International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Open Access | Double Blind Reviewed

ISSN: 2319-7064


Downloads: 147 | Views: 147

M.Tech / M.E / PhD Thesis | Information Technology | China | Volume 5 Issue 4, April 2016


An Algorithm for Full Coverage and Real Time Traffic Density Calculation on Roads

Juma Joram Mashenene [2] | Xuewen Ding [4] | Said Kassim Katungunya [2]


Abstract: Intelligent traffic light systems are vital on assuring a realistic control and smooth flow of vehicles on the roads. For many years various systems had been proposed to solve various challenges related to vehicle traffic control. With all those efforts the traffic light systems in place as of now are inefficient and unrealistic due to the fact that most of the proposed solutions they failed to acknowledge the fact that coverage area of their systems is a vital player towards realistic systems, most of them are confined to traffic light junctions neighborhood. We propose an algorithm that increases surveillance coverage area to entire road segments and evaluates the incoming and outgoing vehicle traffic from the various road segments and at any given point of time it ensures that the exactly number of vehicles on the various road segments is known and this information is coupled to the timing subsystem for the evaluation of the time slot for various road segment on that round. The proposed algorithm together with its environmental setup will improve the efficiency vehicle traffic flow on our roads due to its realistic nature.


Keywords: Intelligent traffic light systems, Vehicle traffic flow, Vehicle traffic density


Edition: Volume 5 Issue 4, April 2016,


Pages: 32 - 35


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How to Cite this Article?

Juma Joram Mashenene, Xuewen Ding, Said Kassim Katungunya, "An Algorithm for Full Coverage and Real Time Traffic Density Calculation on Roads", International Journal of Science and Research (IJSR), Volume 5 Issue 4, April 2016, pp. 32-35, https://www.ijsr.net/get_abstract.php?paper_id=NOV162430

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