Journal Title
Title of Journal: Appl Intell
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Abbravation: Applied Intelligence
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Authors: Alper Aksaç Erkam Uzun Tansel Özyer
Publish Date: 2011/04/19
Volume: 36, Issue: 3, Pages: 698-720
Abstract
Traffic lights are installed at intersections mostly for traffic management Traffic signals turn on during the amount of time determined Intelligent traffic management systems emerge as a need to handle the dynamicity of traffic These systems are first implemented on simulators in order to mimic the real life situations before realizationYet we have implemented a real time traffic simulator with an adaptive fuzzy inference algorithm that arranges the foreseen light signal duration It changes the time duration of lights depending on waiting vehicles behind green and red lights at crossroad The simulation has also been supported with real time graphical visualization Given a scenario it creates random traffic flows according to specified parameters Next obtained results have been interpreted in the simulation environmentAccording to inferences from adaptive environment TSK TakagiSugenoKang and Mamdani models have also been implemented to give baselines for verification Several experiments have been conducted and compared against classical techniques such as Webster 1958 Road research technical paper No 39 and HCM 2000 TRB special report 209 statistically to demonstrate the effectiveness of the proposed method
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