Traffic Management System Using Fuzzy Logic

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H. S. Shukla and Jitesh Pati Tripathi

Abstract

Traffic congestion continues to be one of the major problems in various transportation systems. The ever increasing demand for
mobility in urban centers has resulted in increased traffic congestion and a multitude of problems associated with it. Peoples are especially concerned about those areas of the city which are regularly congested, because these areas could magnify the impact area and the duration of congestion. A prior knowledge about these areas and better understanding of impact of these areas could helps into more appropriate traffic management strategies.This paper present the method of detecting these areas ,which we call as ‘Congested Areas’ in terms of road traffic and analyses the impact of these ‘Congested Areas’ on traffic, both in terms of time and space. The Global Positioning System (GPS) data is used for this objective, as GPS has become a reliable, accurate and economically
feasible positioning technology for probe vehicle.

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How to Cite
1.
H. S. Shukla and Jitesh Pati Tripathi. Traffic Management System Using Fuzzy Logic. J. Int. Acad. Phys. Sci. [Internet]. 2011 Jun. 15 [cited 2024 May 9];15(2):189-97. Available from: https://www.iaps.org.in/journal/index.php/journaliaps/article/view/597
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