A neural network model of optimal scheduling system of public utility buses in Epifanio Delos Santos Avenue (EDSA)

A neural network model of optimal scheduling system of public utility buses in Epifanio Delos Santos Avenue (EDSA)

This paper presents the artificial neural network model for the transportation system in Epifanio Delos Santos Avenue. Intelligent transportation aims to optimize the transportation system in Metro Manila. It will enhance productivity among public commuter and bus companies. The goal of this model i...

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Main Authors: Escolano, Cyrill O., Dadios, Elmer Jose P., Fillone, Alexis D.
Format: text
Published: Animo Repository 2015
Subjects:
Intelligent transportation systems > Philippines > Metro-Manila
Local transit accessibility > Philippines > Metro Manila
Manufacturing
Transportation Engineering
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/1894
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Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-2893
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-28932024-03-25T02:43:59Z A neural network model of optimal scheduling system of public utility buses in Epifanio Delos Santos Avenue (EDSA) Escolano, Cyrill O. Dadios, Elmer Jose P. Fillone, Alexis D. This paper presents the artificial neural network model for the transportation system in Epifanio Delos Santos Avenue. Intelligent transportation aims to optimize the transportation system in Metro Manila. It will enhance productivity among public commuter and bus companies. The goal of this model is create an effective bus scheduling and dispatch system. This scheme will result in shorter waiting time for the passengers in every bus stop yielding a lessened travel time. Data from transportation survey will be the basis of the neural network model. MATLAB nftool is used in the development of the model. Levenburg-Marquardt backpropagation algorithm is employed in training data sets. The accuracy of the model is tested using Mean-Square Error and the reliability is measured using regression during testing. 2015-12-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/1894 info:doi/10.1109/HNICEM.2015.7393235 Faculty Research Work Animo Repository Intelligent transportation systems--Philippines--Metro-Manila Local transit accessibility--Philippines--Metro Manila Manufacturing Transportation Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Intelligent transportation systems--Philippines--Metro-Manila
Local transit accessibility--Philippines--Metro Manila
Manufacturing
Transportation Engineering
spellingShingle Intelligent transportation systems--Philippines--Metro-Manila
Local transit accessibility--Philippines--Metro Manila
Manufacturing
Transportation Engineering
Escolano, Cyrill O.
Dadios, Elmer Jose P.
Fillone, Alexis D.
A neural network model of optimal scheduling system of public utility buses in Epifanio Delos Santos Avenue (EDSA)
description This paper presents the artificial neural network model for the transportation system in Epifanio Delos Santos Avenue. Intelligent transportation aims to optimize the transportation system in Metro Manila. It will enhance productivity among public commuter and bus companies. The goal of this model is create an effective bus scheduling and dispatch system. This scheme will result in shorter waiting time for the passengers in every bus stop yielding a lessened travel time. Data from transportation survey will be the basis of the neural network model. MATLAB nftool is used in the development of the model. Levenburg-Marquardt backpropagation algorithm is employed in training data sets. The accuracy of the model is tested using Mean-Square Error and the reliability is measured using regression during testing.
format text
author Escolano, Cyrill O.
Dadios, Elmer Jose P.
Fillone, Alexis D.
author_facet Escolano, Cyrill O.
Dadios, Elmer Jose P.
Fillone, Alexis D.
author_sort Escolano, Cyrill O.
title A neural network model of optimal scheduling system of public utility buses in Epifanio Delos Santos Avenue (EDSA)
title_short A neural network model of optimal scheduling system of public utility buses in Epifanio Delos Santos Avenue (EDSA)
title_full A neural network model of optimal scheduling system of public utility buses in Epifanio Delos Santos Avenue (EDSA)
title_fullStr A neural network model of optimal scheduling system of public utility buses in Epifanio Delos Santos Avenue (EDSA)
title_full_unstemmed A neural network model of optimal scheduling system of public utility buses in Epifanio Delos Santos Avenue (EDSA)
title_sort neural network model of optimal scheduling system of public utility buses in epifanio delos santos avenue (edsa)
publisher Animo Repository
publishDate 2015
url https://animorepository.dlsu.edu.ph/faculty_research/1894
_version_ 1794553721795903488

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