Results
Title

基于多智能体系统的飞机滑行路径规划.

Authors

唐勇; 何东林; 朱新平

Abstract

To solve the initial path planning problem of aircraft taxiing in advanced surface movement guidance and control system(A-SMGCS), a method was proposed based on multi-agent system(MAS) simulation to realize the shortest path planning from any starting point to destination on airport surface. To overcome the shortage of traditional directed graph model in describing the airport surface operation, a taxiing resource graph model was proposed to model the airport control area, which could not only efficiently model the airport control area, but also make the model not too complicated. The shortest path planning MAS was designed. Based on the reproductive ability and the exclusive attributes of aircraft agent in the resource node agent, the resource nodes could be traversed, and each node was ensured to be visited at most once. Anylogic was used to develop a multi-agent simulation system for airport surface initial path planning. The simulation results show that the designed MAS system can not only quickly calculate the shortest path, but also visualize the path planning process. The algorithm complexity is the same as Dijkstra algorithm, which meets the initial path planning requirements of A-SMGCS.

Subjects

MULTIAGENT systems; DIRECTED graphs; PRODUCTION planning; SIMULATION methods & models; ALGORITHMS; VERTICALLY rising aircraft

Publication

Journal of Jiangsu University (Natural Science Edition) / Jiangsu Daxue Xuebao (Ziran Kexue Ban), 2019, Vol 40, Issue 5, p559

ISSN

1671-7775

Publication type

Academic Journal

DOI

10.3969/j.iisn.1671-7775.2019.05.010