Title
A User-Customizable Urban Traffic Information Collection Method Based on Wireless Sensor Networks
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.
Year
DOI
Venue
2013
10.1109/TITS.2013.2252902
IEEE Transactions on Intelligent Transportation Systems
Keywords
Field
DocType
wsn environment,traffic information collection,decision making,traffic information acquisition,wireless sensor networks (wsns),decision-making,traffic monitoring systems,public transport,multiple routing related information,user customizable urban traffic information collection method,automated highways,data centric routing scheme,multiattribute decision-making (madm),traffic information systems,wireless sensor networks,telecommunication traffic,telecommunication network routing,data collection,routing
Traffic generation model,Floating car data,Computer network,Vehicle Information and Communication System,Traffic shaping,Engineering,Network traffic simulation,Wireless sensor network,Geographic routing,Network traffic control
Journal
Volume
Issue
ISSN
14
3
1524-9050
Citations 
PageRank 
References 
13
0.69
24
Authors
4
Name
Order
Citations
PageRank
Jin Zhou1873.78
C. L. Philip Chen24022244.76
Long Chen352849.21
Wei Zhao43532404.01