Imperial College London
Alternate

Panagiotis Angeloudis

Faculty of Engineering, Department of Civil and Environmental Engineering

Reader in Transport Systems and Logistics
 
 
 
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Contact

 

+44 (0)20 7594 5986p.angeloudis Website

 
 
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Location

 

337Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Anastasiadis:2021:10.3390/su13010168,
author = {Anastasiadis, E and Angeloudis, P and Ainalis, D and Ye, Q and Hsu, P-Y and Karamanis, R and Escribano, Macias J and Stettler, M},
doi = {10.3390/su13010168},
journal = {Sustainability},
title = {On the selection of charging facility locations for EV-based ride-hailing services: a computational case study},
url = {http://dx.doi.org/10.3390/su13010168},
volume = {13},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The uptake of Electric Vehicles (EVs) is rapidly changing the landscape of urban mobility services. Transportation Network Companies (TNCs) have been following this trend by increasing the number of EVs in their fleets. Recently, major TNCs have explored the prospect of establishing privately owned charging facilities that will enable faster and more economic charging. Given the scale and complexity of TNC operations, such decisions need to consider both the requirements of TNCs and local planning regulations. Therefore, an optimisation approach is presented to model the placement of CSs with the objective of minimising the empty time travelled to the nearest CS for recharging as well as the installation cost. An agent based simulation model has been set in the area of Chicago to derive the recharging spots of the TNC vehicles, and in turn derive the charging demand. A mathematical formulation for the resulting optimisation problem is provided alongside a genetic algorithm that can produce solutions for large problem instances. Our results refer to a representative set of the total data for Chicago and indicate that nearly 180 CSs need to be installed to handle the demand of a TNC fleet of 3000 vehicles.
AU  - Anastasiadis,E
AU  - Angeloudis,P
AU  - Ainalis,D
AU  - Ye,Q
AU  - Hsu,P-Y
AU  - Karamanis,R
AU  - Escribano,Macias J
AU  - Stettler,M
DO  - 10.3390/su13010168
PY  - 2021///
SN  - 2071-1050
TI  - On the selection of charging facility locations for EV-based ride-hailing services: a computational case study
T2  - Sustainability
UR  - http://dx.doi.org/10.3390/su13010168
UR  - http://hdl.handle.net/10044/1/86364
VL  - 13
ER  -
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