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Distributed Cooperative Backpressure-Based Traffic Light Control Method

Shenxue Hao, Licai Yang, Li Ding, Yajuan Guo
2019 Journal of Advanced Transportation  
On the foundation of the original backpressure-based traffic light control algorithm, a distributed cooperative backpressure-based traffic light control method is proposed in this paper.  ...  Light phase switching coordination among adjacent intersections is achieved using the consensus-based bundle algorithm, in which the cooperative light phase switching problem is viewed as a task assignment  ...  Although adaptive traffic control systems have been implied in real urban traffic networks, the cooperation of multiple intersections requires a control center, which has obstructed further development  ... 
doi:10.1155/2019/7481489 fatcat:vf2r2pzdobaxjeskctjexpqtqm

Adaptive Fuzzy Urban Traffic Flow Control Using a Cooperative Multi-Agent System based on Two Stage Fuzzy Clustering

Fatemeh Daneshfar, Javad RavanJamJah, Fathollah Mansoori, Hassan Bevrani, Bahram Zahir Azami
2009 VTC Spring 2009 - IEEE 69th Vehicular Technology Conference  
This study devises an adaptive and cooperative multi-agent fuzzy system for a decentralized traffic signal control. To achieve this we have worked on a model which has three levels of control.  ...  This study focused on utilizing the prediction mechanism of our architecture, it finds most correlated intersections based on a two stage fuzzy clustering algorithm which finds most intersections effect  ...  To control the traffic volume in each intersection, we use three parameters: In this paper we propose a cooperative multi agent approach and an adaptive fuzzy inference system based on two stage fuzzy  ... 
doi:10.1109/vetecs.2009.5073360 dblp:conf/vtc/DaneshfarRMBA09 fatcat:xtdgjxj6tngktfscizl2iepboa

The Study of Reinforcement Learning for Traffic Self-Adaptive Control under Multiagent Markov Game Environment

Lun-Hui Xu, Xin-Hai Xia, Qiang Luo
2013 Mathematical Problems in Engineering  
The design employs traffic signal control agent (TSCA) for each signalized intersection that coordinates with neighboring TSCAs.  ...  This study casts traffic self-adaptive control as a multiagent Markov game problem.  ...  The authors would like to thank the members of the academic team guided by Professor Lun-hui Xu for their advice.  ... 
doi:10.1155/2013/962869 fatcat:jkx72k5dcbgw5idj5c4m3leyxe

Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem [article]

Chengwei Zhang and Shan Jin and Wanli Xue and Xiaofei Xie and Shengyong Chen and Rong Chen
2021 arXiv   pre-print
The adaptive traffic signal control (ATSC) problem can be modeled as a multiagent cooperative game among urban intersections, where intersections cooperate to optimize their common goal.  ...  To this, we model the traffic control problem as a partially observable weak cooperative traffic model (PO-WCTM) to optimize the overall traffic situation of a group of intersections.  ...  With the development of the machine learning theory, deep reinforcement learning (DRL) has become a new trend in adaptive signal traffic control.  ... 
arXiv:2104.10917v1 fatcat:f2pinj66xrfgvk56tgfmkiacqa

A Review of Research on Intersection Control Based on Connected Vehicles and Data-Driven Intelligent Approaches

Kai Gao, Shuo Huang, Jin Xie, Neal N. Xiong, Ronghua Du
2020 Electronics  
Applied in the field of traffic control, these technologies can provide high-quality input data and make a more comprehensive evaluation of the effectiveness of traffic control.  ...  However, most of the control theories and strategies adopted by adaptive control systems cannot effectively use these real-time, high-precision data.  ...  Introduction to Adaptive Signal Control System The development of adaptive signal control can be roughly divided into the following six stages, as shown in Table 1 .  ... 
doi:10.3390/electronics9060885 fatcat:d26bhoifcrapxk3qrgvt767pki

Dynamic Eco-Driving on Signalized Arterial Corridors during the Green Phase for the Connected Vehicles

Xiangmo Zhao, Xia Wu, Qi Xin, Kang Sun, Shaowei Yu
2020 Journal of Advanced Transportation  
This model can be applied to pass two successive traffic signals cooperatively during green phase. In this study, a multi-stage optimal approach is proposed to minimize the fuel consumption.  ...  Drivers can be informed of the accurate signal phase and timing (SPaT) and distance information of the current intersection and downstream intersections via vehicle-to-everything (V2X) communications.  ...  scientific guidance. us, the contribution of this paper is presenting a dynamic speed optimization approach via minimizing the fuel consumption to instruct the vehicles to go through two adjacent intersections  ... 
doi:10.1155/2020/1609834 fatcat:meyr43stlbczffl7vwsqto56di

Coordinated Control of Distributed Traffic Signal Based on Multiagent Cooperative Game

Zhenghua Zhang, Jin Qian, Chongxin Fang, Guoshu Liu, Quan Su, Zhipeng Cai
2021 Wireless Communications and Mobile Computing  
In the adaptive traffic signal control (ATSC), reinforcement learning (RL) is a frontier research hotspot, combined with deep neural networks to further enhance its learning ability.  ...  This paper proposes multiagent reinforcement learning based on cooperative game (CG-MARL) to design the intersection as an agent structure.  ...  As one of the classic RL algorithms, Q-learning [8] was first used in traffic signal control algorithms [9] .  ... 
doi:10.1155/2021/6693636 fatcat:7amnnzidtjbhnlnydlzfiiydg4

