In order to provide efficient and intelligent service for Airport Ground operations, according to the different demand optimization models of multi-depot, multi-vehicle, multi-flight, and multi-objective-allocation in actual operation, collaborative scheduling was proposed. The results show that MOEA/D algorithm completes the 4-dimensional multi-objective vehicle routing problem of vehicle volume, travel distance, time window penalty function, and service variance between vehicles; the dynamic allocation and monitoring of the parking occupancy and vehicle usage can be realized through the simulation experiments through Anylogic experiments.