2.845

2023影响因子

(CJCR)

  • 中文核心
  • EI
  • 中国科技核心
  • Scopus
  • CSCD
  • 英国科学文摘

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

时变论域下红绿灯配时的语言动力学分析

莫红 郝学新

莫红, 郝学新. 时变论域下红绿灯配时的语言动力学分析. 自动化学报, 2017, 43(12): 2202-2212. doi: 10.16383/j.aas.2017.c160406
引用本文: 莫红, 郝学新. 时变论域下红绿灯配时的语言动力学分析. 自动化学报, 2017, 43(12): 2202-2212. doi: 10.16383/j.aas.2017.c160406
MO Hong, HAO Xue-Xin. Linguistic Dynamic Analysis of Traffic Light Timing Design within the Time-varying Universe. ACTA AUTOMATICA SINICA, 2017, 43(12): 2202-2212. doi: 10.16383/j.aas.2017.c160406
Citation: MO Hong, HAO Xue-Xin. Linguistic Dynamic Analysis of Traffic Light Timing Design within the Time-varying Universe. ACTA AUTOMATICA SINICA, 2017, 43(12): 2202-2212. doi: 10.16383/j.aas.2017.c160406

时变论域下红绿灯配时的语言动力学分析

doi: 10.16383/j.aas.2017.c160406
基金项目: 

国家自然科学基金 61233008

国家自然科学基金 61074093

国家自然科学基金 61473048

详细信息
    作者简介:

    郝学新 长沙理工大学电气与信息工程学院研究生.主要研究方向为语言动力系统与智能交通系统.E-mail:mohong198@163.com

    通讯作者:

    莫红 长沙理工大学电气与信息工程学院教授.2004年获得中国科学院研究生院工学博士学位.主要研究方向为语言动力系统与智能计算.本文通信作者.E-mail:mohong198@163.com

Linguistic Dynamic Analysis of Traffic Light Timing Design within the Time-varying Universe

Funds: 

National Natural Science Foundation of China 61233008

National Natural Science Foundation of China 61074093

National Natural Science Foundation of China 61473048

More Information
    Author Bio:

    Master student at the School of Electric and Information Engineering, Changsha University of Science and Technology. His research interest covers linguistic dynamic systems and intelligent transportation systems

    Corresponding author: MO Hong Professor at the School of Electric and Information Engineering, Changsha University of Science and Technology. She received her Ph. D. degree from Chinese Academy of Sciences in 2004. Her research interest covers linguistic dynamic systems and intelligent computing. Corresponding author of this paper
  • 摘要: 城市道路不同时刻的车流量变化很大,建立与车流量变化相适应的红绿灯动态配时模型有利于缓解交通拥堵,减少出行者的等待时间.本文通过综合时变论域、平行控制理论、语言动力系统(Linguistic dynamic system,LDS),提出了一种新的红绿灯控制方法.该方法以红绿灯不同时刻周期时长所形成的序列为时变论域,由各相位的排队长度确定对应的通行序列与时长,得到时变论域下红绿灯配时方案.该方案形成一个由实时车流数据驱动的动态模糊规则库来对红绿灯配时周期及相位通行序列与时长进行动态调整,进而形成红绿灯配时演化过程的语言动力学轨迹,最后通过实例验证该方案的有效性.
    1)  本文责任编委 徐昕
  • 图  1  红绿灯系统结构

    Fig.  1  Architecture of traffic light timing system

    图  2  数据处理流程

    Fig.  2  Data processing procedure

    图  3  路口相位设置

    Fig.  3  Traffic light

    图  4  T型路口示意图

    Fig.  4  The intersection under study

    图  5  工作日车流量

    Fig.  5  Traffic flow of workdays

    图  6  双休日车流量

    Fig.  6  Traffic flow of weekends

    图  7  工作日与双休日车流量对比

    Fig.  7  Comparison of traffic flow between workdays and weekends

    图  8  输入、输出模糊集合

    Fig.  8  fuzzy sets of input and output

    图  9  算法流程图

    Fig.  9  Flow chart of the algorithm

    表  1  交叉路口相关设定

    Table  1  Related notations

    红绿灯编号 受控车道 通行方向
    $TL_1$ $Road A$_2、3、4 北向南直行
    $TL_2$ $Road A$_1 北向南左转
    $TL_3$ $Road B_5$、6、7 南向北直行
    $TL_4$ $Road C_9$ 西向东左转
    下载: 导出CSV
  • [1] Zhou J, Chen C L Philip, Chen L, Zhao W. A user-customizable urban traffic information collection method based on wireless sensor networks. IEEE Transactions on Intelligent Transportation Systems, 2013, 14(3):1119-1128 doi: 10.1109/TITS.2013.2252902
    [2] Zhou J, Chen C L Philip, Chen L, Li H X. A collaborative fuzzy clustering algorithm in distributed network environments. IEEE Transactions on Fuzzy Systems, 2014, 22(6):1443-1456 doi: 10.1109/TFUZZ.2013.2294205
    [3] Zhang J P, Wang F Y, Wang K F, Lin W H, Xu X, Chen C. Data-driven intelligent transportation systems:a survey. IEEE Transactions on Intelligent Transportation Systems, 2011, 12(4):1624-1639 doi: 10.1109/TITS.2011.2158001
    [4] 翟高寿, 查建中, 鄂明成.集成智能城市交通控制系统体系结构的提出.系统工程理论与实践, 2000, 20(7):80-84 http://d.wanfangdata.com.cn/Thesis/Y392083

