The recent emergence of automatic vehicle identification technology (AVI) for use in electronic toll collection has provided an opportunity to develop automatic incident detection (AID) methods that rely on individual vehicle travel time data instead of loop detector data. The performances of three AVI-based AID algorithms are examined. Travel time data for testing of the algorithms were obtained by simulating a 12-km section of the collector facility of Highway 401 in Toronto, Ontario, Canada. The performances of the three AVI-based AID algorithms are compared with the performance of a leading loop detector–based algorithm, which was independently tested with similar simulated data. The AID performance results indicate that AVI-based AID algorithms can provide incident detection performance similar to that of existing loop detector-based AID methods.
Automatic Vehicle Identification Technology-Based Freeway Incident Detection
Transportation Research Record: Journal of the Transportation Research Board
Transportation Research Record: Journal of the Transportation Research Board ; 1727 , 1 ; 142-153
01.01.2000
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Automatic Vehicle Identification Technology-Based Freeway Incident Detection
Online Contents | 2000
|Detection-delay-based freeway incident detection algorithms
Online Contents | 2003
|Real Time Freeway Incident Detection
NTIS | 2014
|Sampling Strategies for Probe-Vehicle-Based Freeway Incident Detection Algorithms
Online Contents | 2004
|Sampling Strategies for Probe-Vehicle-Based Freeway Incident Detection Algorithms
Transportation Research Record | 2004
|