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Optimizing fleet relocation operations for one-way electric car-sharing systems

Research output: Contribution to conference - Without ISBN/ISSN Abstractpeer-review

Published

Standard

Optimizing fleet relocation operations for one-way electric car-sharing systems. / Boyacı, Burak; Geroliminis, Nikolas; Zografos, K. G.
2014. Abstract from VeRoLog 2014 - EURO Working Group on Vehicle Routing and Logistics Optimization, Oslo, Norway.

Research output: Contribution to conference - Without ISBN/ISSN Abstractpeer-review

Harvard

Boyacı, B, Geroliminis, N & Zografos, KG 2014, 'Optimizing fleet relocation operations for one-way electric car-sharing systems', VeRoLog 2014 - EURO Working Group on Vehicle Routing and Logistics Optimization, Oslo, Norway, 22/06/14 - 25/06/14.

APA

Boyacı, B., Geroliminis, N., & Zografos, K. G. (2014). Optimizing fleet relocation operations for one-way electric car-sharing systems. Abstract from VeRoLog 2014 - EURO Working Group on Vehicle Routing and Logistics Optimization, Oslo, Norway.

Vancouver

Boyacı B, Geroliminis N, Zografos KG. Optimizing fleet relocation operations for one-way electric car-sharing systems. 2014. Abstract from VeRoLog 2014 - EURO Working Group on Vehicle Routing and Logistics Optimization, Oslo, Norway.

Author

Boyacı, Burak ; Geroliminis, Nikolas ; Zografos, K. G. / Optimizing fleet relocation operations for one-way electric car-sharing systems. Abstract from VeRoLog 2014 - EURO Working Group on Vehicle Routing and Logistics Optimization, Oslo, Norway.

Bibtex

@conference{eb45593a43574246aa47c09e8a524f3f,
title = "Optimizing fleet relocation operations for one-way electric car-sharing systems",
abstract = "Car-sharing systems provide an attractive transportation alternative to their users with beneficial societal, environmental, and energy impacts. Alternative types of operational concepts of car-sharing systems have been proposed that are in operation around the world. One of these operational concepts allows for vehicles to be dropped at any station. The one-way car-sharing systems offer significant advantages to the users due to their flexibility. However, this flexibility may lead to accumulation and shortage of vehicles at certain stations that have limited capacity. To cope with this problem, operators of one-way car-sharing systems need to perform costly relocation operations. Electric vehicles apply an additional constraint of charging levels in the operational framework.This research is focused on the modelling of vehicle relocation decisions of one-way electric car-sharing systems. A MILP formulation is proposed in order to optimally relocate vehicles and personnel among the system stations, and to optimally assign relocation personnel to shifts. The proposed model is solved using data from Nice, France and provided the opportunity to examine the trade-off between operational cost and vehicle availability. ",
keywords = "car-sharing, vehicle relocation, Scheduling",
author = "Burak Boyacı and Nikolas Geroliminis and Zografos, {K. G.}",
year = "2014",
month = jun,
day = "22",
language = "English",
note = "VeRoLog 2014 - EURO Working Group on Vehicle Routing and Logistics Optimization ; Conference date: 22-06-2014 Through 25-06-2014",

}

RIS

TY - CONF

T1 - Optimizing fleet relocation operations for one-way electric car-sharing systems

AU - Boyacı, Burak

AU - Geroliminis, Nikolas

AU - Zografos, K. G.

PY - 2014/6/22

Y1 - 2014/6/22

N2 - Car-sharing systems provide an attractive transportation alternative to their users with beneficial societal, environmental, and energy impacts. Alternative types of operational concepts of car-sharing systems have been proposed that are in operation around the world. One of these operational concepts allows for vehicles to be dropped at any station. The one-way car-sharing systems offer significant advantages to the users due to their flexibility. However, this flexibility may lead to accumulation and shortage of vehicles at certain stations that have limited capacity. To cope with this problem, operators of one-way car-sharing systems need to perform costly relocation operations. Electric vehicles apply an additional constraint of charging levels in the operational framework.This research is focused on the modelling of vehicle relocation decisions of one-way electric car-sharing systems. A MILP formulation is proposed in order to optimally relocate vehicles and personnel among the system stations, and to optimally assign relocation personnel to shifts. The proposed model is solved using data from Nice, France and provided the opportunity to examine the trade-off between operational cost and vehicle availability.

AB - Car-sharing systems provide an attractive transportation alternative to their users with beneficial societal, environmental, and energy impacts. Alternative types of operational concepts of car-sharing systems have been proposed that are in operation around the world. One of these operational concepts allows for vehicles to be dropped at any station. The one-way car-sharing systems offer significant advantages to the users due to their flexibility. However, this flexibility may lead to accumulation and shortage of vehicles at certain stations that have limited capacity. To cope with this problem, operators of one-way car-sharing systems need to perform costly relocation operations. Electric vehicles apply an additional constraint of charging levels in the operational framework.This research is focused on the modelling of vehicle relocation decisions of one-way electric car-sharing systems. A MILP formulation is proposed in order to optimally relocate vehicles and personnel among the system stations, and to optimally assign relocation personnel to shifts. The proposed model is solved using data from Nice, France and provided the opportunity to examine the trade-off between operational cost and vehicle availability.

KW - car-sharing

KW - vehicle relocation

KW - Scheduling

M3 - Abstract

T2 - VeRoLog 2014 - EURO Working Group on Vehicle Routing and Logistics Optimization

Y2 - 22 June 2014 through 25 June 2014

ER -