Comparative study of freeway incident detection algorithms.

Author(s)
Chung, E. & Kuwahara, M.
Year
Abstract

Four incident detection algorithms have been selected for this study: California, University of California, Berkeley, and Tokyo Metropolitan Expressways (MEX) freeway incident detection algorithms and artificial neural network model. These algorithms are calibrated and evaluated using 34 real-life incident data collected on the Tokyo Metropolitan Expressway. A performance index equation was introduced to assist in selecting optimal parameter values. Results of the fully calibrated algorithms are presented. (A)

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Publication

Library number
C 18107 (In: C 18105 CD-ROM) /72 / ITRD 492021
Source

In: Proceedings : papers presented at Transport 98, the 19th ARRB Conference, Sydney, Australia, 7-11 December 1998, Session A, p. 25-49, 15 ref.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.