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浙江大学学报(工学版)
土木工程     
基于状态可控性分析的交叉口信号切换控制
王力,张立立,潘科,李正熙
北方工业大学 城市道路交通智能控制技术北京重点实验室,北京 100144
Traffic signal switching control approach based on state control ability analysis
WANG Li,ZHANG Li li,PAN Ke,LI Zheng xi
Intelligent Transportation Key Laboratory, North China University of Technology, Beijing 100144, China
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摘要:

针对目前交叉口的交通状态不能完全反映信号控制情况的问题,提出采用可控性的概念对交叉口的控制状态进行判定.通过定义通过率和阻塞率的综合作用结果,能够利用排队长度界定交叉口是否可控,采用交通波理论对剩余排队进行分析量化可控状态,以可控状态为判断条件建立交叉口信号切换控制模型.在“可控状态”下利用清空策略对交叉口进行控制,在“不可控状态”下将交叉口总排队最小设为目标函数,采用遗传算法求解策略对交叉口进行控制,给出不同控制状态下的控制策略.对实际路口进行仿真验证.结果显示,利用所提方法可以快速对交叉口交通状态进行判定,针对各种状态选择适合的控制策略,保证了交叉口的控制效果,证明了该方法的可行性和有效性.

Abstract:

Judging the traffic condition of intersection using the concept of “controllability” was proposed aiming at the problem of existing methods that judge traffic states can't fully reflect the traffic condition of the intersection. The length of the queue can be utilized by blocking rate defined by the rate and the result of the combined effect in order to define if intersection can be controlled. The traffic wave theory analysis was conducted to quantify the remaining queue for controllable state.  The switching control model of intersection was established by using the controllable state as the judgment condition. In the “controllable state”, the policy was used to take advantage of empty intersection control. In the “uncontrollable state”, the intersection minimum objective function was set by using genetic algorithm strategy intersection control. Control strategy under different control state was given. A real network was selected to conduct a simulation. Results show that using the proposed method of intersection traffic state can quickly be determined. The appropriate control strategy was selected for a variety of state. Then the control effect of the intersection was ensured. The feasibility and effectiveness of the proposed method were proved.

出版日期: 2016-07-23
:  U 491  
基金资助:

国家自然科学基金资助项目(51308005);科研基地建设-首都世界城市顺畅交通协同创新中心-参与单位(2011协同)(市级)资助项目(PXM2014_014212_000020);学科建设-国家特殊需求-城市道路交通智能控制人才培养资助项目(PXM2014_014212_000053);研究生培养-研究生教育产学研联合培养研究生基地(市级)资助项目(PXM2014_014212_000032).

作者简介: 王力(1978-),男,副教授,从事智能交通信号控制系统、交通大数据分析的研究.ORCID:0000-0001-6718-0737. E-mail:wangli939@ncut.edu.cn
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引用本文:

王力,张立立,潘科,李正熙. 基于状态可控性分析的交叉口信号切换控制[J]. 浙江大学学报(工学版), 10.3785/j.issn.1008-973X.2016.07.007.

WANG Li,ZHANG Li li,PAN Ke,LI Zheng xi. Traffic signal switching control approach based on state control ability analysis. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 10.3785/j.issn.1008-973X.2016.07.007.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2016.07.007        http://www.zjujournals.com/eng/CN/Y2016/V50/I7/1266

