A dispatching model for a railway transit system with finite capacity

The formulated model is an optimal train dispatching policy for Railway Transit System that considers the number of passengers at a particular station and the capacity of each train given a definite time interval. Moreover, it assumes constant travel time, headway, stopping time and the available nu...

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Main Authors: Austria, Agnes P., Galarosa, Marielle D., Nebre, Sharon R.
Format: text
Language:English
Published: Animo Repository 1998
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Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/9870
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Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etd_bachelors-10515
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-105152021-08-19T06:14:50Z A dispatching model for a railway transit system with finite capacity Austria, Agnes P. Galarosa, Marielle D. Nebre, Sharon R. The formulated model is an optimal train dispatching policy for Railway Transit System that considers the number of passengers at a particular station and the capacity of each train given a definite time interval. Moreover, it assumes constant travel time, headway, stopping time and the available number of passengers to board and alight a station. It is subjected to time, sequencing, succeeding stop, and capacity constraint. This model aims to maximize the number of passengers that will be served for a specific train operation. A mixed integer non-linear programming is applied for the formulation of the mathematical model. The software GAMS is used to validate the model. However, the model inputted was linearized thus, there were new sets of variable and constraints introduced. Moreover, the data used to validate the model was from the Light Railway Transit System (LRT). The sensitivity analysis of the model is made by changing the values of the parameters t (operating time), Qij (average number of passengers that board) and Rij (average number of passengers that alight). Also, a computer software is generated to be able to utilize the proposed model readily. It has been concluded that as the number of passengers to board, Qij and alight a station Rij and operating time, o are increased, the objective function also increases. Train chooses the station that tends to give a greater number of passenger served. 1998-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/9870 Bachelor's Theses English Animo Repository Railroads Railroad engineering Programming (Mathematics) Electric railroads Railroads--Train load
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
language English
topic Railroads
Railroad engineering
Programming (Mathematics)
Electric railroads
Railroads--Train load
spellingShingle Railroads
Railroad engineering
Programming (Mathematics)
Electric railroads
Railroads--Train load
Austria, Agnes P.
Galarosa, Marielle D.
Nebre, Sharon R.
A dispatching model for a railway transit system with finite capacity
description The formulated model is an optimal train dispatching policy for Railway Transit System that considers the number of passengers at a particular station and the capacity of each train given a definite time interval. Moreover, it assumes constant travel time, headway, stopping time and the available number of passengers to board and alight a station. It is subjected to time, sequencing, succeeding stop, and capacity constraint. This model aims to maximize the number of passengers that will be served for a specific train operation. A mixed integer non-linear programming is applied for the formulation of the mathematical model. The software GAMS is used to validate the model. However, the model inputted was linearized thus, there were new sets of variable and constraints introduced. Moreover, the data used to validate the model was from the Light Railway Transit System (LRT). The sensitivity analysis of the model is made by changing the values of the parameters t (operating time), Qij (average number of passengers that board) and Rij (average number of passengers that alight). Also, a computer software is generated to be able to utilize the proposed model readily. It has been concluded that as the number of passengers to board, Qij and alight a station Rij and operating time, o are increased, the objective function also increases. Train chooses the station that tends to give a greater number of passenger served.
format text
author Austria, Agnes P.
Galarosa, Marielle D.
Nebre, Sharon R.
author_facet Austria, Agnes P.
Galarosa, Marielle D.
Nebre, Sharon R.
author_sort Austria, Agnes P.
title A dispatching model for a railway transit system with finite capacity
title_short A dispatching model for a railway transit system with finite capacity
title_full A dispatching model for a railway transit system with finite capacity
title_fullStr A dispatching model for a railway transit system with finite capacity
title_full_unstemmed A dispatching model for a railway transit system with finite capacity
title_sort dispatching model for a railway transit system with finite capacity
publisher Animo Repository
publishDate 1998
url https://animorepository.dlsu.edu.ph/etd_bachelors/9870
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