基于突发事件的机场进离场时隙分配研究

Slot Allocation of Airport Arrival and Departure Based on the Emergence

针对机场发生突发事件导致机场容量急剧下降而难以满足航班时隙需求的情况,建立进离场时隙分配模型,为受影响的航班重新分配时隙。以进离场航班的总延误损失为目标函数,将旅客平均延误时间作为时隙分配公平性指标,首次引入生物地理学优化算法对时隙分配模型求解。计算首都机场282个进离场航班重新分配时隙耗时为320 s,所求得的解与RBS算法相比,总延误损失减少了32.8%,旅客平均延误时间降低了27.8%。该模型和算法表现出高效、快速的时隙分配能力,可为决策者的应急决策提供有力保证。

According to the airport capacity declines sharply by the emergence,which cannot meet the demand of slots,and establish the model of slot reallocation for the affected flights. The total delay loss as the objective function,and the average delay of passengers as fairness index. The model is for the first time being solved by the biogeography- based optimization. It takes320 s for 282 flights to reallocation slot. The result compares with RBS the total delay loss is reduced by 32. 8%,and the average delay of the passengers is reduced by 27. 8%. The model and the algorithm are efficient for the slot allocation,and provide enough time and efficiency guarantee for decision makers in dealing with the emergence.