Measurement of Regional Electric Vehicle Adoption Using Multiagent Deep Reinforcement Learning

Measurement of Regional Electric Vehicle Adoption Using Multiagent Deep Reinforcement Learning

This study explores the socioeconomic disparities observed in the early adoption of Electric Vehicles (EVs) in the United States. A multiagent deep reinforcement learning-based policy simulator was developed to address the disparities. The model, tested using data from Austin, Texas, indicates that...

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Bibliographic Details
Main Authors: Seung Jun Choi, Junfeng Jiao
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Applied Sciences
Subjects:
electric vehicle
incentive
subsidy
equity
reinforcement learning
Online Access:https://www.mdpi.com/2076-3417/14/5/1826

Internet

https://www.mdpi.com/2076-3417/14/5/1826

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