International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Apr. 2024
Submitted Papers : 80
Accepted Papers : 10
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Acc. Perc : 12%
Issue Published : 133
Paper Published : 1712
No. of Authors : 4737
  Journal Paper


Paper Title :
Adaptive Control Of Traffic Grid Using Fuzzy Logic

Author :Ashutosh Choudhary, Avinash G Keskar, Pratik Kothari, Ashwin Gajghate, Atul Pandey

Article Citation :Ashutosh Choudhary ,Avinash G Keskar ,Pratik Kothari ,Ashwin Gajghate ,Atul Pandey , (2014 ) " Adaptive Control Of Traffic Grid Using Fuzzy Logic " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 51-57, Volume-2,Issue-8

Abstract : A considerable amount of work has been done on the problem of modeling and controlling traffic junctions. Although the description of the events occurring in any individual intersection in the linked or disjoint system can be useful in modeling simple traffic networks the major problem in cities concerns sets of intersections (not individual ones). An adaptive traffic controller using fuzzy logic is presented which takes into consideration the situation of its neighbors. The controller gives preference to less fuel consuming vehicles, public transport vehicles and high priority vehicles. A traffic grid system is designed using Simevents Toolbox of Simulink with provisions for turning and random class of vehicles. The results obtained from the implementation of this fuzzy logic controller are tabulated against those corresponding to a conventional cyclic fixed time controller, vehicle actuated controller and a basic fuzzy logic controller (designed for isolated junction). Simulations are done for varying traffic conditions namely heavy, medium, light and random. With the performance criterion being the average waiting time of vehicles, it is shown that the use of this fuzzy logic controller results in a better performance.

Type : Research paper

Published : Volume-2,Issue-8


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