Int. J. of Granular Computing, Rough Sets and Intelligent Systems   »   2009 Vol.1, No.2



Title: Automated real-time vehicle classifier development based on vehicle signature


Author: Seri Park, Stephen G. Ritchie


Tetra Tech Inc., 16241 Laguna Canyon Road, Suite 200, Irvine, CA 92618, USA.
Department of Civil and Environmental Engineering, and Institute of Transportation Studies, University of California – Irvine, Irvine, CA 92697, USA


Abstract: Complete and accurate traffic information is becoming more and more available with the advance in transportation surveillance technology. Especially, vehicle classification information can contribute to many transportation related fields such as road pavement management, estimation of polluted emission etc. In previous sections and chapters, it was shown that vehicle signature is function of vehicle type and traffic conditions. By exploiting this concept, the algorithm development in vehicle classification is investigated and corresponding results are presented.


Keywords: inductive loop detector; ILD; vehicle signature; vehicle classification; traffic information; transport surveillance; vehicle type; traffic conditions; vehicle recognition; vehicle identification; traffic analysis; traffic modelling.


DOI: 10.1504/IJGCRSIS.2009.028007


Int. J. of Granular Computing, Rough Sets and Intelligent Systems, 2009 Vol.1, No.2, pp.164 - 178


Available online: 27 Aug 2009



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