B. Biesinger, B. Hu, M. Stubenschrott, U. Ritzinger, M. Prandtstetter:

"Station Planning by Simulating User Behavior for Electric Car-Sharing Systems";

Vortrag: EUROCAST 2017, Las Palmas de Gran Canaria, Spain; 19.02.2017 - 24.02.2017; in: "Computer Aided Systems Theory -- EUROCAST 2017", Computer Aided Systems Theory -- EUROCAST 2017; Springer Verlag, LNCS vol. 10671 (2018), ISBN: 978-3-319-74717-0; 8 S.

The planing of a full battery electric car sharing system involves

several strategic decisions. These decisions include the placement

of recharging stations, the number of recharging slots per station, and

the total number of cars. The evaluation of such decisions clearly depends

on the demand that is to be expected within the operational area

as well as the user behavior. In this work we model this as combinatorial

optimization problem and solve it heuristically using a variable neighborhood

search approach. For the solution evaluation we use a probability

model for the user behavior and approximate the expected pro t with

a Monte-Carlo method. The proposed algorithm is evaluated on a set of

benchmark instances based on real world data of Vienna, Austria. Computational

results show that by simulating user behavior the expected

pro t can increase signi cantly and that other methods assuming the

best case for user behavior are likely to overestimate the pro t.

Erstellt aus der Publikationsdatenbank des AIT Austrian Institute of Technology.