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为了保障机场安全,提高机场运行效率,建立了依据进出港航班滑行时间最短为决策的多Agent模型,模型以多Agent技术为基础,融合了Dijkstra算法的最优路径选择和合同网协议的思想,形成了基于多Agent的滑行路径优化算法,并依据该算法进行了仿真分析。仿真结果表明:与指定航班优先级相比,使用基于多Agent的优化算法处理同优先级航班,总运行时间可减少15s;基于多Agent的场面运行调整算法可以有效地把航班和机场上分布的滑行道、跑道、停机位等资源组织起来,智能地发现冲突、躲避冲突,达到全局滑行时间最短,因此,该算法可行。
In order to ensure airport security and improve airport operational efficiency, a multi-agent model based on the shortest taxiing time for inbound and outbound flights is established. Based on multi-agent technology, the model combines the idea of optimal route selection and contract network protocol of Dijkstra algorithm, A multi-agent-based taxi path optimization algorithm is formed, and the simulation analysis is carried out according to the algorithm. The simulation results show that the total running time can be reduced by 15s compared with the assigned flight priority using the multi-agent-based optimization algorithm for the same-priority flight. The multi-agent-based scene operation adjustment algorithm can effectively reduce the flight and airport distribution Taxiway, runway, parking spaces and other resources organized to intelligently find conflicts, to avoid conflicts, to achieve the shortest global taxi time, therefore, the algorithm is feasible.