Title: A state roadway incident e-detection and e-characterisation system

Authors: Gary P. Moynihan, Terry Brumback, Daniel Fonseca

Addresses: Department of Civil, Construction and Environmental Engineering, The University of Alabama, Box 870205, Tuscaloosa, AL 35487-0205, USA. ' Industrial Engineering Program, The University of Alabama, Box 870288, Tuscaloosa, AL 35487-0288, USA. ' Department of Mechanical Engineering, The University of Alabama, Box 870276, Tuscaloosa, AL 35487-0276, USA

Abstract: The purpose of this research was to develop a computer-based road incident detection and characterisation system. It was designed for incorporation and enhancement of an existing traffic monitoring system used by the South Carolina Department of Transportation (SCDOT) Based on the requirements, a fuzzy logic approach was selected and adapted as the algorithmic processor for the decision support system. A working prototype system was then constructed in the first phase of development. This paper focuses on the second phase, primarily the expansion and evaluation of the road incident characterisation and re-routing capabilities.

Keywords: accident incident detection; accident incident characterisation; traffic analysis; traffic re-routing; decision support systems; DSS; e-government; electronic government; road traffic accidents; fuzzy logic.

DOI: 10.1504/EG.2011.042809

Electronic Government, an International Journal, 2011 Vol.8 No.4, pp.309 - 326

Published online: 04 Oct 2011 *

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