Cooperative multi-agent system for coordinated traffic signal control

Srinivasan, Dipti; Choy, Min Chee

doi:10.1049/ip-its:20055011

Cited by 32 publications

(11 citation statements)

References 4 publications

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“…Nowadays MAS technology is being used for a wide range of control applications including scheduling and planning [1,2], diagnostics [3], condition monitoring [4][5][6], distributed control [5,7], hybrid control [8], congestion control [9,10], system restoration [11], market simulation [12,13], network control [13,14], and automation [15]. Moreover, the technology is growing to the point where the first multi-agent systems are now being immigrated from the laboratory to the utility, allowing industry to gain experience in the use of MAS and also to evaluate their effectiveness [1].…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Multi‐Agent Systems in Control Engineering: A Survey

Daneshfar

Bevrani

2009

Journal of Control Science and Engineering

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This paper presents a survey on multi-agent system (MAS) capabilities in control engineering applications. It describes essential concepts of multi-agent systems that are related to the control systems and presents an overview on the most important control engineering issues which MAS can be explored. Most important technical aspects in MAS implementation and development in engineering environment are also explained. Design methodologies, standards, tools, and supporting technologies to provide an effective MAS-based control design are addressed and a discussion on important related standards and protocols is given. Finally, some comments and new perspectives for design and implementation of agent-based control systems are presented.

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Section: Introductionmentioning

confidence: 99%

[Retracted] Multi‐Agent Systems in Control Engineering: A Survey

Daneshfar

Bevrani

2009

Journal of Control Science and Engineering

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“…For this, the systems did not influence the traffic participants directly. They controlled it, for instance, with intelligent traffic light logic [19] or with electronic gantries. The necessary data input were achieved by induction loops in the asphalt.…”

Section: A Early Daysmentioning

confidence: 99%

Intelligent Transportation Systems Using External Infrastructure: A Literature Survey

Christian¹,

Bing²,

Knoll³

2021

Preprint

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Increasing problems in the transportation segment are accidents, bad traffic flow and pollution. The Intelligent Transportation System with the use of external infrastructure (ITS) can tackle these problems. To the best of our knowledge, there exists no current systematic review of the existing solutions. To fill this knowledge gap, this paper provides an overview about existing ITS which use external infrastructure. Furthermore, this paper discovers the currently not adequately answered research questions. For this reason, we performed a literature review to documents, which describes existing ITS solutions since 2009 until today. We categorized the results according to his technology level and analyzed their properties. Thereby, we made the several ITS comparable and highlighted the past development as well as the current trends. According to the mentioned method, we analyzed more than 346 papers, which includes 40 test bed projects. In summary, the current ITS can deliver high accurate information about individuals in traffic situations in real-time. However, further research in ITS should focus on more reliable perception of the traffic with the use of modern sensors, plug and play mechanism as well as secure realtime distribution in decentralized manner for a high amount of data. With addressing these topics, the development of Intelligent Transportation Systems is in a correction direction for the comprehensive roll-out.

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“…Each agent senses and controls the variables of its subsystems, while communicating with agents in the vicinity to obtain neighbourhood variables and coordinate their actions. A distributed and interactive network of agents to manage real-time traffic control was proposed in [12]. Each agent in the cooperative ensemble is able to dynamically determine the size of its cooperative zone.…”

Section: Multi-agent Systemsmentioning

confidence: 99%

Reinforcement learning-based multi-agent system for network traffic signal control

Arel

Liu

Urbanik

et al. 2010

IET Intell. Transp. Syst.

484

254

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A challenging application of artificial intelligence systems involves the scheduling of traffic signals in multi-intersection vehicular networks. This paper introduces a novel use of a multi-agent system and reinforcement learning (RL) framework to obtain an efficient traffic signal control policy. The latter is aimed at minimising the average delay, congestion and likelihood of intersection cross-blocking. A five-intersection traffic network has been studied in which each intersection is governed by an autonomous intelligent agent. Two types of agents, a central agent and an outbound agent, were employed. The outbound agents schedule traffic signals by following the longest-queue-first (LQF) algorithm, which has been proved to guarantee stability and fairness, and collaborate with the central agent by providing it local traffic statistics. The central agent learns a value function driven by its local and neighbours' traffic conditions. The novel methodology proposed here utilises the Q-Learning algorithm with a feedforward neural network for value function approximation. Experimental results clearly demonstrate the advantages of multi-agent RL-based control over LQF governed isolated single-intersection control, thus paving the way for efficient distributed traffic signal control in complex settings.

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Cooperative multi-agent system for coordinated traffic signal control

Cited by 32 publications

References 4 publications

[Retracted] Multi‐Agent Systems in Control Engineering: A Survey

[Retracted] Multi‐Agent Systems in Control Engineering: A Survey

Intelligent Transportation Systems Using External Infrastructure: A Literature Survey

Reinforcement learning-based multi-agent system for network traffic signal control

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