A Distributed Algorithm for Multiple Intersections Adaptive Traffic Lights Control using a Wireless Sensor Networks

Abstract : In this article, we detail and evaluate a distributed algorithm that defines the green lights sequence and duration in a multi-intersection intelligent transportation system (ITS). We expose the architecture of a wireless network of sensors deployed at intersections, which takes local decisions without the help of a central entity. We define an adaptive algorithm, called TAPIOCA (distribuTed and AdaPtive IntersectiOns Control Algorithm), that uses data collected by this sensor network to decide dynamically of the green light sequences, considering three objectives: (i) reducing the users average waiting time while limiting the starvation probability; (ii) selecting in priority the movements that have the best load discharge potential and (iii) synchronizing successive lights, for example to create green waves. Simulation results performed with the SUMO simulator show that TAPIOCA achieves a low average waiting time of vehicles and reacts quickly to traffic load increases, compared to other dynamic strategies and to pre-determined schedules.
Type de document :
Communication dans un congrès
UrbaNe Workshop, held in conjunction with ACM CoNEXT 2012, Dec 2012, Nice, France. pp.13-18, 2012, 〈10.1145/2413236.2413240〉
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https://hal.archives-ouvertes.fr/hal-00780441
Contributeur : Claude Chaudet <>
Soumis le : mercredi 23 janvier 2013 - 23:55:02
Dernière modification le : jeudi 22 novembre 2018 - 14:40:58

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Sébastien Faye, Claude Chaudet, Isabelle Demeure. A Distributed Algorithm for Multiple Intersections Adaptive Traffic Lights Control using a Wireless Sensor Networks. UrbaNe Workshop, held in conjunction with ACM CoNEXT 2012, Dec 2012, Nice, France. pp.13-18, 2012, 〈10.1145/2413236.2413240〉. 〈hal-00780441〉

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