Fuzzy logic controlled adaptive scheduling of public utility buses in Metro Manila

Tactical transit planning is a crucial task in transportation industry. It mainly concentrates in the scheduling and setting of trip frequencies. One way of solving the scheduling pattern is the selection of the optimal dispatching interval of the transit system. This paper aims to create an adaptiv...

Full description

Saved in:
Bibliographic Details
Main Authors: Escolano, Cyrill O., Dadios, Elmer P., De La Salle University, Manila
Format: text
Published: Animo Repository 2016
Subjects:
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2414
https://animorepository.dlsu.edu.ph/context/faculty_research/article/3413/type/native/viewcontent
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-3413
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:faculty_research-34132021-08-31T01:12:51Z Fuzzy logic controlled adaptive scheduling of public utility buses in Metro Manila Escolano, Cyrill O. Dadios, Elmer P. De La Salle University, Manila Tactical transit planning is a crucial task in transportation industry. It mainly concentrates in the scheduling and setting of trip frequencies. One way of solving the scheduling pattern is the selection of the optimal dispatching interval of the transit system. This paper aims to create an adaptive scheduling and dispatching of public utility buses plying along EDSA. A fuzzy logic controller is designed based on the passenger and vehicle data. The self-adaptive controller will decide for the best dispatch interval of public buses from terminals based on given fuzzy sets or conditions. It seeks to choose solution in such a way that the travel time of passengers and number of buses running along EDSA are minimized while the operational constraints such as the traffic demand, departure time and maximum (minimum) headway are satisfied. The fuzzy logic controller is developed using Matlab. Effectiveness, accuracy and robustness of the system are evident in the results. © 2015 IEEE. 2016-01-25T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/2414 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3413/type/native/viewcontent Faculty Research Work Animo Repository Transportation--Philippines--Metro Manila Scheduling Transportation, Automotive—Philippines--Dispatching Manufacturing Mechanical 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 Transportation--Philippines--Metro Manila
Scheduling
Transportation, Automotive—Philippines--Dispatching
Manufacturing
Mechanical Engineering
spellingShingle Transportation--Philippines--Metro Manila
Scheduling
Transportation, Automotive—Philippines--Dispatching
Manufacturing
Mechanical Engineering
Escolano, Cyrill O.
Dadios, Elmer P.
De La Salle University, Manila
Fuzzy logic controlled adaptive scheduling of public utility buses in Metro Manila
description Tactical transit planning is a crucial task in transportation industry. It mainly concentrates in the scheduling and setting of trip frequencies. One way of solving the scheduling pattern is the selection of the optimal dispatching interval of the transit system. This paper aims to create an adaptive scheduling and dispatching of public utility buses plying along EDSA. A fuzzy logic controller is designed based on the passenger and vehicle data. The self-adaptive controller will decide for the best dispatch interval of public buses from terminals based on given fuzzy sets or conditions. It seeks to choose solution in such a way that the travel time of passengers and number of buses running along EDSA are minimized while the operational constraints such as the traffic demand, departure time and maximum (minimum) headway are satisfied. The fuzzy logic controller is developed using Matlab. Effectiveness, accuracy and robustness of the system are evident in the results. © 2015 IEEE.
format text
author Escolano, Cyrill O.
Dadios, Elmer P.
De La Salle University, Manila
author_facet Escolano, Cyrill O.
Dadios, Elmer P.
De La Salle University, Manila
author_sort Escolano, Cyrill O.
title Fuzzy logic controlled adaptive scheduling of public utility buses in Metro Manila
title_short Fuzzy logic controlled adaptive scheduling of public utility buses in Metro Manila
title_full Fuzzy logic controlled adaptive scheduling of public utility buses in Metro Manila
title_fullStr Fuzzy logic controlled adaptive scheduling of public utility buses in Metro Manila
title_full_unstemmed Fuzzy logic controlled adaptive scheduling of public utility buses in Metro Manila
title_sort fuzzy logic controlled adaptive scheduling of public utility buses in metro manila
publisher Animo Repository
publishDate 2016
url https://animorepository.dlsu.edu.ph/faculty_research/2414
https://animorepository.dlsu.edu.ph/context/faculty_research/article/3413/type/native/viewcontent
_version_ 1709757638537904128