Software-based bus dispatching system for Epifanio Delos Santos Avenue

College

Gokongwei College of Engineering

Department/Unit

Civil Engineering

Document Type

Conference Proceeding

Source Title

8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015

Publication Date

1-25-2016

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. © 2015 IEEE.

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Digitial Object Identifier (DOI)

10.1109/HNICEM.2015.7393238

Disciplines

Transportation Engineering

Keywords

Transportation, Automotive—Philippines--Metro Manila--Dispatching--Automation; Neural networks (Computer science); Intelligent agents (Computer software)

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