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Distributed Cooperative Backpressure-Based Traffic Light Control Method
2019
Journal of Advanced Transportation
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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
2009
VTC Spring 2009 - IEEE 69th Vehicular Technology Conference
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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
2013
Mathematical Problems in Engineering
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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]
2021
arXiv
pre-print
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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
2020
Electronics
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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
2020
Journal of Advanced Transportation
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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
2021
Wireless Communications and Mobile Computing
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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
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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
2016
Mathematical Problems in Engineering
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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
2021
International Journal of Interactive Multimedia and Artificial Intelligence
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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
2020
Mathematical Problems in Engineering
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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]
2017
arXiv
pre-print
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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
2022
Electronics
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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
2014
Transportation Research Procedia
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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
2018
European Transport Research Review
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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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