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Detection of Inclement Weather Conditions at a Signalized Intersection using a Video Image Processing Algorithm
Civil Engineering Faculty Publications
  • Anuj Sharma, University of Nebraska - Lincoln
  • Darcy M. Bullock, Purdue University
  • Srinivas Peeta, Purdue University
  • James V. Krogmeier, Purdue University
Date of this Version
1-1-2006
Disciplines
Citation

Proceedings of the 12th Digital Signal Processing Workshop (Wyoming, U.S.A., 2006): 150-155.

Comments

Copyright 2006, IEEE. Used by permission.

Abstract
Inclement weather conditions like snowfall adversely affect traffic flow characteristics, necessitating a change in parameters that define the operation of a signalized intersection. A weather-based timing plan selection is needed to maintain a desirable level of operational efficiency. Automatic implementation of weather-based timing at intersections requires accurate and timely detection of snowfall. This paper presents a snow detection algorithm that uses live video feed obtained from a video image vehicle detection system present at an intersection.
Citation Information
Anuj Sharma, Darcy M. Bullock, Srinivas Peeta and James V. Krogmeier. "Detection of Inclement Weather Conditions at a Signalized Intersection using a Video Image Processing Algorithm" (2006)
Available at: http://works.bepress.com/anuj_sharma1/21/