论文部分内容阅读
针对空中交通短期流量管理问题,给出了整机型的空中交通短期流量管理模型(ST-TFMP)。运用大规模并行的D-W分解算法,结合数据仓储技术,快速解决了航班延误最小问题。同时对算法的计算性能进行了计算估计和实验分析。通过对实际终端区流量进行仿真计算,仿真结果验证了本文提出的并行算法的合理性。
Aiming at the short-term traffic management of air traffic, an air traffic short-term traffic management model (ST-TFMP) of the whole model is given. Using large-scale parallel D-W decomposition algorithm, combined with data warehousing technology, to quickly solve the minimum flight delay problem. At the same time, the computational performance of the algorithm is estimated and experimentally analyzed. By simulating the actual terminal area traffic, the simulation results verify the rationality of the parallel algorithm proposed in this paper.