    Zhai Gao-Shou, Cha Jian-Zhong, E Ming-Cheng. The architecture of integrated intelligent urban traffic control system. System Engineering-Theory & Practice, 2000, 20(7):80-84 http://d.wanfangdata.com.cn/Thesis/Y392083
    [5] 李盛春, 孔令江, 刘慕仁, 郑容森.智能交通灯对交叉路口交通流的影响.物理学报, 2009, 58(4):2266-2270 doi: 10.7498/aps.58.2266

    Li Sheng-Chun, Kong Ling-Jiang, Liu Mu-Ren, Zheng Rong-Sen. The effects of intelligent traffic light on the crossing traffic flow. Acta Physica Sinica, 2009, 58(4):2266-2270 doi: 10.7498/aps.58.2266
    [6] Pappis C P, Mamdani E H. A fuzzy logic controller for a traffic junction. IEEE Transactions on Systems, Man, and Cybernetics, 1977, 7(10):707-717 doi: 10.1109/TSMC.1977.4309605
    [7] Niittymaki J, Kosonen T, Nevala R. Fuzzy traffic signal control in major arterials. In:Proceedings of the 2001 IEEE Intelligent Transportation Systems. Oakland, CA, USA:IEEE, 2001. 520-531 http://ieeexplore.ieee.org/document/948681/
    [8] Bi Y R, Srinivasan D, Lu X B, Sun Z, Zeng W L. Type-2 fuzzy multi-intersection traffic signal control with differential evolution optimization. Expert Systems with Applications, 2014, 41(16):7338-7349 doi: 10.1016/j.eswa.2014.06.022
    [9] Balaji P G, Srinivasan D. Distributed multi-agent type-2 fuzzy architecture for urban traffic signal control. In:Proceedings of the 2009 IEEE International Conference on Fuzzy Systems. Jeju Island, South Korea:IEEE, 2009. 1627-1632 http://ieeexplore.ieee.org/document/5277360/
    [10] Balaji P, Srinivasan D. Type-2 fuzzy logic based urban traffic management. Engineering Applications of Artificial Intelligence, 2011, 24(1):12-22 doi: 10.1016/j.engappai.2010.08.007
    [11] Collotta M, Bello L L, Pau G. A novel approach for dynamic traffic lights management based on Wireless Sensor Networks and multiple fuzzy logic controllers. Expert Systems with Applications, 2015, 42(13):5403-5415 doi: 10.1016/j.eswa.2015.02.011
    [12] Abbas M K, Karsiti M N, Napiah M, Samir B B, Al-Jemeli M. High accuracy traffic light controller for increasing the given green time utilization. Computers and Electrical Engineering, 2015, 41:40-51 doi: 10.1016/j.compeleceng.2014.12.011
    [13] 陈洪, 陈森发.单路口交通实时模糊控制的一种方法.信息与控制, 1997, 26(3):227-233 http://kns.cnki.net/KCMS/detail/detail.aspx?filename=xxyk703.010&dbname=CJFD&dbcode=CJFQ

    Chen Hong, Chen Sen-Fa. A method for real time traffic fuzzy control of a single intersection. Information and Control, 1997, 26(3):227-233 http://kns.cnki.net/KCMS/detail/detail.aspx?filename=xxyk703.010&dbname=CJFD&dbcode=CJFQ
    [14] Li L, Lv Y S, Wang F Y. Traffic signal timing via deep reinforcement learning. IEEE/CAA Journal of Automatica Sinica, 2016, 3(3):247-254 doi: 10.1109/JAS.2016.7508798
    [15] Li L, Wen D. Parallel Systems for traffic control:a rethinking. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(4):1179-1182 doi: 10.1109/TITS.2015.2494625
    [16] Abdi J, Moshiri B, Abdulhai B, Sedigh A K. Forecasting of short-term traffic-flow based on improved neurofuzzy models via emotional temporal difference learning algorithm. Engineering Applications of Artificial Intelligence, 2012, 25(5):1022-1042 doi: 10.1016/j.engappai.2011.09.011
    [17] Abdi J, Moshiri B, Abdulhai B, Sedigh A K. Short-term traffic flow forecasting:parametric and nonparametric approaches via emotional temporal difference learning. Neural Computing and Applications, 2013, 23(1):141-159 doi: 10.1007/s00521-012-0977-3
    [18] 丛冬栋, 王振家.基于FNNC的城市交通智能红绿灯控制系统.控制工程, 2003, 10(S):14-17 http://www.docin.com/p-1432556349.html

