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Proceedings Paper

Selection of advanced technologies for detection of trucks
Author(s): Dan Middleton
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Paper Abstract

The North American Free Trade Agreement is anticipated an already increasing trend in highway freight movement across the international border between Texas and Mexico. The Texas Department of Transportation is concerned about safeguarding its motoring public and protection of its highway infrastructure. By sponsoring this research, it hopes to improve traffic signal operations, especially at isolated intersections. Recent advances in sensing technologies and signalization enable safer and more efficient intersection control. This research evaluated advanced detection technologies that can be used to increase green time to trucks and reduce their stops and delays. Equipment selection criteria required devices that were reasonably accurate in classification of vehicles under all weather and lighting conditions and determination of vehicle speeds. The research team selected active IR and passive acoustic technologies. Components of the detection system include: an Industrial PC, proprietary boards inside the computer, IR and acoustic detectors, a pole for mounting the selected systems, and a classifier system using pavement sensors for verification purposes. The purpose of the node computer was to interpret signals from detectors, store data, and communicate with the controller cabinet upon detection of a truck.

Paper Details

Date Published: 27 January 1998
PDF: 12 pages
Proc. SPIE 3207, Intelligent Transportation Systems, (27 January 1998); doi: 10.1117/12.300848
Show Author Affiliations
Dan Middleton, Texas A&M Univ. (United States)

Published in SPIE Proceedings Vol. 3207:
Intelligent Transportation Systems
Marten J. de Vries; Pushkin Kachroo; Kaan Ozbay; Alan C. Chachich, Editor(s)

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