The recent emergence of automatic vehicle identification (AVI) technology 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 rather than loop detector data. This paper examines the performance of two AVI based AID algorithms. Travel time data for testing the algorithms was obtained by simulating a 12-km section of the collector facility of Highway 401 in Toronto, Canada. The results from the two AVI based AID algorithms are compared to the performance of a leading loop detector based algorithm, which was also tested on simulated data. The AID performance results indicate that AVI based AID has the potential to improve on existing loop detector based AID methods. (A*)
Samenvatting