MAS在机场路面路径优化中的应用研究

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.

Application of MAS to Airport Surface Route Optimization

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...