Proposed Traffic Light Control Mechanism Based on Multi-Agent Coordination
Author(s) -
Satoshi Kurihara,
Ryo Ogawa,
Kosuke Shinoda,
Hirohiko Suwa
Publication year - 2016
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2016.p0803
Subject(s) - computer science , traffic congestion , traffic flow (computer networking) , control (management) , mechanism (biology) , flow control (data) , distributed computing , transport engineering , computer network , artificial intelligence , engineering , epistemology , philosophy
Traffic congestion is a serious problem for people living in urban areas, causing social problems such as time loss, economical loss, and environmental pollution. Therefore, we propose a multi-agent-based traffic light control framework for intelligent transport systems. Achieving consistent traffic flow necessitates the real-time adaptive coordination of traffic lights; however, many conventional approaches are of the centralized control type and do not have this feature. Our multi-agent-based control framework combines both indirect and direct coordination. Reaction to dynamic traffic flow is attained by indirect coordination, whereas green-wave formation, which is a systematic traffic flow control strategy involving several traffic lights, is attained by direct coordination. We present the detailed mechanism of our framework and verify its effectiveness using simulation to carry out a comparative evaluation.
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