Multi-Agent Deep Reinforcement Learning for Mix-mode Runway Sequencing-Reference-Cited by-同舟云学术

Multi-Agent Deep Reinforcement Learning for Mix-mode Runway Sequencing

Published:2022-10-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
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Author:

Limin Shi¹,Due-Thinh Pham¹,Alam Sameer¹

Affiliation:

1. School of Mechanical and Aerospace Engineering, Nanyang Technological University,Singapore

Funder

National Research Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9921415/9921739/09922221.pdf?arnumber=9922221

Reference25 articles.

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4. Real-time departure slotting in mixed-mode operations using deep reinforcement learning:a case study of zurich airport;pham;Fourth USA/Europe Air Traffic Management Research & Development Seminar,2021

5. Air traffic control complexity as workload driver

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