DocumentCode :
2963360
Title :
Detection of Inclement Weather Conditions at a Signalized Intersection using a Video Image Processing Algorithm
Author :
Sharma, Anuj ; Bullock, Darcy ; Peeta, Srinivas ; Krogmeier, James
Author_Institution :
Dept. of Civil Eng., Prudue Univ., Lafayette, IN
fYear :
2006
fDate :
24-27 Sept. 2006
Firstpage :
150
Lastpage :
155
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
Keywords :
geophysical signal processing; road traffic; road vehicles; snow; traffic control; video signal processing; weather forecasting; inclement weather condition detection; live video feed; signalized intersection; snowfall; traffic flow; video image vehicle detection algorithm; weather-based timing; Acceleration; Image processing; Legged locomotion; Signal processing; Snow; Terminology; Timing; Traffic control; US Department of Transportation; Vehicle detection; Inclement weather; detectors; traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing Workshop, 12th - Signal Processing Education Workshop, 4th
Conference_Location :
Teton National Park, WY
Print_ISBN :
1-4244-3534-3
Electronic_ISBN :
1-4244-0535-1
Type :
conf
DOI :
10.1109/DSPWS.2006.265437
Filename :
4041049
Link To Document :
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