Document Details

Document Type : Thesis 
Document Title :
Jeddah City Ride-hailing Company Bus Routes Planning by Using Traffic Neural Network Design
تخطيط مسارات حافلات لشركة توجيه المركبات بمدينة جدة باستخدام تقنية الشبكة العصبية المرورية
 
Subject : Faculty of Science 
Document Language : Arabic 
Abstract : This study aims to discover the relationship between neural systems and their use and nature in optimizing public transportation in real life as well as studying the impact of different factors affecting the bus services using the questionnaire tool. 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 in order to help us find an optimized solution but yet never the ultimate optimization. Applying an intelligent design similar to the human neural system into real life will deliver an ultimate solution to such a problem. Applying a traffic simulation model through a neural networking system to Jeddah’s traffic platform gave us the chance to reach an optimized map/network for the public transportation services with a clear stations/stops numbers and real-life path/lane to be followed. 
Supervisor : Dr. Ammar Y. Alqahtani 
Thesis Type : Master Thesis 
Publishing Year : 1443 AH
2022 AD 
Added Date : Wednesday, January 25, 2023 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
وليد نواف نجمNajem, Waleed ResearcherMaster 

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