过饱和状态交通信号控制方法综述

LI Yan; ZHAO Zhi-hong; LI Peng-fei; HUANG Shen-sen; CHEN Kuan-min

doi:10.19818/j.cnki.1671-1637.2013.04.017

过饱和状态交通信号控制方法综述

doi: 10.19818/j.cnki.1671-1637.2013.04.017

李岩^1,,
赵志宏²,
李鹏飞^{3, 4},
黄身森¹,
陈宽民¹

1.
长安大学公路学院, 陕西西安 710064
2.
长安大学信息工程学院, 陕西西安 710064
3.
东南大学交通学院, 江苏南京 210096
4.
阿尔伯塔大学智能交通中心, 阿尔伯塔埃德蒙顿 T6G2R3

基金项目:

National Natural Science Foundation of China 51208054

Special Fund for Basic Scientific Research of Central Colleges 2013G1211005

Special Fund for Basic Scientific Research of Central Colleges CHD2011JC056

详细信息

中图分类号: U491.51
计量
- 文章访问数: 916
- HTML全文浏览量: 111
- PDF下载量: 1902
- 被引次数: 0
出版历程
- 收稿日期: 2013-04-12
- 刊出日期: 2013-08-25

Review of traffic signal control methods under over-saturated conditions

1.
School of Highway, Chang'an University, Xi'an 710064, Shaanxi, China
2.
School of Information Engineering, Chang'an University, Xi'an 710064, Shaanxi, China
3.
School of Transportation, Southeast University, Nanjing 210096, Jiangsu, China
4.
Centre for Smart Transportation, University of Alberta, Edmonton T6G2R3, Alberta, Canada

Funds:

National Natural Science Foundation of China 51208054

Special Fund for Basic Scientific Research of Central Colleges 2013G1211005

Special Fund for Basic Scientific Research of Central Colleges CHD2011JC056

More Information

Author Bio:
LI Yan(1983-), Male, Hengshui, Hebei, Lecturer of Chang'an University,PhD,Researchon Traffic Signal Control, +86-29-82334636, lyan@chd.edu.cn

摘要

摘要: 为向拥堵状态城市路网的交通控制优化提供依据, 综述并评价了过饱和状态的交通信号控制策略; 分析了过饱和状态交通流的特征, 提出了过饱和状态交通信号控制的对应优化原理; 从单点交叉口、协同控制交叉口及路网3个层次对过饱和状态交通控制方法进行了总结与评价, 应用VISSIM仿真环境评价了已有控制策略的适用性; 总结了具备处理过饱和状态能力的自适应交通信号控制系统的控制策略。仿真结果表明: 过饱和状态的交通信号控制应优先优化道路空间的分配矛盾; 排队管理策略对过饱和交通流具有较好的优化效果; 建议在进行过饱和交通信号控制优化时, 结合实时交通信息, 采用排队管理、关键路径通行能力最大等控制策略, 在交叉口群或路网层面对交通信号控制方案进行优化。
- 交通信号控制 /
- 过饱和状态 /
- 控制策略 /
- 排队管理 /
- 交通仿真
Abstract: To provide references for traffic control optimization at congested urban road network, various traffic signal control strategies under over-saturated conditions were reviewed and evaluated.Based on the analysis of the characteristics of over-saturated traffic flow, the corresponding optimization principles of traffic signal control under over-saturated conditions were proposed.The traffic control strategies for isolated intersection, coordinated intersections and road network were summarized and evaluated by using VISSIM simulation environment.The control measures of adaptive traffic signal control system with the capability to deal with over-saturated conditions were summarized.Simulation result indicates that traffic signal control strategies under over-saturated conditions should optimize the allocation of road space in the first place.The queue management strategy has better performance on optimizing traffic signal under over-saturated conditions.It is suggested that the strategies like queue ratio maintenance and throughput maximization for critical route should be utilized with real-time traffic information for the optimization at the intersection group or road network level.
- traffic signal control /
- over-saturated condition /
- control strategy /
- queue management /
- traffic simulation

HTML全文

Figure 1. Residual queues at intersections

下载: 全尺寸图片幻灯片

Figure 2. Spillback at intersections

下载: 全尺寸图片幻灯片

Figure 3. Typical dual ring control unit of NEMA

下载: 全尺寸图片幻灯片

Figure 4. Simulation environment of VISSIM

下载: 全尺寸图片幻灯片

Figure 5. Intersection geometry

下载: 全尺寸图片幻灯片

Figure 6. Dynamic offsets in actuated coordination

下载: 全尺寸图片幻灯片

Figure 7. Selected road network

下载: 全尺寸图片幻灯片

Table 1. Experimental traffic volumes

下载: 导出CSV

Table 2. Comparison of evaluation results

下载: 导出CSV

Table 3. MOEs comparison

下载: 导出CSV

Table 4. Characteristics of traffic control systems for dealing with over-saturated conditions

