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Collision pattern modeling and real-time collision detection at road intersections
conference contribution
posted on 2007-01-01, 00:00 authored by F D Salim, Seng LokeSeng Loke, A Rakotonirainy, B Srinivasan, S KrishnaswamyThe crash rate in road intersection demonstrates the need for a fast and accurate collision detection system. Ubiquitous computing research provides a significant opportunity to develop novel ways of improving road intersection safety. The existing intersection collision warning or avoidance systems are mostly built to suit a particular intersection. We suggest that an intersection collision detection system should be able to adapt to different types of intersections by acquiring the collision patterns of the intersection through data mining. Collision patterns that are specific to that intersection are stored in a knowledge base to select vehicles which are exposed to a high risk of collision. This algorithm increases the speed of collision detection calculation, as detection is not applied on all possible pairs in an intersection. The performance and accuracy of the algorithm are evaluated. This evaluation is done on a developed simulation bed and the results are presented.
History
Event
Intelligent Transportation. Conference (2007 : Seattle, Washington State)Series
Intelligent Transportation ConferencePagination
161 - 166Publisher
Institute of Electrical and Electronics EngineersLocation
Seattle, Washington StatePlace of publication
Piscataway, N.J.Publisher DOI
Start date
2007-09-30End date
2007-10-03ISBN-13
9781424413966ISBN-10
1424413966Language
engPublication classification
E1.1 Full written paper - refereedEditor/Contributor(s)
[Unknown]Title of proceedings
ITSC 2007 : Proceedings of the 2007 IEEE Intelligent Transportation Systems ConferenceUsage metrics
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