NDLI: Information Theory Based Traffic Pattern Detection in Mobile Ad Hoc Network of Vehicles

Content Provider	IEEE Xplore Digital Library
Author	Vaqar, S.A. Basir, O.
Copyright Year	2007
Description	Author affiliation: Waterloo Univ., Waterloo (Vaqar, S.A.; Basir, O.)
Abstract	Prior knowledge of road traffic conditions on the freeways is of prime importance for motorists. With recent developments in technology it is possible for the vehicles to be equipped with communication and GPS systems. The equipped vehicles on the road can act as nodes to form an ad hoc network. These nodes can collect information regarding traffic conditions such as position, speed and direction from other participating nodes. Depending upon the number of participating nodes this collected information can provide useful information of driving conditions to the node collecting this information. With proper analysis this information can be used in detecting and or predicting traffic jam conditions on the freeways. In this paper the traffic information gathered by a node in an ad hoc network is viewed as a snapshot in time of the current traffic condition on the road segment. This snapshot is considered as a pattern in time of the current traffic conditions. The pattern is analyzed using pattern recognition techniques. A weight of evidence based classification algorithm is presented to identify different road traffic conditions. The developed algorithm is tested using data generated by microscopic modelling of traffic flow for simulation of vehicle or node mobility in ad hoc networks. Test results are presented under assumption of different levels of vehicles equipped with communication capability.
Starting Page	1
Ending Page	6
File Size	2093384
Page Count	6
File Format	PDF
ISBN	1424411777
DOI	10.1109/ITST.2007.4295865
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-06
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicle detection Roads Telecommunication traffic Traffic control Mobile communication Ad hoc networks Information theory Mobile ad hoc networks Vehicles Testing
Content Type	Text
Resource Type	Article

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