Title :
Software-based bus dispatching system for Epifanio Delos Santos Avenue
Author :
Ramon Christhoper DJ. Intal;Elmer P. Dadios;Alexis M. Fillone
Author_Institution :
Gokongwei College of Engineering, De La Salle University Manila, Taft Ave., Philippines
Abstract :
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.
Keywords :
"Artificial intelligence","Schedules","Artificial neural networks","Biological neural networks","Training data","Testing"
Conference_Titel :
Humanoid, Nanotechnology, Information Technology,Communication and Control, Environment and Management (HNICEM), 2015 International Conference on
DOI :
10.1109/HNICEM.2015.7393238
