Abstract: In view of the problem of airport flight support vehicle scheduling, the traditional research mainly focuses on fuel vehicles and is mostly based on manual experience and single vehicle with single flight service, which cannot be applied to the current electricization of special vehicles. The analysis of the business process of the flight ground support task along with the specific departure time of the airport flight can help to reduce the number of electric special vehicles in the airport and to shorten the charging time. The charging scheduling model of electric special vehicles is established and the multi-objective particle swarm optimization algorithm is used to build the model. The effectiveness of the model is verified in a domestic airport as a specific case. The experiment shows that this method can spare 5 special vehicles and reduce the charging time by 14.60%, which can solve the problem of charging scheduling of airport electric special vehicles and improve the operating efficiency of airport electric special vehicles.

Key words: airport operation, electric special vehicle, vehicle dispatching, charge management, multi-objective particle swarm optimization