NDLI: Multi-agent model-based predictive control for large-scale urban traffic networks using a serial scheme

Content Provider	IET Digital Library
Author	Zhou, Zhao Schutter, Bart De Lin, Shu Xi, Yugeng
Abstract	Urban traffic networks are large-scale systems, consisting of many intersections controlled by traffic lights and interacting connected links. For efficiently regulating the traffic flows and mitigating the traffic congestion in cities, a network-wide control strategy should be implemented. Control of large-scale traffic networks is often infeasible by only using a single controller, that is, in a centralised way, because of the high dimension, complicated dynamics and uncertainties of the system. In this study, the authors propose a multi-agent control approach using a congestion-degree-based serial scheme. Each agent employs a model-based predictive control approach and communicates with its neighbours. The congestion-degree-based serial scheme helps the agents to reach an agreement on their decisions regarding traffic control actions as soon as possible. A simulation study is carried out on a hypothetical large-scale urban traffic network based on the presented control strategy. The results illustrate that this approach has a better performance with regard to computation time compared with the centralised control method and a faster convergence speed compared with the classical parallel scheme.
Starting Page	475
Ending Page	484
Page Count	10
ISSN	17518644
Volume Number	9
e-ISSN	17518652
Issue Number	Issue 3, Feb (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/9/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2014.0490
Journal	IET Control Theory & Applications
Publisher Date	2014-12-19
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Centralised Control Method Computation Time Computational Complexity Congestion-degree-based Serial Scheme Convergence Convergence Speed Hypothetical Large-scale Urban Traffic Network Large-scale System Model-based Predictive Control Approach Multi-agent Control Approach Multi-agent System Multivariable Control System Network-wide Control Strategy Optimal Control Parallel Scheme Predictive Control Road Traffic Control Road Traffic System Control Traffic Congestion Mitigation Traffic Control Actions Traffic Flows Traffic Lights
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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