下载: 导出CSV

参考文献(56)

[1]	WEBSTER F V. Traffic signal settings[R]. London: Road Research Laboratory, 1958.
[2]	YIN Y. Robust optimal traffic signal timing[J]. Transportation Research Part B: Methodological, 2008, 42 (10): 911-924. doi: 10.1016/j.trb.2008.03.005
[3]	SIMS A G, DOBINSON K W. The Sydney coordinated adaptive traffic (SCAT) system philosophy and benefits[J]. IEEE Transactions on Vehicular Technology, 1980, 29 (2): 130-137. doi: 10.1109/T-VT.1980.23833
[4]	BRETHERTON R D, BOWEN G T. Recent enhancements to SCOOT—SCOOT version 2.4[C]//IEEE. Proceedings of the 3rd Conference on Road Traffic Control. London: IEEE, 1990: 95-98.
[5]	LI Yan, GUO Xiu-cheng, YANG Jie, et al. Mechanism analysis and implementation framework for traffic signal control of over-saturated intersection group[J]. Journal of Transportation Systems Engineering and Information Technology, 2011, 11 (4): 28-34. doi: 10.1016/S1570-6672(10)60130-4
[6]	DENNEY R W, HEAD L, SPENCER K. Signal timing under saturated conditions[R]. Washington DC: Federal Highway Administration, 2008.
[7]	PAPAGEORGIOU M, DIAKAKI C, DINOPOULOU V, et al. Review of road traffic control strategies[J]. Proceedings of the IEEE, 2003, 91 (12): 2043-2067. doi: 10.1109/JPROC.2003.819610
[8]	WANG Fei-yue. Parallel control and management for intelligent transportation systems: concepts, architectures, and applications[J]. IEEE Transactions on Intelligent Transportation Systems, 2010, 11 (3): 630-638. doi: 10.1109/TITS.2010.2060218
[9]	DONG Chun-jiao, SHAO Chun-fu, MA Zhuang-lin, et al. Temporal-spacial characteristic of urban expressway under jam flow condition[J]. Journal of Traffic and Transportation Engineering, 2012, 12 (3): 73-79.
[10]	WU Xin-kai, LIU H X, GETTMAN D. Identification of oversaturated intersections using high-resolution traffic signal data[J]. Transportation Research Part C: Emerging Technologies, 2010, 18 (4): 626-638. doi: 10.1016/j.trc.2010.01.003
[11]	BAN Xue-gang, HAO Peng, SUN Zhan-bo. Real time queue length estimation for signalized intersections using travel times from mobile sensors[J]. Transportation Research Part C: Emerging Technologies, 2011, 19 (6): 1133-1156. doi: 10.1016/j.trc.2011.01.002
[12]	SHI Zhong-ke, QIAO Yu. Detection method of queuing vehicles on urban road[J]. Journal of Traffic and Transportation Engineering, 2012, 12 (5): 100-109.
[13]	ABBAS M M, ADAM Z M, GETTMAN D. Development and evaluation of optimal arterial control strategies for oversaturated conditions[J]. Transportation Research Record: Journal of the Transportation Research Board, 2011 (2259): 242-252.
[14]	URBANIK T, BEAIRD S, GETTMAN D, et al. Traffic signal state transition logic using enhanced sensor information[R]. Washington DC: Transportation Research Board, 2003.
[15]	HE Jia-jia, HOU Zai-en. Ant colony algorithm for traffic signal timing optimization[J]. Advances in Engineering Software, 2012, 43 (1): 14-18. doi: 10.1016/j.advengsoft.2011.09.002
[16]	AKCELIK R, ROUPHAIL N M. Estimation of delays at traffic signals for variable demand conditions[J]. Transportation Research Part B: Methodological, 1993, 27 (2): 109-131. doi: 10.1016/0191-2615(93)90003-S
[17]	PARK B B, LI Chen-yang. An analytical approach for estimating the highway capacity manual signalized intersection delay variability[J]. Computer-Aided Civil and Infrastructure Engineering, 2011, 26 (4): 327-333. doi: 10.1111/j.1467-8667.2010.00678.x
[18]	KIMBER R M, HOLLIS E M. Peak-period traffic delays at road junctions and other bottlenecks[J]. Traffic Engineering and Control, 1978, 19 (10): 442-446.
[19]	GAZIS D C. Optimum control of a system of oversaturated intersections[J]. Operations Research, 1964, 12 (6): 815-831. doi: 10.1287/opre.12.6.815
