Neural Airport Ground Handling

Understand

Airport ground handling (AGH) offers necessary operations to flights during their turnarounds and is of great importance to the efficiency of airport management and the economics of aviation.

• Such a problem involves the interplay among the operations that leads to NP-hard problems with complex constraints.
• Hence, existing methods for AGH are usually designed with massive domain knowledge but still fail to yield high-quality solutions efficiently.
• In this paper, we aim to enhance the solution quality and computation efficiency for solving AGH.