arXiv Machine Learning By Bin Wang, Anqi Liu, Jiangtao Zhao, Hina Birahmani, Yanyong Huang, Peilan He, Guiyuan Jiang, Feng Hong, Yanwei Yu, Yuanyuan Hou, Tianrui Li

Unlocking air traffic flow prediction through microscopic aircraft-state modeling

Read the original on arXiv Machine Learning →

arXiv:2605. 10083v2 Announce Type: replace Abstract: Short-term air traffic flow prediction in terminal airspace is essential for proactive air traffic management.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

arXiv Machine Learning
Jun 26

Learning to Explain Air Traffic Situation

arXiv:2502. 10764v4 Announce Type: replace Abstract: Understanding how air traffic controllers construct a mental 'picture' of complex air traffic situations is crucial but remains a challenge due to the inherently intricate, high-dimensional interactions between aircraft, pilots, and controllers.

By Hong-ah Chai, Seokbin Yoon, Keumjin Lee