初级无人驾驶环境下的平面交叉口动态信号控制（英文）
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摘要
无人驾驶技术将会颠覆现有的城市交通系统。无人驾驶智能网联车的到来,对平面交叉口信号控制的效能提出了新的要求,相应的控制策略应能够很好地迎合智能车的特点。通过前所未有的信息手段,新兴的车路协同技术能够帮助降低信号交叉口的延误。本文提出了一种基于车辆-交通信号通讯的平面交叉口动态控制策略,适用于初级无人驾驶环境。当车辆靠近交叉口时,交通灯会给车辆发送诱导车速等信息,左转和直行车基于相应的信息会在交通流中被分开。本文阐述了这种动态控制策略如何重新组织交通流,在不对上游交叉口产生显著影响的情况下,来提升该交叉口的通行能力。结果表明,这种控制策略在较高的交通需求下,能够降低约15%的路口延误。
Autonomous vehicle technology will transform fundamentally urban traffic systems. To better enhance the coming era of connected and autonomous vehicles, effective control strategies that interact wisely with these intelligent vehicles for signalized at-grade intersections are indispensable. Vehicle-to-infrastructure communication technology offers unprecedented clues to reduce the delay at signalized intersections by innovative information-based control strategies. This paper proposes a new dynamic control strategy for signalized intersections with vehicle-to-signal information. The proposed strategy is called periodic vehicle holding(PVH) strategy while the traffic signal can provide information for the vehicles that are approaching an intersection. Under preliminary autonomous vehicle(PAV)environment, left-turning and through-moving vehicles will be sorted based on different information they receive. The paper shows how PVH reorganizes traffic to increase the capacity of an intersection without causing severe spillback to the upstream intersection. Results show that PVH can reduce the delay by approximately 15% at a signalized intersection under relatively high traffic demand.
Autonomous vehicle technology will transform fundamentally urban traffic systems. To better enhance the coming era of connected and autonomous vehicles, effective control strategies that interact wisely with these intelligent vehicles for signalized at-grade intersections are indispensable. Vehicle-to-infrastructure communication technology offers unprecedented clues to reduce the delay at signalized intersections by innovative information-based control strategies. This paper proposes a new dynamic control strategy for signalized intersections with vehicle-to-signal information. The proposed strategy is called periodic vehicle holding(PVH) strategy while the traffic signal can provide information for the vehicles that are approaching an intersection. Under preliminary autonomous vehicle(PAV)environment, left-turning and through-moving vehicles will be sorted based on different information they receive. The paper shows how PVH reorganizes traffic to increase the capacity of an intersection without causing severe spillback to the upstream intersection. Results show that PVH can reduce the delay by approximately 15% at a signalized intersection under relatively high traffic demand.
引文
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[25] WEBSTER F V. Traffic signal settings[R]. Road Research Technical Paper, No. 39. London:Road Research Laboratory,HMSO, 1958.
[26] LI Mao-sheng, XUE Hong-li, SHI Feng. Optimization of traffic signal parameters based on distribution of link travel time[J]. Journal of Central South University, 2017, 24:432-441.
[2] NEWELL G F. Theory of highway traffic signals.Publication UCB-ITS-RR-89-7[R]. Berkeley:Institute of Transportation Studies, University of California, 1989.
[3] WONG C K, WONG S C. Lane-based optimization of signal timings for isolated junctions[J]. Transportation Research Part B:Methodological, 2003, 37(1):63-84.
[4] MULANDI J, STEVANOVIC A, MARTIN P T. Crossevaluation of signal timing optimized by various traffic simulation and signal optimization tools[C]//Transportation Research Record:Journal of the Transportation Research Board, No. 2192, Transportation Research Board of the National Academies. Washington, D.C., 2010:147-155.
[5] KHALIGHI F, CHRISTOFA E. Emission-based signal timing optimization for isolated intersections[C]//Transportation Research Record:Journal of the Transportation Research Board, No. 2487, Transportation Research Board of the National Academies. Washington,D.C., 2015:1-14.
[6] YU Chun-hui, MA Wan-jing, HAN Ke, YANG Xiao-guang.Optimization of vehicle and pedestrian signals at isolated intersections[J]. Transportation Research Part B:Methodological, 2017,98:135-153.
[7] WONG C K, WONG S C, TONG C O. Optimization methods for off-line traffic signal settings:Recent advances and prospective future research[J]. Journal Transportation Systems Engineering Information Technology, 2005, 5(2):36-54.
