Print Email Facebook Twitter The influence of a charging station’s location on its profitability [paper] Title The influence of a charging station’s location on its profitability [paper] Author Arnoldus, Matthijs (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Software Technology) Contributor Robu, Valentin (mentor) Lofi, C. (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2021-07-01 Abstract With the increasing number of electric vehicles onthe road, the routing problem has become morecomplex. As charging electric vehicles takes longerthan fueling non-electric vehicles, congestion canoccur at charging stations. This might lead to theshortest route not being the fastest route, due tolong waiting times at the stations. By commu-nicating the intentions of each vehicle, they canspread out over multiple stations. This paper in-vestigates the effect of such a routing system on theprofitability of charging stations in comparison toa more simple shortest-path algorithm. In particu-lar, the influence of a charging station’s location onits profitability has been researched for both rout-ing algorithms. In order to do this, a pricing modelhas been developed to extend the routing mod-els used for both the shortest-path algorithm andthe intention-based routing algorithm. Through-out several simulations, it became clear that for theshortest-path algorithm, more centralised stationsobtain a higher profit, whereas for the intention-based routing algorithm there were no significantdifferences in profitability between the more cen-tral stations, and the ones on longer routes. Subject EV routingGraph theoryPricing model To reference this document use: http://resolver.tudelft.nl/uuid:c17b2ecc-cbaa-4bc9-adb5-48ff492a100d Part of collection Student theses Document type student report Rights © 2021 Matthijs Arnoldus Files PDF Research_Paper_Matthijs_A ... noldus.pdf 508.9 KB Close viewer /islandora/object/uuid:c17b2ecc-cbaa-4bc9-adb5-48ff492a100d/datastream/OBJ/view