Jeddah City Ride-hailing Company Bus Routes Planning by Using Traffic Neural Network Design

Abstract

This study aims to discover the relationship between neural systems and their use and nature in optimizing public transportation in real life. As neural networking system in the human body represents a smooth delivery and reception of data between the neural joints, in similarity to public transportation delivering public to multiple points/zones. Today's simulation systems depend on simulating real life to help us find an optimized solution but never the ultimate optimization. Applying an intelligent design like the human neural system into real life will deliver an ultimate solution to such a problem. Applying a neural networking system to Jeddah's traffic platform allowed us to reach an optimized map/network for the public transportation services with clear stations/stops numbers and real-life path/lane to be followed.