A Systematic Literature Review on Machine Learning in Shared Mobility-Reference-Cited by-同舟云学术

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A Systematic Literature Review on Machine Learning in Shared Mobility

Published:2023 Issue: Volume:4 Page:870-899
ISSN:2687-7813
Container-title:IEEE Open Journal of Intelligent Transportation Systems
language:
Short-container-title:IEEE Open J. Intell. Transp. Syst.

Author:

Teusch Julian¹^ORCID,Gremmel Jan Niklas²,Koetsier Christian³,Johora Fatema Tuj¹^ORCID,Sester Monika³^ORCID,Woisetschläger David M.²,Müller Jörg P.¹

Affiliation:

1. Institute of Informatics, Clausthal University of Technology, Clausthal-Zellerfeld, Germany

2. Chair of Services Management, Braunschweig Technical University, Braunschweig, Germany

3. Institute of Cartography and Geoinformatics, Leibniz University Hannover, Hannover, Germany

Funder

Lower Saxony Ministry of Science and Culture within the Lower Saxony “Vorab” of the Volkswagen Foundation

Center for Digital Innovations

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/8784355/9999144/10325362.pdf?arnumber=10325362

Reference313 articles.

1. Collisions in Freeway Traffic

2. Mobility as a service (MaaS): Charting a future context

3. Identifying and Planning for Group Travellers in On-demand Mobility Models

4. Utilization rate of the fleet: a novel performance metric for a novel shared mobility

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