Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):

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 Seiten.

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.