JOURNAL ARTICLE

On Distributed Traffic Signal Control

Abstract

Distributed control mechanisms have been studied in past decades in different application areas. Currently, multiagent systems are a popular topic also in ITS systems, where numerous approaches to distribution of system intelligence are being tested. One of the main problems in distributed control, however, remains the guarantee of reaching the global optimum -- while most of the applications perform sufficiently well, there is no way to tell that they cannot perform even better, or that they may fail under certain operating conditions. Luckily, for certain control paradigms such guarantees may be given. In this paper we study two approaches to distributed control, namely distributed LQ control and distributed non-lonear control using COBYLA algorithm, and apply them to urban traffic control scenario. We show that the convergence conditions are met and results achieved with distributed control converge to those of centralised control mechanisms.

Keywords:
Computer science Control (management) Convergence (economics) Distributed computing Control system Multi-agent system Engineering Artificial intelligence

Metrics

3
Cited By
0.63
FWCI (Field Weighted Citation Impact)
18
Refs
0.74
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Control Systems Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Traffic control and management
Physical Sciences →  Engineering →  Control and Systems Engineering
Network Traffic and Congestion Control
Physical Sciences →  Computer Science →  Computer Networks and Communications

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