Collision Pattern Modeling and Real-Time Collision Detection at Road Intersections
Salim, Flora , Loke, Seng Wai , Rakotonirainy, Andry, Srinivasan, Bala, & Krishnaswamy, Shonali (2007) Collision Pattern Modeling and Real-Time Collision Detection at Road Intersections. In IEEE Intelligent Transportation Systems Conference, 30 September - 3 October, Seattle, USA.
The 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.
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|Item Type:||Conference Paper|
|Additional Information:||Author affiliations: F. D. Salim is with the Caulfield School of Information Technology, Monash University, Caulfield East, VIC 3145, Australia (e-mail: Flora.Salim@infotech.monash.edu.au). S. W. Loke is with Department of Computer Science & Computer Engineering at La Trobe University, Bundoora, Victoria 3086, Australia (email: firstname.lastname@example.org). A. Rakotonirainy is with the Centre for Accident Research and Road Safety Queensland, Queensland University of Technology, Carseldine, QLD 4034, Australia (e-mail: email@example.com). B. Srinivasan is with the Clayton School of Information Technology, Monash University, Clayton, VIC 3168, Australia (e-mail: Bala.Srinivasan@infotech.monash.edu.au). S. Krishnaswamy is with the Caulfield School of Information Technology, Monash University, Caulfield East, VIC 3145, Australia (email: Shonali.Krishnaswamy@infotech.monash.edu.au).|
|Subjects:||Australian and New Zealand Standard Research Classification > COMMERCE MANAGEMENT TOURISM AND SERVICES (150000) > TRANSPORTATION AND FREIGHT SERVICES (150700) > Road Transportation and Freight Services (150703)|
Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400)
Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > PURE MATHEMATICS (010100) > Mathematical Logic Set Theory Lattices and Universal Algebra (010107)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Simulation and Modelling (080110)
|Divisions:||Current > Research Centres > Centre for Accident Research & Road Safety - Qld (CARRS-Q)|
Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
|Copyright Owner:||Copyright 2007 IEEE|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||03 Dec 2007|
|Last Modified:||29 Feb 2012 23:36|
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