SMS中基于冲突探测的滑行道轨迹预测算法研究

本文研究了机场场面管理系统中的重要环节——滑行道轨迹预测算法.首先研究了滑行道路段基于冲突探测的滑行花销问题，建立了滑行道动态花销模型；然后基于冲突探测和场面资源的动态花销提出了场面交通事件触发的A*轨迹预测算法以及全局Floyd轨迹预测算法.对这两种算法进行仿真的结果表明，基于事件触发的A*算法在场面交通不太拥挤的条件下适用，全局Floyd算法适合场面交通拥挤的情况；最后，通过比较和分析，提出了将两者结合的思想.算法具有很强的可扩展性，能够为机场流量管理提供科学的指导.

Research on taxi trajectory prediction based on conflict detection in surface management system

This paper studies on the important role of SMS(Surface Management System),that is taxi prediction algorithms. At first, it studies the taxi spending on taxiway based on conflict detection, the model is given. Then, based on the result of conflict detection and dynamic spending of surface resource, surface event-based A* trajectory prediction algorithm and Total Floyd trajectory prediction algorithm are raised. The result of emulator shows that surface event-based A* trajectory prediction algorithm is available while traffic is not so congested while total Floyd trajectory prediction algorithm is much better under congested traffic. At last, after compare and analyze the two algorithms, the idea of combining the two is generated. The algorithms studied above have good expansibility and they can direct airport flow management.