Smart Traffic Light System by Using Artificial Intelligence

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S. S. ZIA
M. NASEEM
I. MALA
M. TAHIR
T. J. A. MUGHAL
T. MUBEEN

Abstract

Traffic congestion is one of the most significant problems in cities rapidly growing due to increased population and urbanization rates. As a consequence stress emerging due to air and noise pollution and fuel consumption make city life more difficult. Basic traffic lights work through one of the two simple mechanisms one is pre- established timing plans that regulate green red cycles while other is pavement loop detectors which can tell when a car is waiting for a green. With heavy traffic in multiple directions and variable fluctuation these mechanisms are way too primitive for urban cities like Karachi. Traffic lights is just like smartphones or any electronics which need to evolve. These days we have cameras and wireless capability of detecting how many cars are passing and when they're passing. Once we have gathered this information live from the traffic stream the problem just becomes a big math equation where we're just looking for optimal green-red distribution and like any optimization problem the answer is intuitively simple, let artificial intelligence to take over.

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How to Cite
S. S. ZIA, M. NASEEM, I. MALA, M. TAHIR, T. J. A. MUGHAL, & T. MUBEEN. (2020). Smart Traffic Light System by Using Artificial Intelligence . Sindh University Research Journal - SURJ (Science Series), 50(4). Retrieved from https://sujo.usindh.edu.pk/index.php/SURJ/article/view/1112
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