Journal Article10.1287/TRSC.2015.0646
50th Anniversary Invited Article-Goods Distribution with Electric Vehicles: Review and Research Perspectives
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TL;DR: The aims of this survey paper are to provide transportation researchers an overview of the technological and marketing background needed to conduct research in this area, to present a survey of the existing research in the field, and to offer perspectives for future research.
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Abstract: Since the mid-2000s, electric vehicles have gained popularity in several countries even though their market share is still relatively low. However, most gains have been made in the area of passenger vehicles and most technical and scientific studies have been devoted to this case. By contrast, the potential of electric vehicular technology for goods distribution has received less attention. The issues related to the use of electric vehicles for goods distribution reveal a wide range of relevant research problems. The aims of this survey paper are to provide transportation researchers an overview of the technological and marketing background needed to conduct research in this area, to present a survey of the existing research in this field, and to offer perspectives for future research.
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Citations
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TL;DR: In this paper , the authors formulate an integrated arc-based model to minimize the total costs considering the power grid pressure cost and subsequently reformulate it into a two-stage model, for which they develop an effective solution method.
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Towards Smart Urban Freight Distribution Using Fleets of Modular Electric Vehicles
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- 25 Oct 2017
TL;DR: A comprehensive mathematical formulation is given in order to model the problem and the multiple constraints appeared due to the modularity, electric charging, time windows and capacity issues, and a memetic algorithm is designed for determining good quality solutions in reasonable computational times.
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Deploying Battery Swap Stations for Electric Freight Vehicles Based on Trajectory Data Analysis
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TL;DR: Li et al. as mentioned in this paper proposed a bi-objective model to deploy battery swap stations for electric freight vehicles (EFVs) based on big data analysis, which aimed to minimize the total cost of building battery swap station and maximize operational efficiency of EFVs.
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