Journal of Shandong University(Engineering Science) ›› 2023, Vol. 53 ›› Issue (4): 48-55.doi: 10.6040/j.issn.1672-3961.0.2022.302

• 交通工程——智慧交通专题 • Previous Articles    

Signal control method integrating history and current traffic flow

ZHOU Xiaoxin, LIAO Zhuhua*, LIU Yizhi, ZHAO Yijiang, FANG Yijie   

  1. School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, Hunan, China
  • Published:2023-08-18

CLC Number: 

  • U121
[1] LIAO Z H, XIAO H. Impact assessing of traffic lights via GPS vehicle trajectories[J]. ISPRS International Journal of Geo-Information, 2021, 10(11): 769-782.
[2] SOUA R, KOESDWIADY A, KARRAY F. Big-data-generated traffic flow prediction using deep learning and dempster shafer theory[C] //International Joint Conference on Neural Networks. Vancouver, Canada: IEEE, 2016: 3195-3202.
[3] KOESDWIADY A, SOUA R, KARRAY F. Improving traffic flow prediction with weather information in connectedcars: a deep learning approach[J]. IEEE Transactions on Vehicular Technology, 2016, 65(12): 9508-9517.
[4] JIA Y, WU J, XU M. Traffic flow prediction with rainfall impact using a deep learning method[J]. Journal of Advanced Transportation, 2017(722):1-10.
[5] FU R, ZHANG Z, LI L. Using lstm and gru neural network methods for traffic flow prediction [C] // Youth Academic Annual Conference of Chinese Association of Automation(YAC). Wuhan, China, 2017: 324-328.
[6] ZHAO L, SONG Y, ZHANG C, et al. T-GCN: a temporal graph convolutional network for traffic prediction[J]. IEEE Transactions on Intelligent Transportation Systems, 2019, 21(9): 3848-3858.
[7] 吴昊昇,郑皎凌,王茂帆. TR-light:基于多信号灯强化学习的交通组织方案优化算法[J]. 计算机应用研究,2022,39(2): 504-509. WU Haosheng, ZHENG Jiaoling, WANG Maofan. TR-light: traffic organization scheme optimization algorithm based on multi signal reinforcement learning[J] Computer Application Research, 2022, 39(2):504-509.
[8] HERNANDEZ P, KARTAL B, TAYLOR M E. A survey and critique of multiagent deep reinforcement learning[J]. Autonomous Agents and Multi-Agent Systems, 2019, 33(6): 750-797.
[9] ALI M E M, DURDE A, CELTEK S A, et al. An adaptive method for traffic signal control based on fuzzy logic with webster and modified webster formula using SUMO traffic simulator[J]. IEEE Access, 2021, 9: 102985-102997.
[10] GU J, FANG Y, SHENG Z, et al. Double deep Q-network with a dual-agent for traffic signal control[J]. Applied Sciences, 2020, 10(5):1622.
[11] VAN H, GUEZ A, SILVER D. Deep reinforcement learning with double q-learning[C] // Proceedings of the AAAI Conference on Artificial Intelligence. Austin, USA:[s.n.] , 2016, 30(1).
[12] WEI H, CHEN CC, ZHENG G J, et al. Presslight: learning mar pressure control to coordinate traffic signals in arterial network[C] //Proc of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. New York, USA: ACM Press, 2019: 1290-1298.
[13] ZAIED A N H, Al O W. Development of a fuzzy logic traffic system for isolated signalized intersections in the State of Kuwait[J]. Expert Systems with Applications, 2011, 38(8): 9434-9441.
[14] YAGER R R, ZADEH L A. An introduction to fuzzy logic applications in intelligent systems[M]. Boston: Springer Science & Business Media, 2012: 87-95.
[15] JIANG T, WANG Z, CHEN F. Urban traffic signals timing at four-phase signalized intersection based on optimized two-stage fuzzy control scheme[J]. Mathematical Problems in Engineering, 2021, 2(1): 1-9.
[16] ZHENG F F, LIU H J, et al. Reliability-based traffic signal control for urban arterial roads[J]. IEEE Transactions on Intelligent Transportation Systems, 2017, 18(3): 643-655.
[17] 陈兆盟,刘小明,吴文祥,等.结合信号控制的交通状态及其真实性判别方法[J].重庆交通大学学报(自然科学版),2016,35(6):95-100. CHEN Zhaomeng, LIU Xiaoming, WU Wenxiang, et al. Identification method of traffic state and its authenticity combined with signal control[J]. Journal of Chongqing Jiaotong University(Natural Science Edition), 2016, 35(6): 95-100.
[18] 孔军伟.基于车辆排队长度的城市道路交通流宏观基本图研究[D].北京:北京交通大学,2019. KONG Junwei. Vehicle queue-length-based urban road traffic flow macroscopic fundamental diagrams[D]. Beijing: Beijing Jiaotong University, 2019.
[19] 蒋欢昕,王涛,程一一,等.基于多指标融合的单交叉口运行状态实时评价方法[J]. 交通信息与安全,2020,38(4): 84-94. JIANG Huanxin, WANG Tao, CHENG Yiyi, et al. A real time operational state evaluation method for isolated intersections based on multi-index fusion[J]. Journal of Transport Information and Safety, 2020, 38(4): 84-94.
[20] 批准部门浙江省建设厅. 城市道路人行过街设施规划与设计规范[S]. 浙江工商大学出版社, 2009:14-15.
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