摘要
针对空中交通仿真系统中的管制员Agent建模问题,通过分析管制操作行为特点,采用BDI结构,建立了基于决策树模型的管制规则知识库,设计了慎思型管制员Agent。基于Jadex平台,构建了管制员Agent模型,将由JADE平台建立的航空器Agent和模拟空管自动化系统Agent与Jadex平台建立的管制员Agent进行通信与协调,通过仿真系统构建仿真场景并验证管制员Agent的BDI推理过程,实现了对管制员的日常指挥行为的模拟。实验结果表明,所构建的管制员Agent模型可以顺利进行推理过程并对飞行冲突进行探测与解脱。
For ATC operational behavior modeling problems in air traffic control simulation,this paper analyzed the behavior characteristic of ATC operation,and adopted BDI structure of establishing the conflict detection and resolution rule library of ATC Agent based on decision tree. Finally,this paper designed the deliberative type of ATC Agent. Based on Jadex platform,the model of ATC Agent was constructed. Then this paper have assembled the ATC Agent model to communicate and coordinate with other two kinds of Agent models,namely,aircraft Agent and ATC Automation Systems Agent established on JADE platform.The simulation scenario was constructed through simulation system and the BDI reasoning process of ATC Agent was verified. The results show that: the ATC Agent model can reasoning smoothly and detect and resolute the conflict between aircraft Agents.
出处
《航空计算技术》
2016年第1期77-81,共5页
Aeronautical Computing Technique
基金
南京航空航天大学研究生创新基地开放基金项目资助(kfjj20150702)
波音公司联合项目资助(1007-EBA14004)