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Proceedings Paper

Comparative study of nonintrusive traffic monitoring sensors
Author(s): Gregory L. Duckworth; M. L. Frey; C. E. Remer; S. Ritter; G. Vidaver
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Paper Abstract

Traffic data collection studies and management systems require accurate and cost-effective sensors for roadway volume, vehicle speed, and vehicle type classification. In this study, we compare the performance of inexpensive and non-intrusive sensing using video cameras, passive acoustic microphone arrays, active ultrasonic acoustic ranging and Doppler sensors, Doppler radar, and passive infrared sensors in these applications. Using data taken on a highway near Boston, Mass. the various sensor types are coupled with appropriate signal processing for counting, speed estimation, and vehicle type classification. Emphasis is placed on understanding the fundamental limitations of each sensor type, and an interactive system for ground-truth database construction and comparison with the detected outputs and intermediate signal processor products is described. This system is essential for understanding the reasons for the observed performance.

Paper Details

Date Published: 6 January 1995
PDF: 14 pages
Proc. SPIE 2344, Intelligent Vehicle Highway Systems, (6 January 1995); doi: 10.1117/12.198925
Show Author Affiliations
Gregory L. Duckworth, Bolt Beranek and Newman, Inc. (United States)
M. L. Frey, Bolt Beranek and Newman, Inc. (United States)
C. E. Remer, Bolt Beranek and Newman, Inc. (United States)
S. Ritter, Bolt Beranek and Newman, Inc. (United States)
G. Vidaver, Bolt Beranek and Newman, Inc. (United States)


Published in SPIE Proceedings Vol. 2344:
Intelligent Vehicle Highway Systems
Richard J. Becherer, Editor(s)

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