A neural network model of optimal scheduling system of public utility buses in Epifanio Delos Santos Avenue (EDSA)
College
Gokongwei College of Engineering
Department/Unit
Manufacturing Engineering and Management
Document Type
Conference Proceeding
Source Title
8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015
First Page
1
Last Page
5
Publication Date
12-2015
Abstract
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.
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Digitial Object Identifier (DOI)
10.1109/HNICEM.2015.7393235
Recommended Citation
Escolano, C. O., Dadios, E. P., & Fillone, A. D. (2015). A neural network model of optimal scheduling system of public utility buses in Epifanio Delos Santos Avenue (EDSA). 8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015, 1-5. https://doi.org/10.1109/HNICEM.2015.7393235
Disciplines
Manufacturing | Transportation Engineering
Keywords
Intelligent transportation systems--Philippines--Metro-Manila; Local transit accessibility--Philippines--Metro Manila
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
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