Abstract
An airport ferry vehicle is a ground service vehicle used to transfer passengers between the far apron and the terminal. The travel time of ferry tasks in the airport ferry network is an important decision-making basis for ferry vehicle scheduling. This paper presents a graph-based method to mine the travel time between nodes in the airport ferry network. Firstly, combined with map and trajectory information, the method takes the terminal boarding gates, parking lots, and remote stands as road network nodes to build a complete airport ferry road network. Then, this paper uses big data processing technology to identify the travel time between regional connection nodes by data fusion through the temporal and spatial relationship between flight schedule and ferry vehicle GPS travel trajectory. Finally, the Floyd shortest path algorithm in graph theory is used to obtain the shortest path and travel time of all OD points. The experimental results show that all the ferry times calculated by the method proposed in this paper can better reflect the actual driving situation. This method saves the manpower, material resources, and time cost of on-site investigation and lays a foundation for the scheduling of ferry vehicles.
Highlights
When the aircraft is parked at a far apron, passengers need ferry vehicles to transfer between the aircraft and the terminal
After the airport operation center obtains the flight schedule and gate assignment [1, 2] results in a period of time, it will consider the travel time consumed by the ferry task in the road network and reasonably arrange the ferry vehicles for each flight parked in a remote stand
The scheduling of ferry vehicles in many airports mainly depends on experienced staff. e efficiency of the scheduling results is difficult to be ensured, which is easy to lead to flight delays. erefore, how to establish the optimal scheduling model of ferry vehicles by scientific means and improve the service level of airport ferry vehicles has attracted the attention of some scholars
Summary
When the aircraft is parked at a far apron, passengers need ferry vehicles to transfer between the aircraft and the terminal. After the airport operation center obtains the flight schedule and gate assignment [1, 2] results in a period of time, it will consider the travel time consumed by the ferry task in the road network and reasonably arrange the ferry vehicles for each flight parked in a remote stand. E premise of ferry vehicle scheduling modeling is to know the travel time information between OD points in the ferry network. Is paper proposed a novel graph-based method to mine the travel time in the airport ferry network. En, the nodes are divided into different regions, and the travel time between regional connecting nodes is identified by data fusion through the temporal and spatial relationship between flight schedule and ferry vehicle GPS travel trajectory.
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