Adaptive Traffic Light Control In WSN-Based ITS: Both isolated intersection and multiple intersections - Couverture souple

Zhou, Binbin; Cao, Jiannong; Li, Bai

 
9783848425426: Adaptive Traffic Light Control In WSN-Based ITS: Both isolated intersection and multiple intersections
Couverture souple
ISBN 10 : 3848425424 ISBN 13 : 9783848425426
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

The conventional surveillance methods used in ITS to detect real-time traffic data, e.g. video image processing and inductive loops detection, have several shortcomings, such as limited coverage and high costs of implementation and maintenance. Wireless Sensor Networks (WSNs) offer the potential of providng real-time traffic data without these drawbacks. Hence, in the past decade, WSNs have been applied to ITS to improve the performance of ITS. Controlling traffic lights plays a key role in ITS. We investigate how to design methods and algorithms for adaptive traffic light control in a WSN-based ITS. We propose models and schemes for adaptive traffic light control for both isolated intersections and multiple intersections. The proposed approaches take advantage of real-time traffic information collected by WSNs to achieve high system throughput, low waiting time and few stops for the vehicles. We have implemented the proposed schemes on our testbed for Intelligent Services with WSNs, iSensNet to evaluate and demonstrate the performance. Our experimental results show that our approaches can deal with different traffic conditions in an effective manner.

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Présentation de l'éditeur

The conventional surveillance methods used in ITS to detect real-time traffic data, e.g. video image processing and inductive loops detection, have several shortcomings, such as limited coverage and high costs of implementation and maintenance. Wireless Sensor Networks (WSNs) offer the potential of providng real-time traffic data without these drawbacks. Hence, in the past decade, WSNs have been applied to ITS to improve the performance of ITS. Controlling traffic lights plays a key role in ITS. We investigate how to design methods and algorithms for adaptive traffic light control in a WSN-based ITS. We propose models and schemes for adaptive traffic light control for both isolated intersections and multiple intersections. The proposed approaches take advantage of real-time traffic information collected by WSNs to achieve high system throughput, low waiting time and few stops for the vehicles. We have implemented the proposed schemes on our testbed for Intelligent Services with WSNs, iSensNet to evaluate and demonstrate the performance. Our experimental results show that our approaches can deal with different traffic conditions in an effective manner.

Biographie de l'auteur

Binbin Zhou is a lecturer in the College of Information Science and Technology, Zhejiang Shuren University, Hangzhou, China. Her research interests are in the areas of wireless sensor network and intelligent transportation system. She received the M.Phil degree in Department of Computing from The Hong Kong Polytechnic University, Hong Kong in 2011.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3848425424
ISBN 13 
9783848425426
Reliure
Broché
Nombre de pages
156
Coordonnées du fabricant
non disponible
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