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A reinforcement learning approach to vehicle coordination for structured advanced air mobility

Sabrullah Deniz Yufei Wu Yang Shi Zhenbo Wang

新能源与智能载运(英文)2025,Vol.3Issue(1):1-18,18.
新能源与智能载运(英文)2025,Vol.3Issue(1):1-18,18.DOI:10.1016/j.geits.2024.100157

A reinforcement learning approach to vehicle coordination for structured advanced air mobility

A reinforcement learning approach to vehicle coordination for structured advanced air mobility

Sabrullah Deniz 1Yufei Wu 1Yang Shi 1Zhenbo Wang1

作者信息

  • 1. Department of Mechanical,Aerospace,and Biomedical Engineering,The University of Tennessee,Knoxville,TN,37996,USA
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摘要

关键词

Advanced Air Mobility(AAM)/Urban Air Mobility(UAM)/Air Traffic Control(ATC)/Multi-Agent Reinforcement Learning(MARL)

Key words

Advanced Air Mobility(AAM)/Urban Air Mobility(UAM)/Air Traffic Control(ATC)/Multi-Agent Reinforcement Learning(MARL)

引用本文复制引用

Sabrullah Deniz,Yufei Wu,Yang Shi,Zhenbo Wang..A reinforcement learning approach to vehicle coordination for structured advanced air mobility[J].新能源与智能载运(英文),2025,3(1):1-18,18.

基金项目

This work was funded in part by the National Science Foundation(NSF)CAREER Award CMMI-2237215. (NSF)

新能源与智能载运(英文)

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