Optimal scheduling of buses along Epifanio Delos Santos Avenue (EDSA), Metro Manila using genetic algorithm

Optimal scheduling of buses along Epifanio Delos Santos Avenue (EDSA), Metro Manila using genetic algorithm

Optimization of public transport operation is an integral component of an intelligent transport system. This paper shows that Genetic Algorithm can be used in developing the optimum schedule for buses plying EDSA. In this paper, the fitness function measure covered maximizing the ratio of the total...

Full description

Saved in:
Bibliographic Details
Main Authors: Roquel, Krister Ian Daniel Z., Fillone, Alexis M., Dadios, Elmer P., Abad, Raymund Paolo B.
Format: text
Published: Animo Repository 2016
Subjects:
Transportation, Automotive—Philippines > Metro Manila > Dispatching
Buses—Philippines > Metro Manila
Scheduling—Philippines > Metro Manila
Transportation—Philippines > Metro Manila
Genetic algorithms
Transportation Engineering
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2416
https://animorepository.dlsu.edu.ph/context/faculty_research/article/3415/type/native/viewcontent
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
Description
Summary:Optimization of public transport operation is an integral component of an intelligent transport system. This paper shows that Genetic Algorithm can be used in developing the optimum schedule for buses plying EDSA. In this paper, the fitness function measure covered maximizing the ratio of the total additional revenue, over the total additional costs, both on the bus operators' and passengers' sides. Considering both parties' interests makes for a more holistic approach in developing the optimum public transport operation. © 2015 IEEE.

Similar Items