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Authors: Michal Koháni 1 ; Peter Czimmermann 1 ; Michal Váňa 1 ; Matej Cebecauer 2 and Ľuboš Buzna 1

Affiliations: 1 University of Žilina, Slovak Republic ; 2 KTH Royal Institute of Technology, Sweden

Keyword(s): Electric Vehicles, Charging Infrastructure, Urban Areas, GPS Traces.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Linear Programming ; Methodologies and Technologies ; Network Optimization ; Operational Research ; Optimization ; OR in Transportation ; Pattern Recognition ; Software Engineering ; Symbolic Systems

Abstract: Here, we propose a method to design a charging infrastructure for a fleet of electric vehicles such as a fleet of taxicabs, fleet of vans used in the city logistics or a fleet of shared vehicles, operating in large urban areas. Design of a charging infrastructure includes decisions about charging stations location and number of charging points at each station. It is assumed that the fleet is originally composed of vehicles equipped with an internal combustion engine, however, the operator is wishing to replace them with fully electric vehicles. To avoid an interaction with other electric vehicles it is required to design a private network of charging stations that will be specifically adapted to the operation of a fleet. It is often possible to use GPS traces of vehicles characterizing actual travel patterns of individual vehicles. First, to derive a suitable set of candidate locations from GPS data, we propose a practical procedure where the outcomes can be simply controlled by sett ing few parameter values. Second, we formulate a mathematical model that combines location and scheduling decisions to ensure that requirements of vehicles can be satisfied. We validate the applicability of our approach by applying it to the data characterizing a large taxicab fleet operating in the city of Stockholm. Our results indicate that this approach can be used to estimate the minimal requirements to set up the charging infrastructure. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Koháni, M.; Czimmermann, P.; Váňa, M.; Cebecauer, M. and Buzna, Ľ. (2017). Designing Charging Infrastructure for a Fleet of Electric Vehicles Operating in Large Urban Areas. In Proceedings of the 6th International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-218-9; ISSN 2184-4372, SciTePress, pages 360-368. DOI: 10.5220/0006194403600368

@conference{icores17,
author={Michal Koháni. and Peter Czimmermann. and Michal Váňa. and Matej Cebecauer. and Ľuboš Buzna.},
title={Designing Charging Infrastructure for a Fleet of Electric Vehicles Operating in Large Urban Areas},
booktitle={Proceedings of the 6th International Conference on Operations Research and Enterprise Systems - ICORES},
year={2017},
pages={360-368},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006194403600368},
isbn={978-989-758-218-9},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Operations Research and Enterprise Systems - ICORES
TI - Designing Charging Infrastructure for a Fleet of Electric Vehicles Operating in Large Urban Areas
SN - 978-989-758-218-9
IS - 2184-4372
AU - Koháni, M.
AU - Czimmermann, P.
AU - Váňa, M.
AU - Cebecauer, M.
AU - Buzna, Ľ.
PY - 2017
SP - 360
EP - 368
DO - 10.5220/0006194403600368
PB - SciTePress