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  4. Learning How to Price Charging in Electric Ride-Hailing Markets
 
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conference paper

Learning How to Price Charging in Electric Ride-Hailing Markets

Maljkovic, Marko  
•
Nilsson, Gustav  
•
Geroliminis, Nikolas  
January 1, 2023
2023 62Nd Ieee Conference On Decision And Control, Cdc
62nd IEEE Conference on Decision and Control (CDC)

With the electrification of ride-hailing fleets, there will be a need to incentivize where and when the ride-hailing vehicles should charge. In this work, we assume that a central authority wants to control the distribution of the vehicles and can do so by selecting charging prices. Since there will likely be more than one ride-hailing company in the market, we model the problem as a single-leader multiple-follower Stackelberg game. The followers, i.e., the companies, compete about the charging resources under given prices provided by the leader. We present a learning algorithm based on the concept of contextual bandits that allows the central authority to find an efficient pricing strategy. We also show how the exploratory phase of the learning can be improved if the leader has some partial knowledge about the companies' objective functions. The efficiency of the proposed algorithm is demonstrated in a simulated case study for the city of Shenzhen, China.

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Type
conference paper
DOI
10.1109/CDC49753.2023.10383750
Web of Science ID

WOS:001166433802097

Author(s)
Maljkovic, Marko  
•
Nilsson, Gustav  
•
Geroliminis, Nikolas  
Corporate authors
IEEE
Date Issued

2023-01-01

Publisher

IEEE

Publisher place

New York

Published in
2023 62Nd Ieee Conference On Decision And Control, Cdc
ISBN of the book

979-8-3503-0124-3

Start page

3136

End page

3141

Subjects

Technology

•

Game

Peer reviewed

REVIEWED

Written at

EPFL

Event nameEvent placeEvent date
62nd IEEE Conference on Decision and Control (CDC)

Singapore, SINGAPORE

DEC 13-15, 2023

FunderGrant Number

Swiss National Science Foundation under NCCR Automation

51NF40 180545

Available on Infoscience
April 3, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/206800
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