Efficiency and Robustness in a Support Platform for Intelligent Airport Ground Handling

Abstract

One of the effects of the development of air traffic during recent years is the increase of congestion on major airports and their aprons, where ground handling operations take place. Efficiency and safety issues become important on the aprons. The\ud “Integrated Airport Apron Safety Fleet Management – AAS” project aims at setting\ud a decision support system for an efficient and safe management of apron traffic,\ud taking advantage of information gathered by “intelligent” vehicles equipped with on-\ud board positioning and monitoring systems. In this project, we optimize the\ud assignment of vehicles to apron operations. We present a mathematical formulation\ud of the problem and sketch a fast sequential heuristic, which provides efficient\ud assignments based on real-time data on position and status of vehicles and\ud operations. We then discuss how the procedure can reach good trade-offs between efficiency and robustness against unpredicted, but frequent, delays occurring in real-\ud time at airports. The proposed approach has been applied to a major European\ud airport (Berlin’s Tegel), leading to efficiency improvements and reduction of\ud expected delays due to handling operations

Planning efficient 4D trajectories in Air Traffic Flow Management.

“…We tested the performance of the algorithm on a case study involving four major European airports, namely, London Heathrow, Paris Charles De Gaulle, Amsterdam Schiphol and Frankfurt. Data were gathered from the Eurocontrol Demand Data Repository (DDR2), as described in [3]. We selected October 3 rd , 2016 because it was a busy day of the year.…”

Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling

“…Another line of research analyzes safety issues in airports, which are captured by the interplay between air and ground vehicles or the use of civil drones [18], [19]. Other less related works for manpower scheduling or airside operation research can be found in [20], [21], [22], [23].…”

Location Planning for Dynamic Wireless Charging Systems for Electric Airport Passenger Buses

“…By applying their approach, Kuhn and Loth [25] achieved a 20% reduction in aircraft delays and the distance traveled by service vehicles. Andreatta et al [26] proposed a mathematical formulation and a sequential heuristic for optimizing the assignment of vehicles to apron ground service operations. They incorporated various factors that can disrupt the operation of ground services, such as aircraft delays.…”