Adaptive Freeway Ramp Metering and Variable Speed Limit Control: A Genetic-Fuzzy Approach

被引：25

作者：

Ghods, Amir Hosein ^{[1
]}

Kian, Ashkan Rahimi ^{[2
]}

Tabibi, Masoud ^{[3
]}

机构：

[1] Univ Waterloo, Dept Civil & Environm Engn, Transportat Syst Res Grp, Waterloo, ON N2L 3G1, Canada

[2] Univ Tehran, Coll Engn, Sch Elect & Comp Engn, Control & Intelligent Proc Ctr Excellence, Tehran 14174, Iran

[3] Minist Transportat, Natl Rd Management Ctr, Tehran, Iran

来源：

IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE | 2009年 / 1卷 / 01期

关键词：

Ramp metering; variable speed limit control; fuzzy control; genetic algorithm;

D O I：

10.1109/MITS.2009.932718

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper deals with the problem of ramp metering along with speed limit control of the freeway networks in order to reduce the peak hour congestion. An adaptive fuzzy control is proposed to solve the problem. To calibrate the fuzzy controller, genetic algorithm is used to tune the fuzzy sets parameters so that the total time spent in the network remains minimum. A macroscopic traffic model is used for tuning the controller in an adaptive scheme and for presenting the simulation results. The proposed method is tested in a stretch of a freeway network. To evaluate the efficiency of the method, the test results are examined and compared with traditional ALINEA controller and genetic-fuzzy ramp metering only case. The paper concludes that the proposed adaptive genetic- fuzzy control is expected to enhance the performance of the freeway traffic network control while keeping the computational simplicity of the problem.

引用

页码：27 / 36

页数：10

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