Towards Collaborative Traffic Sensing using Mobile Phones

Frank, Raphaël; Mouton, Maximilien; Engel, Thomas

Reference : Towards Collaborative Traffic Sensing using Mobile Phones


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/3495

Title :	Towards Collaborative Traffic Sensing using Mobile Phones
Language :	English
Author, co-author :	Frank, Raphaël [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Mouton, Maximilien [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Engel, Thomas [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	2012
Main document title :	Proceedings of the IEEE Vehicular Networking Conference 2012
Publisher :	IEEE
Pages :	15-20
Peer reviewed :	Yes
Audience :	International
ISBN :	978-1-4673-4994-9
Event name :	IEEE Vehicular Networking Conference 2012 (VNC'12)
Event date :	November 14-16, 2012
Event place (city) :	Seoul
Event country :	South Korea
Keywords :	[en] Mobile Sensors ; Community Sensing ; Traffic Monitoring ; Vehicular Networks
Abstract :	[en] Participatory mobile sensing applications are becoming increasingly popular. The growing population of privately-held mobile smartphones enables a plethora of new services. One of the most promising application areas is collaborative traffic sensing. Here, smartphones are used as mobile sensors to collect and share relevant location information in order to reconstruct a global picture of the traffic situation in a monitored area. There are several challenges that need to be addressed in order to provide an efficient and ubiquitous service. In this talk we present how low-cost mobile smartphones can be used for such services without compromising the everyday usage of the device. We first test several sensing policies and evaluate how they affect location accuracy and battery life. We then perform a penetration rate study to identify the proportion of participants required to provide good service by varying several parameters. The outcome shows that if configured correctly, smartphones can be used as accurate mobile traffic sensors providing important information even at low penetration rates.
Permalink :	http://hdl.handle.net/10993/3495

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