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2015 | OriginalPaper | Chapter

Swarm-Based Controller for Traffic Lights Management

Authors : Federico Caselli, Alessio Bonfietti, Michela Milano

Published in: AI*IA 2015 Advances in Artificial Intelligence

Publisher: Springer International Publishing

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This paper presents a Traffic Lights control system, inspired by Swarm intelligence methodologies, in which every intersection controller makes independent decisions to pursue common goals and is able to improve the global traffic performance. The solution is low cost and widely applicable to different urban scenarios. This work is developed within the COLOMBO european project. Control methods are divided into macroscopic and microscopic control levels: the former reacts to macroscopic key figures such as mean congestion length and mean traffic density and acts on the choice of the signal program or the development of the frame signal program; the latter includes changes at short notice based on changes in the traffic flow: they include methods for signal program adaptation and development. The developed system has been widely tested on synthetic benchmarks with promising results.

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Metadata
Title
Swarm-Based Controller for Traffic Lights Management
Authors
Federico Caselli
Alessio Bonfietti
Michela Milano
Copyright Year
2015
DOI
https://doi.org/10.1007/978-3-319-24309-2_2

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