[1]CHEN Jian,CHEN Jian,SHAO Yiming,et al.Collaborative optimization model for oversaturated multiple intersections based on the rough set theory[J].CAAI Transactions on Intelligent Systems,2015,10(5):783-789.[doi:10.11992/tis.201406045]
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Collaborative optimization model for oversaturated multiple intersections based on the rough set theory

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 10 Number of periods: 2015 5 Page number: 783-789 Column: 学术论文—知识工程 Public date: 2015-10-25
Title:
Collaborative optimization model for oversaturated multiple intersections based on the rough set theory
Author(s):
CHEN Jian1; 2;  CHEN Jian3;  SHAO Yiming1; 2;  DENG Tianmin1; 2
1. Chongqing Key Lab of Traffic System & Safety in Mountain Cities, Chongqing Jiaotong University, Chongqing 400074, China;
2. School of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China;
3. China Railway Eryuan Engineering Group Co., Ltd, Chengdu 610031, China
Keywords:
traffic engineering; traffic control; multiple intersections; oversaturated; rough set theory; decision rule
CLC:
U491.54
DOI:
10.11992/tis.201406045
Abstract:
To solve the defect that the existing fuzzy intelligent control method is only suitable for a single intersection under unsaturated state, and to meet the need of coordination control of regional traffic for oversaturated multiple intersections, an optimization control strategy for main channel at peak time was proposed. The fuzzy control model with multiple decision attributes was established on the basis of knowledge reasoning in rough sets theory. It took multiple intersections state information as condition attributes, and the elongation mode, phase, and green light timing, as decision attributes. The methods of attribute reduction of the discernibility matrix and the frequency of attribute were used in the model, then some decision rules were extracted. The results show that the efficiency of regional traffic was improved via 3-8 more seconds of green light signal at the main channel. In addition, the extension time is not only related to the maximum queue length of vehicles under oversaturated vehicle conditions, but also the extension mode and phase of green light, which is consistent with the experience of traffic police.
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