technology

The division method is mainly a qualitative division method, and the division is mainly based on the physi

Method used

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  • Dynamic division method for control subarea based on C-mean fuzzy clustering analysis
  • Dynamic division method for control subarea based on C-mean fuzzy clustering analysis
  • Dynamic division method for control subarea based on C-mean fuzzy clustering analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] (1) Control the selection of sub-division indicators.

[0044] The subdivision indicators mainly include:

[0045] 1) Distance indicator

[0046] In a control sub-area, all intersections are adjacent, and the distance should be within a certain range. If the distance exceeds a certain range, the traffic flow leaving the upstream intersection will gradually become discrete as the driving distance increases, and it will be in a random state when it arrives at the downstream intersection, which will affect the effect of coordinated control. Generally, the range L<600m of coordinated control of intersections.

[0047] 2) Periodic indicators

[0048] The signal cycle is a comprehensive reflection of the traffic flow characteristics. The similar signal cycle indicates that the traffic flow characteristics of adjacent intersections are similar to a certain extent, so the signal cycle is an important index for sub-area division. The intersections in the control sub-area all...

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PUM

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Abstract

The invention discloses a dynamic subarea division method based on C-mean fuzzy clustering analysis, wherein the method is used for area signal coordinated control. The method comprises that a control subarea division index system is constructed from the aspects of crossing distance, signal control period, traffic flow continuity and traffic flow discreteness; and a control subarea is divided at two levels, wherein at the first level, crossings of the subarea are selected initially to eliminate crossings whose period and distance are long; and at the second level, related indexes, which include static indexes related to distance and dynamic indexes such as the signal period, the traffic flow discreteness and the traffic flow continuity, of each crossing are calculated, and crossings are clustered in real time based on the C-mean fuzzy clustering analysis. The method divides the control subarea in real time based on the C-mean fuzzy clustering analysis, is not limited by the number and types of indexes of the subarea, and meets requirements of real-time traffic control.

Description

technical field [0001] The invention relates to a method for coordinated control of an intersection, in particular to a method for dynamically dividing control sub-areas based on C-mean fuzzy clustering analysis. Background technique [0002] Regional coordinated control is an important measure to alleviate urban traffic problems, and the division of control sub-areas is the basis for regional coordinated control, and its division accuracy affects the overall control benefit. [0003] The control sub-area refers to: a large-area road network, when regional control is implemented, the control area is divided into several control sub-areas according to the traffic characteristics of different areas, and each sub-area adopts different control strategies and different control schemes. These relatively independent sub-areas are control sub-areas. The division of control sub-areas extends traffic control from point to line and area, organizes and optimizes traffic flow from a wid...

Claims

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Application Information

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IPC IPC(8): G08G1/08G08G1/081
Inventor 王正武张平
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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