Research on Real-Time Arterial Coordination Traffic Signal Control Model Based on Minimum Per Capita Delay

doi:10.16182/j.issn1004731x.joss.201709009

Abstract

Abstract: To improve overall efficiency for all travelers of artery system, a real-time arterial coordination traffic signal control model was proposed. The model not only satisfied minimum per capita delay for all travelers on motor vehicles, but also selected effective green time and phase difference as the optimized parameters. The model of vehicle head delay and team tail delay was established based on traffic wave theory. The vehicle delay model for bus and social vehicles was developed in light of different occupancy rates, besides, the per capita delay could be obtained by introducing it. The results show that the overall average stop frequency and average speeds of artery are significantly improved. Meanwhile, the average travel time of segments between intersections is obviously decreased.

Key words: minimum per capita delay, real-time control, arterial coordination, traffic simulation

CLC Number:

U491

Li Yang, Jiao Pengpeng, Liu Meiqi. Research on Real-Time Arterial Coordination Traffic Signal Control Model Based on Minimum Per Capita Delay[J]. Journal of System Simulation, 2017, 29(9): 1938-1944.

References

[1] Lu S, Liu X, Dai S.Revised MAXBAND Model for Bandwidth Optimization of Traffic Flow Dispersion[C]// ISECS International Colloquium on Computing, Communication, Control, and Management (CCCM.2008.251). USA: IEEE Computer Society, 2008: 85-89.
[2] 卢兰萍, 李毅杰, 张忠达. 基于干线延误最小的线控系统相位差优化研究[J]. 河北工程大学学报(自然科学版), 2008, 25(4): 41-44.
(Lu L P, Li Y J, Zhang Z D.The Optimization Research on Phase Separation of the X-by-wire System Based on the Smallest Route Delay[J]. Journal of Hebei University of Engineering (Natural Science Edition), 2008, 25(4): 41-44.)
[3] 徐铖铖, 陈峻. 基于人均延误最小的干线交叉口协调配时优化[J]. 交通信息与安全, 2009, 27(5): 33-37.
(Xu C C, Chen J.An Optimal Method for Signal Coordination on Arterial Streets Aiming[J]. Journal of Transport Information & Safety, 2009, 27(5): 33-37.)
[4] 王彬, 刘新, 李月高, 等. 一种基于干线协调的公交信号优先方法及其验证分析[J]. 公路交通科技, 2011, 28(7): 36-39.
(Wang B, Liu X, Li Y G, et al.A Method of Public Traffic Signal Priority and Verification Based on Coordination of Trunk Road[J]. Journal of Highway & Transportation Research & Development, 2011, 28(7): 36-39.)
[5] 肖秀春. 干道协调下公交信号优先方法研究 [D]. 广州: 华南理工大学, 2012.
(Xiao X C.The Method Study of Public Traffic Signal Priority Based on Arterial Road Coordination [D]. Guangzhou, China: South China University of Technology, 2012.)
[6] Balaji P G, Sachdeva G, Srinivasan D, et al.Multi-agent System Based Urban Traffic Management[C]// IEEE Congress on Evolutionary Computation. USA: IEEE, 2007: 1740-1747.
[7] Balaji P G, German X, Srinivasan D.Urban Traffic Signal Control Using Reinforcement Learning Agents[J]. IET Intelligent Transport Systems (S1751-956X), 2010, 4(3): 177-188.
[8] Zhou J.Traffic Signal Coordination Control of City Arterial Road that Based on Graphic Method[C]// International Conference on Electronic and Mechanical Engineering and Information Technology. USA: IEEE, 2011: 3562-3566.
[9] Guo L, Yang R, Zhang M.Arterial Traffic Two-Direction Green Wave Coordination Control Based on MATLAB Graphical Method[C]// International Conference on Information Science and Control Engineering. USA: IEEE, 2015.
[10] Davood K, Assef Z, Saeed B.Coordinated Signal Control for Arterial Intersections Using Fuzzy Logic[J]. Central European Journal of Engineering (S2081-9927), 2013, 3(3): 436-445.
[11] 杨晓光, 周光伟, 杭明升, 等. 公交优先技术方法[J]. 城市交通, 2000 (2): 1-12.
(Yang X G, Zhou G W, Hang M S, et al.Bus Priority Technology Method[J]. Urban Transport of China, 2000 (2): 1-12.)
[12] Lee D H, Wei H.A New Methodology for Multi-level Bus Prioritization at Signalized Intersections[C]// Transportation Research Board 84th Annual Meeting, 2004. Washington DC, USA: Transportation Research Board, 2004.
[13] Eichler M, Daganzo C F.Bus Lanes with Intermittent Priority: Strategy Formulae and an Evaluation[J]. Transportation Research Part B Methodological (S0191-2615), 2006, 40(9): 731-744.
[14] Xiao H Z, Zhen L L, Yang Z C.Hybrid Control Based on q-learning for Urban Traffic Signal[J]. Journal of System Simulation (S1004-731X), 2006, 18(10): 2889-2894.
[15] Abdulhai B, Pringle R, Karakoulas G J.Reinforcement Learning for True Adaptive Traffic Signal Control[J]. ASCE Journal of Transportation Engineering (S0733-947X), 2003, 129(3): 278-285.