[20]	MICHALOPOULOS P G, STEPHANOPOULOS G. Oversaturated signal systems with queue length constraints—Ⅰ: single intersection[J]. Transportation Research, 1977, 11 (6): 413-421. doi: 10.1016/0041-1647(77)90006-5
[21]	MICHALOPOULOS P G, STEPHANOPOULOS G. Oversaturated signal systems with queue length constraints—Ⅱ: systems of intersections[J]. Transportation Research, 1977, 11 (6): 423-428. doi: 10.1016/0041-1647(77)90007-7
[22]	CHANG T H, SUN G Y. Modeling and optimization of an oversaturated signalized network[J]. Transportation Research Part B: Methodological, 2004, 38 (8): 687-707. doi: 10.1016/j.trb.2003.08.002
[23]	CHANG T H, SUN G T. Optimal signal timing for an oversaturated intersection[J]. Transportation Research Part B: Methodological, 2000, 34 (6): 471-491. doi: 10.1016/S0191-2615(99)00034-X
[24]	LIU Hong-chao, BALKE K N, LIN Wei-hua. A reverse causal-effect modeling approach for signal control of an oversaturated intersection[J]. Transportation Research Part C: Emerging Technologies, 2008, 16 (6): 742-754. doi: 10.1016/j.trc.2008.03.003
[25]	LONGLEY D. A control strategy for a congested computercontrolled traffic network[J]. Transportation Research, 1968, 2 (4): 391-408. doi: 10.1016/0041-1647(68)90104-4
[26]	ZHANG Meng-meng, JIA Lei, ZOU Nan, et al. Robust optimal traffic signal timing of urban single-point intersection[J]. Journal of Highway and Transportation Research and Development, 2011, 28 (1): 107-111.
[27]	MUCSI K, KHAN A M, AHMADI M. An adaptive neurofuzzy inference system for estimating the number of vehicles for queue management at signalized intersections[J]. Transportation Research Part C: Emerging Technologies, 2011, 19 (6): 1033-1047. doi: 10.1016/j.trc.2011.05.016
[28]	DION F, RAKHA H, KANG Y S. Comparison of delay estimates at under-saturated and over-saturated pre-timed signalized intersections[J]. Transportation Research Part B: Methodological, 2004, 38 (2): 99-122. doi: 10.1016/S0191-2615(03)00003-1
[29]	LI Peng-fei, ABBAS M. Stochastic dilemma hazard model at high-speed signalized intersections[J]. Journal of Transportation Engineering, 2010, 136 (5): 448-456. doi: 10.1061/(ASCE)TE.1943-5436.0000066
[30]	HE Qing, HEAD K L, DING Jun. PAMSCOD: platoonbased arterial multi-modal signal control with online data[J]. Transportation Research Part C: Emerging Technologies, 2012, 20 (1): 164-184. doi: 10.1016/j.trc.2011.05.007
[31]	LIU Yue, CHANG Gang-len. An arterial signal optimization model for intersections experiencing queue spillback and lane blockage[J]. Transportation Research Part C: Emerging Technologies, 2011, 19 (1): 130-144. doi: 10.1016/j.trc.2010.04.005
[32]	LIU H X, WU Xin-kai, MA Wen-teng, et al. Real-time queue length estimation for congested signalized intersections[J]. Transportation Research Part C: Emerging Technologies, 2009, 17 (4): 412-427. doi: 10.1016/j.trc.2009.02.003
[33]	STAMATIADIS C, GARTNER N H. MULTIBAND-96: a program for variable-bandwidth progression optimization of multiarterial traffic networks[J]. Transportation Research Record, 1996 (1554): 9-17.
[34]	HU Pei-feng, TIAN Zong-zhong, YUAN Zhen-zhou, et al. Variable-bandwidth progression optimization in traffic operation[J]. Journal of Transportation Systems Engineering and Information Technology, 2011, 11 (1): 61-72. doi: 10.1016/S1570-6672(10)60101-8
[35]	LI Peng-fei, GUO Xiu-cheng, LI Yan. An ATMS data-driven method for signalized artrial coordination[J]. Journal of Southeast University: English Edition, 2012, 28 (2): 229-235.
[36]	LU Kai, ZENG Xiao-si, LI Lin, et al. Two-way bandwidth maximization model with proration impact factor for unbalanced bandwidth demands[J]. Journal of Transportation Engineering, 2012, 138 (5): 527-534. doi: 10.1061/(ASCE)TE.1943-5436.0000352
[37]	GORDON R L. A technique for control of traffic at critical intersections[J]. Transportation Science, 1969, 3 (4): 279-287. doi: 10.1287/trsc.3.4.279