    Cong Dong-Dong, Wang Zhen-Jia. Intelligent traffic light control system of the urban transportation based on FNNC. Control Engineering of China, 2003, 10(S):14-17 http://www.docin.com/p-1432556349.html
    [19] Bretherton D, Bodger M, Cowling J. SCOOT-managing congestion, control and communications. Traffic Engineering & Control, 2006, 47(3):88-92 http://www.nsfc.gov.cn/Portals/0/fj/fj20170118_03.xls
    [20] Wiering M, van Veenen J, Vreeken J, Koopman A. Intelligent Traffic Light Control, UU-CS-2004-029, Institute of Information and Computing Sciences, Utrecht University, Utrecht, Netherlands, 2004.
    [21] Box S, Waterson B. An automated signalized junction controller that learns strategies from a human expert. Engineering Applications of Artificial Intelligence, 2012, 25(1):107-118 doi: 10.1016/j.engappai.2011.09.008
    [22] Box S, Waterson B. An automated signalized junction controller that learns strategies by temporal difference reinforcement learning. Engineering Applications of Artificial Intelligence, 2013, 26(1):652-659 doi: 10.1016/j.engappai.2012.02.013
    [23] 刘脐锺, 李兵.基于改进遗传算法的区域交通信号优化控制.西华大学学报(自然科学版), 2014, 33(6):48-52 doi: 10.3969/j.issn.1673-159X.2014.06.0011

    Liu Qi-Zhong, Li Bing. The optimization control for regional traffic signal based on improved genetic algorithm. Journal of Xihua University (Nature Science), 2014, 33(6):48-52 doi: 10.3969/j.issn.1673-159X.2014.06.0011
    [24] Bingham E. Reinforcement learning in neurofuzzy traffic signal control. European Journal of Operational Research, 2001, 131(2):232-241 doi: 10.1016/S0377-2217(00)00123-5
    [25] 王飞跃.平行控制:数据驱动的计算控制方法.自动化学报, 2013, 39(4):293-302 http://www.aas.net.cn/CN/abstract/abstract17915.shtml

    Wang Fei-Yue. Parallel control:a method for data-driven and computational control. Acta Automatica Sinica, 2013, 39(4):293-302 http://www.aas.net.cn/CN/abstract/abstract17915.shtml
    [26] 王飞跃.平行系统方法与复杂系统的管理和控制.控制与决策, 2004, 19(5):485-489, 514 http://www.cqvip.com/QK/91549X/200405/10335921.html

    Wang Fei-Yue. Parallel system methods for management and control of complex systems. Control and Decision, 2004, 19(5):485-489, 514 http://www.cqvip.com/QK/91549X/200405/10335921.html
    [27] Wang F Y. Parallel control and management for intelligent transportation systems:concepts, architectures, and applications. IEEE Transactions on Intelligent Transportation Systems, 2010, 11(3):630-638 doi: 10.1109/TITS.2010.2060218
    [28] 莫红.时变论域下的语言动力学轨迹.自动化学报, 2012, 38(10):1585-1594 http://www.aas.net.cn/CN/abstract/abstract17767.shtml

    Mo Hong. Linguistic dynamic orbits in the time varying universe of discourse. Acta Automatica Sinica, 2012, 38(10):1585-1594 http://www.aas.net.cn/CN/abstract/abstract17767.shtml
    [29] 王飞跃.词计算和语言动力学系统的基本问题和研究.自动化学报, 2005, 31(6):844-852 http://www.aas.net.cn/CN/abstract/abstract15941.shtml

    Wang Fei-Yue. Fundamental issues in research of computing with words and linguistic dynamic system. Acta Automatica Sinica, 2005, 31(6):844-852 http://www.aas.net.cn/CN/abstract/abstract15941.shtml
    [30] Zadeh L A. Fuzzy sets. Information and Control, 1965, 8(3):338-353 doi: 10.1016/S0019-9958(65)90241-X
    [31] 宁滨, 王飞跃, 董海荣, 李润梅, 文丁, 李莉.基于ACP方法的城市轨道交通平行系统体系研究.交通运输系统工程与信息, 2010, 10(6):22-28 http://kns.cnki.net/KCMS/detail/detail.aspx?filename=ysxt201006002&dbname=CJFD&dbcode=CJFQ

    Ning Bin, Wang Fei-Yue, Dong Hai-Rong, Li Run-Mei, Wen Ding, Li Li. Parallel systems for urban rail transportation based on ACP approach. Journal of Transportation Systems Engineering and Information Technology, 2010, 10(6):22-28 http://kns.cnki.net/KCMS/detail/detail.aspx?filename=ysxt201006002&dbname=CJFD&dbcode=CJFQ
  • 加载中
图(9) / 表(1)
计量
  • 文章访问数:  2122
  • HTML全文浏览量:  246
  • PDF下载量:  876
  • 被引次数: 0
出版历程
  • 收稿日期:  2016-05-18
  • 录用日期:  2017-06-22
  • 刊出日期:  2017-12-20

目录

    /

    返回文章
    返回