Volume 12 Issue 3
. 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Traffic and Transportation Engineering  > 2012  >  12(3): 108-112
Next Previous
LIU Qin, XU Jian-min. Coordinated control model of regional traffic signals[J]. Journal of Traffic and Transportation Engineering, 2012, 12(3): 108-112. doi: 10.19818/j.cnki.1671-1637.2012.03.016
Citation: LIU Qin, XU Jian-min. Coordinated control model of regional traffic signals[J]. Journal of Traffic and Transportation Engineering, 2012, 12(3): 108-112. doi: 10.19818/j.cnki.1671-1637.2012.03.016
shu

Coordinated control model of regional traffic signals

doi: 10.19818/j.cnki.1671-1637.2012.03.016
  • 1.

    School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, Guangdong, China

  • 2.

    School of Mechanical and Electrical Engineering, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, Guangdong, China

More Information
  • Author Bio:

    LIU Qin (1981-), female, lecturer, doctoral student, +86-20-89003185, liuqin_901@63.com

    XU Jian-min (1960-), male, professor, PhD, +86-20-87114469, aujmxu@scut.edu.cn

  • Received Date: 2012-01-06
  • Publish Date: 2012-06-25
    Abstract
  • In order to improve the traffic efficiency of traffic area, a coordinated control model of regional signals was constructed under all kinds of traffic conditions.The total queue vehicle number and the total output vehicle number of regional intersection were used as performance indexes of the model.The constraint conditions of the model were established by considering the variable relationship of the adjacent cycle queue vehicle numbers, closed phase difference of intersections and effective green time.The effective green time and waiting vehicle number were initialized by particle swarm algorithm.The effective green time was solved by simulated annealing algorithm.The road network of a certain intersection was simulated under different traffic states.Simulation result shows that the queue vehicle number reduces by 5.3% and the total output vehicle number of region increases by 5.5% in low peak period compared with the TRANSYT model.The queue vehicle number reduces by 17.9% and the total output vehicle number of region increases by 33.4% in peak period compared with the TRANSYT model.The signal optimizing scheme of a regional intersection shows that the lane saturations averagely reduce by 1.8% and the queue vehicle number averagely decrease by 2.9% comparing with the TRANSYT model.It's proved that the model is effective in all kinds of traffic conditions, especially in peak period, its control effect is better than the TRANSYT model.

     

    • FullText(HTML)
  • loading
    • References(11)
  • [1]
    ABOUDOLAS K, PAPAGEORGIOU M, KOUVELAS A, et al. A rolling-horizon quadratic-programming approach to the signal control problem in large-scale congested urban road networks[J]. Transportation Research Part C: Emerging Technologies, 2010, 18(5): 680-694. doi: 10.1016/j.trc.2009.06.003
    [2]
    ABOUDOLAS K, PAPAGEORGIOU M, KOSMATOPOU-LOS E. Store-and-forward based methods for the signal control problem in large-scale congested urban road networks[J]. Transportation Research Part C: Emerging Technologies, 2009, 17(2): 163-174. doi: 10.1016/j.trc.2008.10.002
    [3]
    GIRIANNA M, BENEKOHAL R F. Using genetic algorithms to design signal coordination for oversaturated networks[J]. Intelligent Transportation System, 2004, 8(2): 117-129. doi: 10.1080/15472450490435340
    [4]
    LI Shui-you, LIU Zhi-yong. D-S evidence theory based adap-tive control method for urban traffic network signal[J]. Control Theory and Applications, 2005, 22(1): 157-160. (in Chinese). doi: 10.3969/j.issn.1000-8152.2005.01.032
    [5]
    ZHANG Hui, YANG Yu-zhen, LI Zhen-long, et al. Urban traffic coordination control based on distributed Q-learning[J]. Journal of Wuhan University of Technology: Transportation Science and Engineering, 2007, 31(6): 1121-1124. (in Chinese). doi: 10.3963/j.issn.2095-3844.2007.06.047
    [6]
    LEI Lei, WU Yang, LIU Yu-gang. System modeling and optimization model of oversaturated intersection group[J]. Computer Engineering and Applications, 2010, 46(4): 26-28. (in Chinese). doi: 10.3778/j.issn.1002-8331.2010.04.008
    [7]
    LI Yan, GUO Xiu-cheng, YANG Jie, et al. Mechanism analy-sis and implementation framework for traffic signal control of over-saturated intersection group[J]. Journal of Transporta-tion Systems Engineering and Information Technology, 2011, 11(4): 28-34. (in Chinese). doi: 10.3969/j.issn.1009-6744.2011.04.005
    [8]
    LIU Zhi-yong, LI Shui-you. Immunity genetic algorithms based adaptive control method for urban traffic network signal[J]. Control Theory and Applications, 2006, 23(1): 119-125. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-KZLY200601024.htm
    [9]
    XU Jian-min, SHOU Yan-fang, LU Kai. Area coordinated control of traffic signals based on bi-level programming model[J]. Journal of South China University of Technology: Natural Science Edition, 2011, 39(3): 95-100, 106. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-HNLG201103021.htm
    [10]
    EBERHART R C, SHI Y H. Particle swarm optimization: developments, applications and resources[C]∥IEEE. Proceedings of the 2001Congress on Evolutionary Computation. Seoul: IEEE, 2001: 81-86.
    [11]
    ZHANG Lan, LEI Xiu-juan, MA Qian-zhi. Multi-cross signal timing based on particle swarm optimization algorithm[J]. Application Research of Computers, 2010, 27(4): 1252-1254, 1292. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JSYJ201004012.htm
    • Relative Articles
    • Supplements(0)
    • Cited By

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (990) PDF downloads(1131) Cited by()
    Related

    Copyright《Journal of Traffic and Transportation Engineering》编辑部陕ICP备05001904号-1

    Address ：Editorial Department of Journal of Traffic and Transportation Engineering, Chang 'an University, Middle Section of South Second Ring Road, Xi 'an, Shaanxi（710064） Tel：029-82334388 Email：jygc@chd.edu.cn

    All visit:Today's visit:

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return