[38]	RATHI A K. A control scheme for high traffic density sectors[J]. Transportation Research Part B: Methodological, 1988, 22 (2): 81-101. doi: 10.1016/0191-2615(88)90008-2
[39]	BEAIRD S, URBANIK T, BULLOCK D M. Traffic signal phase truncation in event of traffic flow restriction[J]. Transportation Research Record, 2006 (1978): 87-94.
[40]	CHEN Juan, XU Li-hong, YUAN Chang-liang. Hierarchy control algorithm and its application in urban arterial control problem[J]. Journal of System Simulation, 2008, 20 (15): 4122-4127, 4131.
[41]	PUTHA R, QUADRIFOGLIO L, ZECHMAN E. Comparing ant colony optimization and genetic algorithm approaches for solving traffic signal coordination under oversaturation conditions[J]. Computer-Aided Civil and Infrastructure Engineering, 2012, 27 (1): 14-28. doi: 10.1111/j.1467-8667.2010.00715.x
[42]	LIU Qin, XU Jian-min. Coordinated control model of regional traffic signals[J]. Journal of Traffic and Transportation Engineering, 2012, 12 (3): 108-112.
[43]	RATHI A K. Traffic metering: an effectiveness study[J]. Transportation Quarterly, 1991, 45 (3): 421-440.
[44]	LIEBERMAN E B, CHANG J, PRASSAS E S. Formulation of real-time control policy for oversaturated arterials[J]. Transportation Research Record, 2000 (1727): 77-88.
[45]	LI Yan, YANG Jie, GUO Xiu-cheng, et al. Critical route identification method at related intersection group based on wavelet transform[J]. China Journal of Highway and Transport, 2012, 25 (1): 135-140.
[46]	LI Yan, GUO Xiu-cheng, YANG Jie, et al. Routes classification method at intersections group using wavelet transform and spectrum analysis[J]. Journal of Southeast University: Natural Science Edition, 2012, 42 (1): 168-172.
[47]	PARK E S, RILETT L R, SPIEGELMAN C H. A Markov chain Monte Carlo-based origin destination matrix estimator that is robust to imperfect intelligent transportation systems data[J]. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 2008, 12 (3): 139-155. doi: 10.1080/15472450802262364
[48]	LERTWORAWANICH P, KUWAHARA M, MISKA M. A new multiobjective signal optimization for oversaturated networks[J]. IEEE Transactions on Intelligent Transportation Systems, 2011, 12 (4): 967-976. doi: 10.1109/TITS.2011.2125957
[49]	WEI Heng, PERUGU H C. Oversaturation inherence and traffic diversion effect at urban intersections through simulation[J]. Journal of Transportation Systems Engineering and Information Technology, 2009, 9 (4): 72-82. doi: 10.1016/S1570-6672(08)60072-0
[50]	KOUVELAS A, ABOUDOLAS K, KOSMATOPOULOS E B, et al. Adaptive performance optimization for large-scale traffic control systems[J]. IEEE Transactions on Intelligent Transportation Systems, 2011, 12 (4): 1434-1445.
[51]	MIRCHANDANI P B, ZOU Ning. Queuing models for analysis of traffic adaptive signal control[J]. IEEE Transactions on Intelligent Transportation Systems, 2007, 8 (1): 50-59. doi: 10.1109/TITS.2006.888619
[52]	BRETHERTON D, BODGER M, COWLING J. SCOOT—managing congestion, communications and control[J]. Traffic Engineering and Control, 2006, 47 (3): 88-92.
[53]	VINCENT R A, YOUNG C P. Self-optimising traffic signal control using microprocessors—the TRRL MOVA strategy for isolated intersections[C]//IEEE. Second International Conference on Road Traffic Control. London: IEEE, 1986: 102-105.
[54]	TENEKECI G. A modelling technique for assessing linked MOVA[J]. Proceedings of the Institution of Civil Engineers: Transport, 2007, 160 (3): 125-138.
[55]	DINOPOULOU V, DIAKAKI C, PAPAGEORGIOU M. Applications of the urban traffic control strategy TUC[J]. European Journal of Operational Research, 2006, 175 (3): 1652-1665.
[56]	BIELEFELDT C, BUSCH F. MOTION—a new on-line traffic signal network control system[C]//IEEE. Seventh International Conference on Road Traffic Monitoring and Control. London: IEEE, 1994: 55-59.