Universität zu Köln

Ahadi, Ramin, Ketter, Wolfgang, Collins, John and Daina, Nicolo . Cooperative Learning for Smart Charging of Shared Autonomous Vehicle Fleets. Transp. Sci.. CATONSVILLE: INFORMS. ISSN 0041-1655

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Abstract

We study the operational problem of shared autonomous electric vehicles that cooperate in providing on-demand mobility services while maximizing fleet profit and service quality. Therefore, we model the fleet operator and vehicles as interactive agents enriched with advanced decision-making aids. Our focus is on learning smart charging policies (when and where to charge vehicles) in anticipation of uncertain future demands to accommodate long charging times, restricted charging infrastructure, and time-varying electricity prices. We propose a distributed approach and formulate the problem as a semiMarkov decision process to capture its stochastic and dynamic nature. We use cooperative multiagent reinforcement learning with reshaped reward functions. The effectiveness and scalability of the proposed model are upgraded through deep learning. A mean-field approximation deals with environment instabilities, and hierarchical learning distinguishes high-level and low-level decisions. We evaluate our model using various numerical examples based on real data from ShareNow in Berlin, Germany. We show that the policies learned using our decentralized and dynamic approach outperform central static charging strategies. Finally, we conduct a sensitivity analysis for different fleet characteristics to demonstrate the proposed model's robustness and provide managerial insights into the impacts of strategic decisions on fleet performance and derived charging policies.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Ahadi, Ramin UNSPECIFIED UNSPECIFIED UNSPECIFIED Ketter, Wolfgang UNSPECIFIED UNSPECIFIED UNSPECIFIED Collins, John UNSPECIFIED UNSPECIFIED UNSPECIFIED Daina, Nicolo UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-681792
DOI:	10.1287/trsc.2022.1187
Journal or Publication Title:	Transp. Sci.
Publisher:	INFORMS
Place of Publication:	CATONSVILLE
ISSN:	0041-1655
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language OPERATIONS; OPTIMIZATION Multiple languages Operations Research & Management Science; Transportation; Transportation Science & Technology Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/68179