Forward search algorithm based on dynamic programming for real-time adaptive traffic signal control

The scheduling of traffic signal at intersections is involved in an application of artificial intelligence system. This study presents a new forward search algorithm based on dynamic programming (FSDP) under a decision tree, and explores an efficient solution for real-time adaptive traffic signal co...

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Veröffentlicht in:	IET intelligent transport systems Jg. 9; H. 7; S. 754 - 764
Hauptverfasser:	Yin, Biao, Dridi, Mahjoub, El Moudni, Abdellah
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 01.09.2015 Institution of Engineering and Technology
Schlagworte:	adaptive control Algorithms artificial intelligence artificial intelligence system asymmetrical traffic flow scenarios Computer Science decision tree decision trees Dynamic programming fixed phase sequence forward research dynamic programming forward search algorithm FSDP algorithm labelled position method Mathematical models Mathematics online algorithm optimal control optimal fixed‐time control Optimization Policies process optimisation real‐time adaptive traffic signal control policy road traffic control rolling horizon approach scheduling search problems traffic delay evaluation Traffic engineering Traffic flow traffic signal scheduling Traffic signals variable phase sequence fixed phase sequence process optimisation traffic signal scheduling artificial intelligence system forward research dynamic programming road traffic control online algorithm dynamic programming adaptive control optimal control labelled position method rolling horizon approach artificial intelligence FSDP algorithm decision tree variable phase sequence asymmetrical traffic flow scenarios optimal fixed-time control decision trees forward search algorithm scheduling traffic delay evaluation real-time adaptive traffic signal control policy search problems
ISSN:	1751-956X, 1751-9578
Online-Zugang:	Volltext
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