| Citation: | WANG Pangwei, FENG Yue, DENG Hui, WANG Yunfeng, WANG Li. A Cooperative Control Model of Continuous Signal Intersections for Connected Vehicles[J]. Journal of Transport Information and Safety, 2021, 39(1): 145-154. doi: 10.3963/j.jssn.1674-4861.2021.01.017
|
| [1] |
王庞伟, 于洪斌, 张为, 等. 城市车路协同系统下实时交通状态评价方法[J]. 中国公路学报, 2019, 32(6): 176-187. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201906019.htm
WANG Pangwei, YU Hongbin, ZHANG Wei, et al. Real-time traffic state evaluation method under urban vehicle-road collaboration system[J]. China Journal of Highway and Transport, 2019, 32(6): 176-187. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL201906019.htm
|
| [2] |
赵盼明, 刘钊, 刘玉, 等. 基于模糊控制的小区域交叉口群过饱和状态信号协调优化[J]. 交通信息与安全, 2018, 36(4): 51-59. doi: 10.3963/j.issn.1674-4861.2018.04.008
ZHAO Panming, LIU Zhao, LIU Yu, et al. Signal coordination and optimization based on fuzzy control in the supersaturated state of small area intersections[J]. Journal of Transport Information and Safety, 2018, 36(4): 51-59. (in Chinese) doi: 10.3963/j.issn.1674-4861.2018.04.008
|
| [3] |
SILVER D. Human-level control through deep reinforcement learning[J]. Nature, 2015, 518(7540): 529-533. doi: 10.1038/nature14236
|
| [4] |
RAVINDRAN B. Reinforcement learning: ln introduction[J]. IEEETransactionson Neural Networks, 1992, 9(5): 1054-1054.
|
| [5] |
曹建峰. 分段式优化数解法智能交通绿波带算法[J]. 物联网技术, 2013(8): 82-84. doi: 10.3969/j.issn.2095-1302.2013.08.027
CAO Jianfeng. Green wave band algorithm for intelligent transportation based on piecewise optimized number solution[J]. Internet of Things Technologies, 2013(8): 82-84. (in Chinese) doi: 10.3969/j.issn.2095-1302.2013.08.027
|
| [6] |
常玉林, 张其强, 张鹏. 城市干线双向绿波控制优化设计[J]. 重庆理工大学学报(自然科学版), 2014, 28(12): 108-112. doi: 10.3969/j.issn.1674-8425(z).2014.12.021
CHANG Yulin, ZHANG Qiqiang, ZHANG Peng. Two-way green wave control optimization design of urban trunk lines[J]. Journal of Chongqing University of Technology(Natural Science Edition), 2014, 28(12): 108-112. (in Chinese) doi: 10.3969/j.issn.1674-8425(z).2014.12.021
|
| [7] |
宋现敏, 张亚南, 马林. 交叉口动态车道与交通信号协同优化方法[J]. 交通运输系统工程与信息, 2020, 20(6): 121-128.
SONG Xianmin, ZHANG Yanan, MA Lin. Cooperative optimization method of dynamic lane and traffic signal at intersection[J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(6): 121-128. (in Chinese)
|
| [8] |
MOUSAVI S, SCHUKAT M, HOWLEY E. Traffic light control using deep policy-gradient and value-function-based reinforcement learning[J]. Intelligent Transport Systems, 2017, 11(7): 417-423. doi: 10.1049/iet-its.2017.0153
|
| [9] |
LI L, LYU Yisheng, WANG Feiyue. Traffic signal timing via deep reinforcement learning[J]. CAA Journal of Automatica Sinica, 2016, 3(3): 247-254. doi: 10.1109/JAS.2016.7508798
|
| [10] |
文峰, 张可新. 基于深度强化学习的交通信号配时优化研究[J]. 沈阳理工大学学报, 2019, 38(1): 48-52+63. https://www.cnki.com.cn/Article/CJFDTOTAL-SGXY201901011.htm
WEN Feng, ZHANG Kexin. Research on traffic signal timing optimization based on deep reinforcement learning[J]. Journal of Shenyang Ligong University, 2019, 38(1): 48-52 + 63. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SGXY201901011.htm
|
| [11] |
刘义, 何均宏. 强化学习在城市交通信号灯控制方法中的应用[J]. 科技导报, 2019, 37(6): 84-90. https://www.cnki.com.cn/Article/CJFDTOTAL-KJDB201906013.htm
LIU Yi, HE Junhong. The application of reinforcement learning in the control method of urban traffic lights[J]. Science & Technology Review, 2019, 37(6): 84-90. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-KJDB201906013.htm
|
| [12] |
XU Ming, WU Jianping, HUANG Ling, et al. Network-wide traffic signal control based on the discovery of critical nodes and deep reinforcement learning[J]. Journal of Intelligent Transportation Systems, 2020, 24(1): 1-10. doi: 10.1080/15472450.2018.1527694
|
| [13] |
TOUHBI S, BABRAM M A, NGUYEN-HUU T, et al. Adaptive traffic signal control: exploring reward definition for reinforcement learning[J]. Procedia Computer Science, 2017(109): 513-520. http://www.sciencedirect.com/science/article/pii/S1877050917309912
|
| [14] |
WU Yuankai, TAN Huachun, PENG Jiankun, et al. Deep reinforcement learning of energy management with continuous control strategy and traffic information for aseries-parallel plugin hybrid electric bus[J]. Applied Energy, 2019(247): 454-466. http://www.sciencedirect.com/science/article/pii/S030626191930652X
|
| [15] |
AREL I, LIU C, URBANIK T, et al. Reinforcement learning-based multi-agent system for network traffic signal control[J]. IET Intelligent Transport Systems, 2010, 4(2): 128-135. doi: 10.1049/iet-its.2009.0070
|
| [16] |
JIN J, MA X, KOSONEN I. An Intelligent control system for traffic lights with simulation-based evaluation[J]. Control Engineering Practice, 2017(58): 24-33. http://www.sciencedirect.com/science/article/pii/S096706611630212X
|
| [17] |
ZHAO Dongbin, DAI Yujie, ZHANG Zhen. Computational intelligence in urban traffic signal control: Asurvey[J]. IEEE Transactions on Systems, Man, and Cybernetics, 2011, 42(4): 485-494. http://ieeexplore.ieee.org/document/5978226
|
| [18] |
WAN Chiahao, HWANG Mingchorng. Value-based deep reinforcement learning for adaptive isolated intersectionsignal control[J]. IET Intelligent Transport Systems, 2018, 12(9): 1005-1010. doi: 10.1049/iet-its.2018.5170
|
| [19] |
TAN Tian, BAO Feng, DENG Yue, et al. Cooperative deep reinforcement learning for large-scale traffic grid signal control[J]. IEEE Transactions on Cybernetics, 2019, 50(6): 2687-2700. http://ieeexplore.ieee.org/document/8676356
|
Figures(13) / Tables(5)
DownLoad:
