I-TLS (Intelligent Traffic Light System) By Anatomizing Traffic Density
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 2
Abstract
Traffic congestion is emerging as one of the most prominent problems globally, which leads to fuel waste, environmental pollution as well as long and unpredictable commute times. This paper recommends that the main reason for traffic congestion is the use of hard-coded traffic light system that generates fixed length signal timings and to enhance the working of traffic light system a model "I-TLS", having two modules is proposed hereby, which aims to optimize the green light signal timings thereby reducing the traffic congestion. Taking into account a four-lane intersection, as a part of first module an ultrasonic sensor hc-sr04 is placed on each of the lane and with the use of Arduino Uno the traffic density for that lane is identified. The second module is FIS where firstly, the classification of this traffic density into three categories: high, medium, low is performed. And then, a fuzzy algorithm is designed to elongate the green light timing for lane having a higher density, downscale it for the lane having a lower density whereas avoid its allocation to the empty lane and this is developed in SIMULINK environment of MATLAB .
Authors and Affiliations
Aabha A Tiwari, Niyati H Thakar, Urja S Shah, Vidhee M Bhavsar, Prof. Sunit N Parmar
Keywords
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