DocumentCode :
6668
Title :
A User-Customizable Urban Traffic Information Collection Method Based on Wireless Sensor Networks
Author :
Jin Zhou ; Chen, C.L.P. ; Long Chen ; Wei Zhao
Author_Institution :
Dept. of Comput. & Inf. Sci., Univ. of Macau, Taipa, China
Volume :
14
Issue :
3
fYear :
2013
fDate :
Sept. 2013
Firstpage :
1119
Lastpage :
1128
Abstract :
Traffic monitoring can efficiently promote urban planning and encourage better use of public transport. Efficient traffic information collection is one important part of traffic monitoring systems. Based on a technique using wireless sensor networks (WSNs), this paper provides a flexible framework for regional traffic information collection in accordance with user request. This framework serves as a basis for future research in designing and implementing traffic monitoring applications. A two-layer network architecture is established for traffic information acquisition in the context of a WSN environment. In addition, a user-customizable data-centric routing scheme is proposed for traffic information delivery, in which multiple routing-related information is considered for decision-making to meet different user requirements. Simulations have shown good performance of the proposed routing scheme compared with other traditional routing schemes on a real-world urban traffic network.
Keywords :
automated highways; decision making; telecommunication network routing; telecommunication traffic; traffic information systems; wireless sensor networks; WSN environment; data centric routing scheme; decision-making; multiple routing related information; public transport; traffic information acquisition; traffic monitoring systems; user customizable urban traffic information collection method; wireless sensor networks; Multiattribute decision-making (MADM); traffic information collection; wireless sensor networks (WSNs);
fLanguage :
English
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1524-9050
Type :
jour
DOI :
10.1109/TITS.2013.2252902
Filename :
6493443
Link To Document :
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