International Journal of Advanced Engineering Research and Applications (IJA-ERA) ISSN: 2454-2377 Volume – 6, Issue – 10/11/12, February/March/April – 2021 www.ijaera.org © 2021, IJA-ERA - All Rights Reserved 164 Jeddah City Ride-hailing Company Bus Routes Planning by Using Traffic Neural Network Design Waleed N. Najem 1 * and Ammar Y. Alqahtani 2 1 Student, MSc, Industrial Engineering Department, King Abdulaziz University, Jeddah, SA *Corresponding Author E-mail Id: wnajem0001@stu.kau.edu.sa 2 Associate Professor, Industrial Engineering Department, King Abdulaziz University, Jeddah, SA E-mail Id: aaylqahtani@kau.edu.sa 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. Keywords: Neural Network Design, Public Transportation, Optimization, Bus Routes Planning. I. INTRODUCTION Neural Networking System, defined as the system modeled on the human brain, has a similar process to the neural system operating in the brain. Today, the neural system is applied in multiple sectors and is used to solve real-life problems as it optimizes the solution in the simplest needed form. In public transportation, neural networking is used to optimize the final layout of stations and lanes used in the public transportation project. It helps minimize the number of less needed stations or enhance the most used lanes. This paper shows a specific description of using a neural networking system in Jeddah City. Saudi Arabia as a ride-hiling company bus project routing plan is based on the optimized layout of the neural networking system. This study aimed at analyzing and understanding the positive impact of using new technologies and problem-solving methodologies such as neural networking systems in providing solutions for real-life problems. Also, how the application of the neural networking system helps routing a clear map for the public transportation sector in Saudi Arabia in general and Jeddah city. Recently, The Ride-hailing Transportation Company has decided to expand its services by providing a new product and giving the consumers high quality, safe, and affordable transportation methods to help with cutting the daily costs. This product is labeled as "Bus." Since the beginning of the project, there have been challenges facing the company in implementing the product, stated as follows: a) The start of the program is based on launching the service in Jeddah City. Designing the routes were arbitrarily placed, and it was built on ill-conceived assumptions because of the data restrictions. This process resulted in a significant loss in the budget during the initial month after the trial/testing period. This bus service does not offer door-to-door pickups, which means the line's design is sensitive