Literature by the same author
plus at Google Scholar

Bibliografische Daten exportieren
 

Fake It Till You Make It : Synthetic Data for Emerging Carsharing Programs

Title data

Albrecht, Tobias ; Keller, Robert ; Rebholz, Dominik ; Röglinger, Maximilian:
Fake It Till You Make It : Synthetic Data for Emerging Carsharing Programs.
In: Transportation Research Part D: Transport and Environment. Vol. 127 (2024) . - 104067.
ISSN 1361-9209
DOI: https://doi.org/10.1016/j.trd.2024.104067

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
Projektgruppe WI Nachhaltiges Energiemanagement & Mobilität
No information
Projektgruppe WI Künstliche Intelligenz
No information

Abstract in another language

Carsharing is an integral part of the transformation toward flexible and sustainable mobility. New carsharing programs are entering the market to challenge large operators by offering innovative services. This study investigates the use of generative machine learning models for creating synthetic data to support carsharing decision–making when data access is limited. To this end, it explores the evaluation, selection, and implementation of leading-edge methods, such as generative adversarial networks (GANs) and variational autoencoders (VAEs), to generate synthetic tabular transaction data of carsharing trips. The study analyzes usage data of an emerging carsharing program that is expanding its services to include free-floating electric vehicles (EVs). The results show that augmenting real training data with synthetic samples improves predictive modeling of upcoming trips by up to 4.63%. These results support carsharing researchers and practitioners in generating and leveraging synthetic mobility data to develop solutions to real-world decision support problems in carsharing.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Carsharing; Electric vehicle; Generative adversarial network; Machine learning; Shared mobility; Synthetic data
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management > Chair Information Systems and Value-Based Business Process Management - Univ.-Prof. Dr. Maximilian Röglinger
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT
Research Institutions > Affiliated Institutes > FIM Research Center for Information Management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 19 Feb 2024 08:26
Last Modified: 19 Feb 2024 08:26
URI: https://eref.uni-bayreuth.de/id/eprint/88639