Software-based bus dispatching system for Epifanio Delos Santos Avenue

• Main Authors: Intal, Ramon Christhoper D.J., Dadios, Elmer Jose P., Fillone, Alexis M.
• Format: text
• Published: Animo Repository 2016
• Subjects: Transportation, Automotive—Philippines > Metro Manila > Dispatching > Automation; Neural networks (Computer science); Intelligent agents (Computer software); Transportation Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/1873; https://animorepository.dlsu.edu.ph/context/faculty_research/article/2872/type/native/viewcontent
• Institution: De La Salle University

In this study a Software-based Artificial Intelligence (AI) System and Neural Network (NN) System were combined to achieve a highly responsive and a self-learning machine capable in predicting the dispatch time and scheduling of buses in Epifanio Delos Santos Avenue (EDSA) which is a congested road in Metro Manila. The AI system is a software-based program that can learn through data gathering and use its pre-defined rules. The NN system used the learned data generated by the AI system to do a quick determination of bus schedule. © 2015 IEEE.