Stand, gate and airside pax transport optimization
All over the world, airports provide remote aircraft stands to airlines and handlers. Especially at regional airports, remote stand operations are often resulting in pedestrian logistics and/or bus movements for passengers at the airside platform. Arriving aircraft are allocated to a (remote) stand based on multiple hard and soft constraints that should result in efficient logistical operations. These constraints can be grouped by constraints like safety (e.g. jet blast, crossing streams), security (e.g. mixing passenger types) and on-time performance. After deboarding from a remote stand, passengers are routed towards the arrival concourse, by either a bus or by foot. Nowadays, both the Stand Allocation (SA) and the Gate Assignment (GA) form the input for the decision to transfer passengers from the stand to the arrival section within the terminal (or in reversed order) by bus or by foot and via a certain route on the platform.
Also, for the buses holds that there is a general shortage and therefore capacity limitations on both the ground support equipment (GSE) and the workers that can drive those. Throughout airport peak hours, the demand for capacity rises extremely, resulting in more and more conflicts between different logistical streams. This can be passenger streams interfering with aircraft, aircraft crossing each others stream, or several passenger streams that are crossing.

The level of complexity is reaching a point where the maximum capacity of the human brain is being reached. The solution space for realising a functioning planning and updating it is getting smaller and smaller. The Airport Operation Officer, who is directly
responsible for planning the above-mentioned tasks, can barely solve the puzzle anymore due to the constantly modifying flight information at the day of operation.
In collaboration with the TU Delft, AirportCreators has developed a mathematical model, a Mixed Integer Linear Programming (MILP) model, that integrally solves this puzzle. The model allocates:
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(remote) stands to incoming aircraft;
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departure gates or the defined arrival hall;
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on-time transportation movements for the passengers to safely and efficiently cross the apron, including mode choice.
All sorts of separation constraints help the model to optimize the system capacity and provide the airport with a viable airside operational planning.
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