DocumentCode
66663
Title
Relocation Strategies and Algorithms for Free-Floating Car Sharing Systems
Author
Weikl, Simone ; Bogenberger, Klaus
Author_Institution
Traffic Eng., Munich Univ. of the Fed. Armed Forces, Neubiberg, Germany
Volume
5
Issue
4
fYear
2013
fDate
winter 2013
Firstpage
100
Lastpage
111
Abstract
During the last years so-called free-floating Car Sharing Systems became very popular. These systems in comparison to the conventional Car Sharing Systems allow short one-way trips. Today, the spatial distribution of vehicles within free-floating Car Sharing Systems is either self-organized, which means it is only dependent on the customer´s demand or in a few cases the positioning is manually controlled by system operators. None of the real-life free-floating Car Sharing Systems has a clear defined relocation strategy or is even online optimized based on the current demand. Within this paper several relocation strategies are introduced and categorized. For each category known relocation algorithms are described and evaluated. Also a new integrated two-step model for optimal vehicle positioning and relocation is described in detail. This new approach consists of an offline demand clustering that allows for the prediction of demand and thus the prediction of the optimal future state of spatially available vehicles. The online module of the approach measures the differences between optimal vehicle positioning and current positioning. An optimization algorithm finds optimal relocation strategies if necessary. The main focus of this paper is on the description of the Offline Demand Module.
Keywords
automobiles; optimisation; traffic engineering computing; customer demand; demand prediction; free-floating car sharing systems; integrated two-step model; offline demand clustering; offline demand module; online module; optimal relocation strategies; optimal vehicle positioning; optimization algorithm; relocation algorithms; short one-way trips; system operators; vehicle spatial distribution; Algorithm design and analysis; Intelligent vehicles; Maintenance engineering; Mobile radio mobility management; Optimization; Prediction algorithms;
fLanguage
English
Journal_Title
Intelligent Transportation Systems Magazine, IEEE
Publisher
ieee
ISSN
1939-1390
Type
jour
DOI
10.1109/MITS.2013.2267810
Filename
6646334
Link To Document