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Road Traffic Parameters Estimation by Dynamic Scene Analysis: A Systematic Review

Road Traffic Parameters Estimation by Dynamic Scene Analysis: A Systematic Review

H. S. Mohana, M. Ashwathakumar
Copyright: © 2012 |Pages: 16
ISBN13: 9781466600560|ISBN10: 146660056X|EISBN13: 9781466600577
DOI: 10.4018/978-1-4666-0056-0.ch016
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MLA

Mohana, H. S., and M. Ashwathakumar. "Road Traffic Parameters Estimation by Dynamic Scene Analysis: A Systematic Review." Evolving Developments in Grid and Cloud Computing: Advancing Research, edited by Emmanuel Udoh, IGI Global, 2012, pp. 223-238. https://doi.org/10.4018/978-1-4666-0056-0.ch016

APA

Mohana, H. S. & Ashwathakumar, M. (2012). Road Traffic Parameters Estimation by Dynamic Scene Analysis: A Systematic Review. In E. Udoh (Ed.), Evolving Developments in Grid and Cloud Computing: Advancing Research (pp. 223-238). IGI Global. https://doi.org/10.4018/978-1-4666-0056-0.ch016

Chicago

Mohana, H. S., and M. Ashwathakumar. "Road Traffic Parameters Estimation by Dynamic Scene Analysis: A Systematic Review." In Evolving Developments in Grid and Cloud Computing: Advancing Research, edited by Emmanuel Udoh, 223-238. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0056-0.ch016

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Abstract

Traffic congestion and violation of traffic rules are very common in most of the road transport system. Continuous monitoring is becoming difficult. To improve the quality of road transport monitoring and control, the best possible alternative is machine vision. In this review, several works by researchers on traffic analysis are detailed, studied and reviewed critically for the purpose. Further, an attempt is made to classify the different road traffic analysis approaches available in the literature. Classification is based on principle used, algorithm adopted, techniques used, technology behind and other special considerations of the researchers.

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