[8] ZHANG Li-hui, SONG Zi-qi, TANG Xiao-jun, WANG Dian-hai. Signal coordination models for long arterials and grid networks[J]. Transportation Research Part C:Emerging Technologies, 2016, 71:215-230.
[9] MEMOLI S, CANTARELLA G E, LUCA S D, PACE R D.Network signal setting design with stage sequence optimization[J]. Transportation Research Part B:Methodological, 2017, 100:20-42.
[10] AHMANE M, ABBAS-TURKI A, PERRONNET F, WU Jia,MOUDNI A E, BUISSON J, ZED R. Modeling and controlling an isolated urban intersection based on cooperative vehicles[J]. Transportation Research Part C:Emerging Technologies, 2013,28:44-62.
[11] LI Zhuo-fei, ELEFTERIADOU L, RANKA S. Signal control optimization for automated vehicles at isolated signalized intersections[J]. Transportation Research Part C:Emerging Technologies, 2014,49:1-18.
[12] LI Zhi-xia, CHITTURI M V, YU Lang, BILLA R, NOYCE D A. Sustainability effects of next-generation intersection control for autonomous vehicles[J]. Transport, 2015, 30(3):342-352.
[13] GOLDBLATT R, MIER F, FRIEDMAN J. Continuous flow intersection[J]. Institute of Transportation Engineers Journal,1994, 64(7):35-42.
[14] YOU Xiao-ming, LI Li, MA Wan-jing. Coordinated optimization model for signal timings of full continuous flow intersections[C]//Transportation Research Record:Journal of the Transportation Research Board, No. 2356,Transportation Research Board of the National Academies.Washington, D.C., 2013:23-33.
[15] YANG Xian-feng, CHENG Yao. Development of signal optimization models for asymmetric two-leg continuous flow[J]. Transportation Research Part C:Emerging Technologies,2017, 74:306-326.
[16] XU AN Yi-guang, DAGANZO C F, CASSIDY M J.Increasing the capacity of signalized intersections with separate left turn phases[J]. Transportation Research Part B:Methodological, 2011,45(5):769-781.
[17] YAN Chi-wei,JIANG Hai, XIE Si-yang. Capacity optimization of an isolated intersection under the phase swap sorting strategy[J]. Transportation Research Part B:Methodological, 2014, 60:85-106.
[18] BIE Yi-ming, LIU Zhi-yuan, LU Lin-jun. Optimization ofcoordinated signal settings for hook-turn intersections[J].Journal of Advanced Transportation, 2015, 50:197-213.
[19] LIU Zhi-yuan, BIE Yi-ming. Comparison of hook-turn scheme with U-turn scheme based on actuated traffic control algorithm[J]. Transportmetrica A:Transport Science, 2015,11(6):484-501.
[20] WONG C K, HEYDECKER B G. Optimal allocation of turns to lanes at an isolated signal-controlled junction[J].Transportation Research Part B:Methodological, 2011, 45:667-681.
[21] WU Jia-ming, LIU Pan, TIAN ZONG Z, XU Cheng-cheng.Operational analysis of the contraflow left-turn lane design at signalized intersections in China[J]. Transportation Research Part C:Emerging Technologies, 2016, 69:228-241.
[22] SAE International. Taxonomy and definitions for terms related to on-road motor vehicle automated driving systems,January 2014[EB/OL][2017-02-19]. https://www.sae.org/misc/pdfs/automated_driving.pdf.
[23] ZHAO Jing,MA Wan-jing, ZHANG H M, YANG Xiao-guang. Two-step optimization model for dynamic lane assignment at isolated signalizedintersections[C]//Transportation Research Record:Journal of the Transportation Research Board, No. 2355, Transportation Research Board of the National Academies. Washington,D.C., 2013:39-48.
[24] LI Xin-gang, JIA Bin, GAO Zi-you, JIANG Rui. A realistic two-lane cellular automata traffic model considering aggressive lane-changing behavior of fast vehicle[J].Physica A:Statistical Mechanics and Its Applications, 2006,367:479-486.
[25] WEBSTER F V. Traffic signal settings[R]. Road Research Technical Paper, No. 39. London:Road Research Laboratory,HMSO, 1958.
[26] LI Mao-sheng, XUE Hong-li, SHI Feng. Optimization of traffic signal parameters based on distribution of link travel time[J]. Journal of Central South University, 2017, 24:432-441.