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.
|Number of pages||25|
|Journal||Proceedings - Conference of the Australian Road Research Board|
|Publication status||Published - 1 Dec 1998|
|Event||Proceedings of the 1998 19th ARRB Conference - Sydney, Aust|
Duration: 7 Dec 1998 → 11 Dec 1998
ASJC Scopus subject areas