Comparative study of freeway incident detection algorithms

E. Chung, M. Kuwahara

Research output: Journal article publicationConference articleAcademic researchpeer-review

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.

Original languageEnglish
Pages (from-to)25-49
Number of pages25
JournalProceedings - Conference of the Australian Road Research Board
Publication statusPublished - 1 Dec 1998
Externally publishedYes
EventProceedings of the 1998 19th ARRB Conference - Sydney, Aust
Duration: 7 Dec 199811 Dec 1998

ASJC Scopus subject areas

  • Transportation

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