Traffic Data Collection under Mixed Traffic Conditions Using Video Image Processing
Publication: Journal of Transportation Engineering
Volume 135, Issue 4
Abstract
Traffic data collection under mixed traffic conditions is one of the major problems faced by researchers as well as traffic regulatory authorities. Study and analysis of traffic behavior is critically dependent on the availability of observed traffic data. For mixed traffic observed in developing countries, no suitable tool is available for this purpose. Keeping in view these necessities and problems in data collection, a novel offline image processing-based data collection system, suitable for mixed traffic conditions, is developed. Its underlying ability to detect, track, and classify vehicles makes it useful in collecting traffic data under varying traffic conditions. This system can automatically analyze traffic videos and provide macroscopic traffic characteristics such as classified vehicle flows, average vehicle speeds and average occupancies, and microscopic characteristics such as individual vehicle trajectories, lateral, and longitudinal spacing. It is observed that this new system is working well even under congested mixed traffic conditions.
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Acknowledgments
TRAZER has been developed at Kritikal Solutions Private Limited, India with support from Geetam Tiwari and Dinesh Mohan, TRIPP, IIT Delhi, India. Technical inputs were taken from the Department of Computer Science, IIT Delhi, India.
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Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 135 • Issue 4 • April 2009
Pages: 174 - 182
Copyright
© 2009 ASCE.
History
Received: Jan 9, 2007
Accepted: Dec 2, 2008
Published online: Apr 1, 2009
Published in print: Apr 2009
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