An application of genetic algorithm in optimizing jeepney operations along Taft Avenue, Manila
College
Gokongwei College of Engineering
Department/Unit
Civil Engineering
Document Type
Conference Proceeding
Source Title
8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015
Publication Date
1-25-2016
Abstract
Effective transport service scheduling involves minimization of transit operating cost and maximization of generated revenue while meeting the demand for such service. This paper investigates the application of Genetic Algorithm in the optimization of Jeepney services along a busy section of their transit service routes. The main objective of this study is to improve transit service operations by minimizing travel and vehicle operating costs. The paper presented three types of services: Normal, Express A, and Express B. It was determined that a combination of the operation types would yield the smallest operating cost. Preference is still shown to Normal operation due to high passenger demand in the selected section during morning peak hours. Express services are more preferred during off-peak hours due to lower passenger demand. © 2015 IEEE.
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Digitial Object Identifier (DOI)
10.1109/HNICEM.2015.7393243
Recommended Citation
Abad, R. B., Fillone, A. M., Dadios, E. P., & Roquel, K. Z. (2016). An application of genetic algorithm in optimizing jeepney operations along Taft Avenue, Manila. 8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015 https://doi.org/10.1109/HNICEM.2015.7393243
Disciplines
Civil Engineering | Transportation Engineering
Keywords
Intelligent transportation systems--Philippines--Manila; Jeep automobile--Philippines--Manila; Transportation--Philippines--Manila; Genetic algorithms
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