MAS在机场路面路径优化中的应用研究  

Application of MAS to Airport Surface Route Optimization

作　　者：尤杰[1] 韩松臣[1] 

机构地区：[1]南京航空航天大学,南京210016

出　　处：《交通与计算机》2008年第6期61-64,共4页Computer and Communications

基　　金：国家自然科学基金委员会与中国民航总局联合项目(批准号:60776813)资助

摘　　要：利用多Agent技术,研究进出港航班滑行路径的优化问题,为刚降落和即将出港的航班规划最短滑行路径,判断航班在规划的滑行路径上是否会发生对头相遇。由于多Agent技术更能体现人类的社会智能,更适合开放的、动态的社会环境,因此引进这一技术对进出航班滑行路径进行优化。文中将每架飞机被看作是一个Agent;将跑道,滑行道,停机位等看作是资源Agent;在多Agent环境下,优化出最佳的滑行路径。The multi-Agent technique was used to study the optimization of airplane taxiway for arrival and departure flights. The shortest paths were designed for just-arrived and ready-for-departing flights of the airport. Additionally, whether the flights could confront each other head-to-head on the taxiway was judged. In regard to the airport＇s security and efficiency, airplanes must continuously taxi along the shortest route and the head to-head confrontation should not occur. The multi-Agent technology was introduced to optimize the airport scene way because it can manifest humanity＇s social intelligence, and adapt better to an open, and dynamic social environment. In the paper, each airplane was regarded as an Agent while the runway, the taxiway and gates were regarded as resources Agent. Under the multi-Agent environment, the best paths were optimized.

关 键 词：航空运输管理 路径优化 多AGENT 进出港航班 

分 类 号：V351.11[航空宇航科学与技术—人机与环境工程]