原文传递 Automatic freeway incident detection using travel time data from AVI equipped vehicles.
题名: Automatic freeway incident detection using travel time data from AVI equipped vehicles.
作者: HELLINGA-B (Waterloo Univ, Ontario, Canada); KNAPP-G (Waterloo Univ, Ontario, Canada)
关键词: CONFERENCE-; 8525-; INTELLIGENT-TRANSPORT-SYSTEM; 8735-; AUTOMATIC-VEHICLE-IDENTIFICATION; 8767-; INCIDENT-DETECTION; 1632-; CALCULATION-; 6464-; METHOD-; 9102-
摘要: 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*) For the covering abstract see ITRD E110327.
总页数: PROCEEDINGS OF 6TH WORLD CONGRESS ON INTELLIGENT TRANSPORT SYSTEMS (ITS), HELD TORONTO, CANADA, NOVEMBER 8-12, 1999. 1999. pp-
报告类型: 科技报告
检索历史
应用推荐