Abstract

As humanity has advanced, cars have become increasingly common on roads, and vehicle activity has skyrocketed. This shift has naturally created requirements for stop light systems to be implemented to control traffic flow through intersecting routes. This paper tackles the issues such as efficiency and pollution that arise due to the existence of these stop lights by exploring more efficient methods for a car to approach a stop light to save time and fuel. The different approaches are all basic logical methods tested in iterative simulations. I then found the best approach to travel from point A to point B when there is a stop light between the two points whose timing is dictated by a probability distribution.

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