Traffic lights have and always will be necessary for the safety of the traffic on the road. However, the time cycles of these traffic lights are based on premeditated computations and not real time data. These scheduling methods can often be inefficient and therefore lead to traffic congestions. In this paper, we propose three different Smart Traffic Light Scheduling (STLS) algorithms that were tested on our Isolated Intersection Simulator (IIS) Java platform. IIS simulates real-life traffic flow on an at-grade junction with different traffic light scheduling algorithms. We integrate a heuristic to our proposed algorithms that takes into account, not only the density of the junctions like traditional schemes, but also the waiting time of the vehicles. In addition, it can also give the right of way to emergency vehicles that need immediate passage through the intersection. Throughout extensive simulations, IIS displays the efficiency of our different STLS algorithms in terms of managing the intersection and avoiding congestions. For instance, our simulations demonstrated a tremendous decrease in the average delay time when compared to regular traffic lights. In fact, cars on the intersection using our STLS algorithms performs 3 times better. On top of this, thanks to our algorithms, the average speed of the cars is nearly doubled and the number of static cars on average are halved.


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    Title :

    Smart Traffic Light Scheduling Algorithms


    Contributors:


    Publication date :

    2019-12-01


    Size :

    798864 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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