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Title:

AUTOMATIC VEHICLE IDENTIFICATION TECHNOLOGY-BASED FREEWAY INCIDENT DETECTION

Accession Number:

00803822

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

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Order URL: http://worldcat.org/isbn/0309067340

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
Washington, DC 20001 United States

Authors:

Hellinga, B
Knapp, G

Pagination:

p. 142-153

Publication Date:

2000

Serial:

Transportation Research Record

Issue Number: 1727
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309067340

Features:

Figures (8) ; References (10) ; Tables (3)

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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