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Proceedings Paper

Traffic sensor using a color vision method
Author(s): Alan C. Chachich; A. Pau; A. Barber; K. Kennedy; E. Olejniczak; J. Hackney; Q. Sun; E. Mireles
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Paper Abstract

In order to support intelligent traffic management systems, future traffic sensors will need to provide more traffic variables, and more accurate data than provided by the commonly used sensors today. In particular, future systems will need to recognize vehicles from sensor to sensor in order to measure point-to-point traffic variables like travel time. One characteristic that may be used to match vehicles between sensors is color. This work describes a machine vision based traffic sensor under development that uses sophisticated color signatures as a key component.

Paper Details

Date Published: 17 February 1997
PDF: 10 pages
Proc. SPIE 2902, Transportation Sensors and Controls: Collision Avoidance, Traffic Management, and ITS, (17 February 1997); doi: 10.1117/12.267141
Show Author Affiliations
Alan C. Chachich, MIT Ctr. for Transportation Studies (United States)
A. Pau, MIT Ctr. for Transportation Studies (United States)
A. Barber, MIT Ctr. for Transportation Studies (United States)
K. Kennedy, MIT Ctr. for Transportation Studies (United States)
E. Olejniczak, MIT Ctr. for Transportation Studies (United States)
J. Hackney, MIT Ctr. for Transportation Studies (United States)
Q. Sun, MIT Ctr. for Transportation Studies (United States)
E. Mireles, MIT Ctr. for Transportation Studies (United States)


Published in SPIE Proceedings Vol. 2902:
Transportation Sensors and Controls: Collision Avoidance, Traffic Management, and ITS
Alan C. Chachich; Marten J. de Vries, Editor(s)

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