基于进离场容量转换的协同决策系统

针对机场在突发情况下造成交通流拥挤的问题,引入了CDM理论及算法,并对CDM GDP实施过程及其中的RBS/Compression算法进行研究.研究发现,CDM GDP单纯考虑了进场时隙的分配,未涉及离场容量以及离场时隙的分配问题.因此,基于CDM思想,协同、实时地考虑机场进、离场容量转换问题,在增加机场吞吐率的基础上协同决策进离场序列,给出了进、离场容量优化模型及算法,采用动态规划法进行求解,并结合实际机场航班时刻表数据进行了仿真.结果表明,在特殊外因条件下,进、离场容量相互转换时,协同决策系统能提供最优的解决方案,使机场的进、离场达到最大的吞吐量,并将延误减到最小.

Research on Collaborative Decision-making System Based on Conversion of Arrival & Departure Capacity

CDM theory is studied aiming at the problems of congested traffic flow at airports under paroxysmal accidents,and by deep study in CDM GDP and RBS/Compression algorithm,we find that CDM GDP only thinks of distribution of arrival slots instead of departure capacity and departure slots.So,based on CDM theory,we study the problems of conversion of arrival & departure capacity collaboratively and in real time.In this paper,we give arrival & departure capacity optimization model and algorithm.We deal with the mo...