哈尔滨商业大学学报（自然科学版）2017，Vol.33Issue(3)：363-370,8.
基于多Agent仿真的冲突场景识别
Identification of conflict scenarios based on multi-agent simulation
摘要
Abstract
This paper described the approach for creating a multi-agent based simulation system using JADE platform and Java language which can simulate whole day air traffic operation in China.Three kinds of agents were created to support the air traffic simulation.They are aircraft agent,ATC automation systems agent and air traffic controller agent.Wind data were modeled in the system result in accurate trajectory predictions.Through data mining the conflict data of whole day operation recorded by the air traffic controller agent,it is obvious that the vulnerable sectors mainly located in the east and south-central of China.Route R343 and A461 were easy to spell conflicts during the operation.The analysis result can be used to support the air route network planning,sector division and optimization of flight plan,which has a very practical significance and necessity.关键词
多Agent系统/分布式仿真/冲突探测/冲突场景识别Key words
multi-agent system/distributed simulation/conflict detection/identification of conflict scenarios分类
信息技术与安全科学引用本文复制引用
林颖达,隋东,蔡舒影..基于多Agent仿真的冲突场景识别[J].哈尔滨商业大学学报（自然科学版）,2017,33(3):363-370,8.基金项目
南京航空航天大学研究生创新基地(实验室)开放基金项目(kfjj20150702) （实验室）
