Towards greener airport surface operations: a reinforcement learning approach for autonomous taxiing

Towards greener airport surface operations: a reinforcement learning approach for autonomous taxiing

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This study proposes an autonomous aircraft taxi-agent that can be used to recommend the pilot the optimal speed profile to achieve optimal fuel burn and to arrive on time at the target position on the taxiway while considering potential interactions with surrounding traffic. The problem is modeled a...

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Bibliographic Details
Main Authors: Tran, Thanh-Nam, Pham Duc-Thinh, Alam, Sameer
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference Paper
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Engineering::Civil engineering::Transportation
Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
Autonomous Taxi
Reinforcement Learning
Fuel Burn
Optimal Speed
Online Access:https://hdl.handle.net/10356/162776
https://www.jstage.jst.go.jp/browse/-char/en
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