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Energies 2019, 12(7), 1402; https://doi.org/10.3390/en12071402

Multi-Agent-Based Data-Driven Distributed Adaptive Cooperative Control in Urban Traffic Signal Timing

1
School of Electrical & Control Engineering, North China University of Technology, Beijing 100144, China
2
School of Automation, Qingdao University, Qingdao 266071, China
3
School of Automation, Beijing Information Science & Technology University, Beijing 100192, China
*
Author to whom correspondence should be addressed.
Received: 25 March 2019 / Revised: 30 March 2019 / Accepted: 5 April 2019 / Published: 11 April 2019
(This article belongs to the Special Issue Energy Efficiency and Data-Driven Control)
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Abstract

Data-driven intelligent transportation systems (D2ITSs) have drawn significant attention lately. This work investigates a novel multi-agent-based data-driven distributed adaptive cooperative control (MA-DD-DACC) method for multi-direction queuing strength balance with changeable cycle in urban traffic signal timing. Compared with the conventional signal control strategies, the proposed MA-DD-DACC method combined with an online parameter learning law can be applied for traffic signal control in a distributed manner by merely utilizing the collected I/O traffic queueing length data and network topology of multi-direction signal controllers at a single intersection. A Lyapunov-based stability analysis shows that the proposed approach guarantees uniform ultimate boundedness of the distributed consensus coordinated errors of queuing strength. The numerical and experimental comparison simulations are performed on a VISSIM-VB-MATLAB joint simulation platform to verify the effectiveness of the proposed approach. View Full-Text
Keywords: D2ITS; data-driven control; multi-agent systems; adaptive cooperative control; queuing strength balance; urban traffic signal timing D2ITS; data-driven control; multi-agent systems; adaptive cooperative control; queuing strength balance; urban traffic signal timing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Zhang, H.; Liu, X.; Ji, H.; Hou, Z.; Fan, L. Multi-Agent-Based Data-Driven Distributed Adaptive Cooperative Control in Urban Traffic Signal Timing. Energies 2019, 12, 1402.

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