Deep reinforcement learning based airport departure metering

• المؤلفون الرئيسيون: Ali, Hasnain, Pham, Duc Thinh, Alam, Sameer
• مؤلفون آخرون: 24th IEEE International Conference on Intelligent Transportation - ITSC2021
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Aeronautical engineering; Deep Reinforcement Learning; ATM
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/152013

Airport taxi delays adversely affect airports and airlines around the world in terms of congestion, operational workload, and environmental emissions. Departure Metering (DM) is a promising approach to contain taxi delays by controlling departure pushback times. The key idea behind DM is to transfer...