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Title: AUTOMATIC VEHICLE IDENTIFICATION TECHNOLOGY-BASED FREEWAY INCIDENT DETECTION
Accession Number: 00803822
Record Type: Component
Record URL: Availability: Transportation Research Board Business Office 500 Fifth Street, NW Find a library where document is available Abstract: 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.
Supplemental Notes: This paper appears in Transportation Research Record No. 1727, Advanced Traffic Management Systems and Automated Highway Systems 2000.
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Hellinga, BKnapp, GPagination: p. 142-153
Publication Date: 2000
Serial: ISBN: 0309067340
Features: Figures
(8)
; References
(10)
; Tables
(3)
TRT Terms: Geographic Terms: Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control
Files: TRIS, TRB, ATRI
Created Date: Dec 6 2001 12:00AM
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