Smart City Gnosys

Smart city article details

Title	Adaptive Joint Control Of Intersection Traffic Signals And Variable Lanes Using Multi-Agent Learning
ID_Doc	6267
Authors	Wang M.; Wang H.; Wei S.; Zhang D.
Year	2025
Published	IET Intelligent Transport Systems, 19, 1
DOI	http://dx.doi.org/10.1049/itr2.70032
Abstract	To effectively manage varying traffic flows at urban intersections during peak and off-peak hours, especially under conditions of unbalanced directional demand, we propose a learning-based coordination method for traffic signal control and variable-direction lane control (LCSL) to alleviate traffic congestion. The framework integrates a variable-direction lane control module and a traffic signal control module, leveraging mutual interaction and real-time information sharing to enable dynamic, coordinated decision-making. Additionally, we design an adaptive reward function based on lane balancing and traffic demand to enhance the adaptive coordination between agents. The use of a prioritized experience replay (Pr) mechanism further enhances the efficiency of experience utilization, accelerates algorithm convergence, and ensures the adaptive stability of the agents across varying traffic conditions. The experimental findings indicate that the LCSL method effectively decreases the average delay by 33.5% and the queue length by 48.2%, compared to the current state-of-the-art techniques, exhibiting higher stability and efficiency and improving intersection throughput. © 2025 The Author(s). IET Intelligent Transport Systems published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.
Author Keywords	artificial intelligence; management and control; Markov processes; road traffic control; smart cities; traffic modeling

Similar Articles

Id	Similarity	Authors	Title	Published
55970	0.885	Yilin L.; Jinglin L.	The Intersection Of Companions: Differential Traffic Signal Control In Multi-Agent Systems	Proceedings of 2022 8th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2022 (2022)
38103	0.881	Sabit H.	Multi-Agent Reinforcement Learning For Smart City Automated Traffic Light Control	Proceedings - 2023 IEEE International Conference on High Performance Computing and Communications, Data Science and Systems, Smart City and Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2023 (2023)
44895	0.881	Barta Z.; Kovács S.; Botzheim J.	Reinforcement Learning-Based Cooperative Traffic Control System	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14811 LNAI (2024)
40923	0.88	Zhang Z.; Zhou B.; Zhang B.; Cheng P.; Lee D.-H.; Hu S.	Optimizing Traffic Signal Control In Mixed Traffic Scenarios: A Predictive Traffic Information-Based Deep Reinforcement Learning Approach	2024 Forum for Innovative Sustainable Transportation Systems, FISTS 2024 (2024)
23735	0.88	Sattarzadeh A.R.; Pathirana P.N.	Enhancing Adaptive Traffic Control Systems With Deep Reinforcement Learning And Graphical Models	Proceedings - 2024 IEEE International Conference on Future Machine Learning and Data Science, FMLDS 2024 (2024)
16165	0.878	Huang Z.; Dai W.; Zou Y.; Li D.; Cai J.; Gadekallu T.R.; Wang W.	Cooperative Traffic Scheduling In Transportation Network: A Knowledge Transfer Method	IEEE Transactions on Intelligent Transportation Systems (2025)
25829	0.877	Thamaraiselvi K.; Bohra A.R.; Vishal V.; Sunkara P.S.; Sunku B.; Nityajignesh B.	Exploring Traffic Signal Control: A Comprehensive Survey On Reinforcement Learning Techniques	3rd IEEE International Conference on Industrial Electronics: Developments and Applications, ICIDeA 2025 (2025)
50634	0.876	Ahmadi K.; Allan V.H.	Smart City: Application Of Multi-Agent Reinforcement Learning Systems In Adaptive Traffic Management	2021 IEEE International Smart Cities Conference, ISC2 2021 (2021)
18044	0.876	Jiang M.-Z.; Wu T.-H.; Zhang L.	Deep Reinforcement Learning Based Vehicular Cooperative Control Algorithm At Signal-Free Intersection; [基于深度强化学习的无信号交叉口车辆协同控制算法]	Journal of Transportation Engineering and Information, 20, 2 (2022)
31510	0.873	Antes T.D.O.; Bazzan A.L.C.; Tavares A.R.	Information Upwards, Recommendation Downwards: Reinforcement Learning With Hierarchy For Traffic Signal Control	Procedia Computer Science, 201, C (2022)