A METAHEURISTICS BASED SIMULATION TOOL TO OPTIMIZE DEMAND RESPONSIVE TRANSPORTATION SYSTEMS

Eneko Osaba, Pablo Fernandez, Roberto Carballedo, Asier Perallos

Abstract

Public passenger transport is an important area that affects our quality of life. The design of routes and frequencies of such systems is very important to ensure their economic viability. The work presented in this paper focuses on the design of a software tool that assists in the creation of routes and schedules of passenger transport systems. For this, we have developed an application that is based on evolutionary computing techniques to simulate passenger demand and adjust the routes and frequency of the services to meet those demands. The result of work done is a software tool, and a metaheuristic algorithm that can be used for solving optimization problems.

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Paper Citation


in Harvard Style

Osaba E., Fernandez P., Carballedo R. and Perallos A. (2011). A METAHEURISTICS BASED SIMULATION TOOL TO OPTIMIZE DEMAND RESPONSIVE TRANSPORTATION SYSTEMS . In Proceedings of the 6th International Conference on Software and Database Technologies - Volume 2: ICSOFT, ISBN 978-989-8425-77-5, pages 384-389. DOI: 10.5220/0003499803840389


in Bibtex Style

@conference{icsoft11,
author={Eneko Osaba and Pablo Fernandez and Roberto Carballedo and Asier Perallos},
title={A METAHEURISTICS BASED SIMULATION TOOL TO OPTIMIZE DEMAND RESPONSIVE TRANSPORTATION SYSTEMS},
booktitle={Proceedings of the 6th International Conference on Software and Database Technologies - Volume 2: ICSOFT,},
year={2011},
pages={384-389},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003499803840389},
isbn={978-989-8425-77-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Software and Database Technologies - Volume 2: ICSOFT,
TI - A METAHEURISTICS BASED SIMULATION TOOL TO OPTIMIZE DEMAND RESPONSIVE TRANSPORTATION SYSTEMS
SN - 978-989-8425-77-5
AU - Osaba E.
AU - Fernandez P.
AU - Carballedo R.
AU - Perallos A.
PY - 2011
SP - 384
EP - 389
DO - 10.5220/0003499803840389