An Adaptive Traffic Signal Control in a Connected Vehicle Environment: A Systematic Review

2017 Information  
Although several reviews about traffic signal control or connected vehicles have been written, a systemic review of adaptive traffic signal control in a connected vehicle environment has not been made.  ...  The purpose of this paper is to critically review the existing methods of adaptive traffic signal control in a connected vehicle environment and to compare the advantages or disadvantages of those methods  ...  At least one term from each of the three categories of search terms or keywords must be used to contain: (1) signal control, traffic signal control, adaptive signal control, real-time signal control, intersection  ... 
doi:10.3390/info8030101 fatcat:7vmqizhvobhlrpldeiodwru2yu

Safe, Resilient, and Sustainable Transportation Systems

Yuanchang Xie, Pan Liu, Chronis Stamatiadis
2016 Mathematical Problems in Engineering  
Accurate traffic flow predictions are also important to traffic signal control. A. O.  ...  They applied the new IDM to Adaptive Cruise Control (ACC) and simulated it under two road conditions. They found that the new model can improve the safety and stability of ACC.  ...  Also, we are extremely grateful to all reviewers for their time and outstanding work, which are critical to the success and quality of this special issue. Yuanchang Xie Pan Liu Chronis Stamatiadis  ... 
doi:10.1155/2016/5696419 fatcat:w26p5lmidremnehcxmyxkqwlti

Multi-Agent and Fuzzy Inference-Based Framework for Traffic Light Optimization

Abdelouafi Ikidid, El Fazziki Abdelaziz, Mohammed Sadgal
2021 International Journal of Interactive Multimedia and Artificial Intelligence  
It reduces the average travel delay and the time spent in the network compared to multi-agent-based adaptative signal control systems.  ...  The optimizing of signal layouts is done in real time, and it is not only based on local stream factors but also on traffic stream conditions in surrounding intersections.  ...  Results and Analysis We assess the performance of MCTSO by referring to two control methods, namely the adaptative traffic signal optimization and adaptative multi-agent traffic signals control proposed  ... 
doi:10.9781/ijimai.2021.12.002 fatcat:xpgkn6b55bcdbluesyc5o2vkky

Cooperative Multiagent Deep Deterministic Policy Gradient (CoMADDPG) for Intelligent Connected Transportation with Unsignalized Intersection

Tianhao Wu, Mingzhi Jiang, Lin Zhang
2020 Mathematical Problems in Engineering  
Thus, this paper proposes a Cooperative MADDPG (CoMADDPG) for connected vehicles at unsignalized intersection to solve this problem.  ...  unsignalized intersection control.  ...  Kim and Jeong proposed a cooperative traffic signal control scheme using traffic flow prediction for a multi-intersection [4] .  ... 
doi:10.1155/2020/1820527 fatcat:opkcxvn5vbhbfciytszlfmz7iy

Self-Organization in Traffic Lights: Evolution of Signal Control with Advances in Sensors and Communications [article]

Sanjay Goel, Stephen F. Bush, Carlos Gershenson
2017 arXiv   pre-print
Our research results indicate that, while many sophisticated techniques have attempted to improve the scheduling of traffic signal control, either real-time sensing of traffic patterns or a priori knowledge  ...  This survey of autonomous and self-organized traffic signaling control has been undertaken with these potential developments in mind.  ...  ACKNOWLEDGEMENTS " The author(s) declare(s) that there is no conflict of interest regarding the publication of this paper."  ... 
arXiv:1708.07188v1 fatcat:nojqrol46ndull6hoaoq7blu2m

State-of-Art Review of Traffic Light Synchronization for Intelligent Vehicles: Current Status, Challenges, and Emerging Trends

Ishu Tomar, Indu Sreedevi, Neeta Pandey
2022 Electronics  
The effective control and management of traffic at intersections is a challenging issue in the transportation system.  ...  It examines the benefits of synchronizing the traffic signals on various busy routes for the smooth flow of traffic at intersections.  ...  Acknowledgments: This work has been carried out under the supervision of Indu Sreedevi and  ... 
doi:10.3390/electronics11030465 fatcat:qao6qxhdubdkpmhbm7zqwyfwvm

Evaluation of a Signal State Prediction Algorithm for Car to Infrastructure Applications

Mirko Barthauer, Bernhard Friedrich
2014 Transportation Research Procedia  
In the model which is used for simulation two existing urban intersections are considered: Whereas one of the intersections is characterized by public transport priority, the signal times at the other  ...  In order to assess the reliability of existing prediction methods, a well-known algorithm based on Markov chains is evaluated using a microscopic simulation study.  ...  This includes adaptive signal control on a single intersection as well as a coordination of at least subsequent intersections.  ... 
doi:10.1016/j.trpro.2014.10.078 fatcat:jzko4rnrnrb73lmm5rs2hjau6m

Multi-agent preemptive longest queue first system to manage the crossing of emergency vehicles at interrupted intersections

Ali Louati, Sabeur Elkosantini, Saber Darmoul, Hassen Louati
2018 European Transport Research Review  
The suggested system has two main purposes, which are the guidance of EVs and the control of traffic signals.  ...  To assess the suggested system, we have developed a distributed and preemptive version of VISSIM Optimized Stage-Based Fixed-Time algorithm.  ...  [12] used Reinforcement Learning technique to develop a multiobjective control algorithm for urban traffic signal control.  ... 
doi:10.1186/s12544-018-0317-5 fatcat:g2sijba4ojfrrmh3ohfja3e2wu
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