[1]付俊. 非线性级联系统的鲁棒不变切换控制[D]. 沈阳:东北大学,2004.
FU Jun. Robust invariance switching control for nonlinear cascade systems [D]. Shenyang: Northeastern University, 2004.
[2]方志明. 切换系统稳定性分析与优化控制若干问题研究[D]. 南京:南京理工大学,2012.
FANG Zhiming. Study on several problems of stability and optimal control of switched systems [D]. Nanjing: Nanjing University of Science and Technology, 2012.
[3]赵晓华,李振龙,于泉,等. 基于切换模型的两交叉口信号灯Q学习协调控制[J]. 北京工业大学学报,2007, 33(11): 1148-1152.
ZHAO Xiao hua, LI Zhen long, YU Quan, et al. Based on switching model cooperative control for two intersection applying Q-learing [J]. Journal of Beijing University of Technology, 2007, 33(11): 1148-1152.
[4]赵晓华, 陈阳舟. 基于混杂系统理论的单交叉口信号灯控制[J]. 北京工业大学学报, 2004, 30(4): 412-416.
ZHAO Xiao hua, CHEN Yang zhou. Traffic light control method for a single intersection based on hybrid systems theory [J]. Journal of Beijing University of Technology, 2004, 30(4): 412-416.
[5]何忠贺,陈阳舟,石建军. 切换服务系统的稳定性及交叉口信号配时[J]. 控制理论与应用,2013, 30(2): 194-200.
HE Zhonghe, CHEN Yangzhou, SHI Jianjun. Stability of switched server system and signal timing of intersection [J]. Control Theory and Applications, 2013, 30(2): 194-200.
[6]何忠贺. 切换服务网络的稳定性及交通信号控制应用[D]. 北京:北京工业大学,2013.
HE Zhonghe. Stability of switched server network and ITS application in traffic signal control [D]. Beijing: Beijing University of Technology, 2013.
[7]HE Zhong he, CHEN Yang zhou, SHI Jian jun, et al. Stability of switched server systems with finite buffer capacity[C]∥Control Conference (CCC).[s.l.] IEEE, 2013: 2108-2113.
[8]HE Zhonghe, CHEN Yangzhou, SHI Jianjun, et al. Steadystate control for signalized intersections modeled as switched server system[C]∥American Control Conference (ACC). [s.l.]: IEEE, 2013: 842-847.
[9]HE Zhong he, WANG Li,  ZHANG Li li. Controllability of switched server systems with servicetime and queue constraints on buffers[C]∥Control Conference (CCC).[s.l.]: IEEE, 2015: 140-145.
[10]WANG Li, HE Zhong he, ZHANG Chi, et al. Stability of switched server systems with constraints on service time and capacity of buffers[J]. Mathematical Problems in Engineering, 2015, 2015: 1.
[11]CHEN Yangzhou, ZHANG Yaxiao, HE Zhonghe, et al. Average dwelltime conditions of switching information topologies for consensus of linear multi agent systems[C]∥Control Conference (CCC).[s.l.]. IEEE, 2013: 7115-7120.
[12]CHEN Yangzhou, HE Zhonghe, YU A.  Existence of common lyapunov function based on KKM lemma for switched Persidskiitype systems[C]∥2011 International Conference on Electric Information and Control Engineering (ICEICE). [s.l.]: IEEE, 2011: 371-374.
[13]范立权,陈阳舟,李振龙. 基于混杂模糊切换的快速路区域协调控制[J]. 交通信息与安全,2009, 27(3): 4448.
FAN Liquan, CHEN Yangzhou, LI Zhenlong. Freeway areawide coordinated control based on hybrid system and fuzzy switch [J]. Journal of Transportation Information and Safety, 2009, 27(3): 4448.
[14]向伟铭. 基于切换系统理论的混杂交通系统特性分析[D]. 成都:西南交通大学, 2014.
XIANG Weiming. Characteristic analysis for hybrid transportation system based on switched system theory [D]. Chengdu:Southwest Jiaotong University, 2014.
[15]向伟铭,肖建,蒋阳升. 基于切换系统的过饱和信号交叉口混杂控制[J]. 交通运输系统工程与信息,2014, 14(2): 57-61.
XIANG Weiming, XIAO Jian, JIANG Yangsheng. Hybrid control for oversaturated signalized intersection based on switched system [J]. Journal of Transportation on Systems Engineering and Information Technology, 2014, 14(2): 57-61.
[16]XIANG Weiming,  XIAO Jian. Realtime signalization for an oversaturated intersection via switched system approach[C]∥Control Conference (CCC). [s.l.]:IEEE, 2014: 3350-3355.
[17] XIANG Weiming, XIAO Jian, IQBAL M N. State estimation for shorttime switched linear systems under asynchronous switching [J]. International Journal of Adaptive Control and Signal Processing, 2014, 28(6): 553-561.
[18]祁宏生. 考虑信号控制的路网交通流建模[D]. 长春:吉林大学,2011.
QI Hongsheng. Research on the modelling of network traffic flow considering signal control [D]. Changchun: Jilin University, 2011.
[19]QI Hongsheng, WANG Dianhai, SONG Xianmin. On the critical conditions of traffic jams [J]. Journal of Southeast University (English Edition), 2011, 27(2): 180184.
[20]汪少华,陈龙,孙晓强. 半主动空气悬架多模式切换控制模型的分析[J]. 江苏大学学报:自然科学版,2013, 34(6): 637-642.
WANG Shaohua, CHEN Long, SUN Xiaoqiang. A multimode switching control mode for semiactive air suspension [J]. Journal of Jiangsu University: Natural Science Edition, 2013, 34(6): 637-642.

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