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 language | English |
---|---|
Pages (from-to) | 25-49 |
Number of pages | 25 |
Journal | Proceedings - Conference of the Australian Road Research Board |
Publication status | Published - 1 Dec 1998 |
Externally published | Yes |
Event | Proceedings of the 1998 19th ARRB Conference - Sydney, Aust Duration: 7 Dec 1998 → 11 Dec 1998 |
ASJC Scopus subject areas
- Transportation