针对机场容量限制导致的航班延误问题,以最大航班流量为决策目标,建立了进离港航班容量模型.该模型采用离散时间混合排队算法,对可能出现的冲突情况建立转移概率矩阵,并基于冲突因子优化模型性能,推导出进离港容量的数学公式,设计出算法流程.以成都双流国际机场的实际数据进行仿真,结果表明:当进、离港航班率分别为0.6和0.5、机场吞吐率为0.8时,模型预测的数据与实际航班信息的标准差分别为1.552和1.436;当进港请求近似为泊松分布时,机场吞吐率越大,拒绝的航班请求数量越少,机场吞吐率与计划进离港容量正相关.%In order to mitigate flight delays caused by airport capacity limitation, a novel arrival-departure capacity model was built with the maximum flow as the objective. In this model, a discrete-time mixed queuing algorithm is employed to form the transition probability matrix for potential conflicts, and a conflict factor is adopted to adjust the transition probability matrix for optimization of model performance. The mathematic formula for arrival-departure capacity is then derived, and calculation procedures of the capacity algorithm are designed. A simulation was conducted using the actual data collected from Chengdu Shuangliu international airport. The results show that the standard deviation between the calculated number of flights and the actual data are 1. 552 and 1. 436, respectively, when the arrival and departure rates of flights are 0. 6 and 0. 5, and the throughput rate of airport (TRA) is 0. 8. When the arrival requests obey Poisson distribution, the number of rejected requests decreases with an increase in TRA, and the relationship between arrival capacity and TRA shows a positive correlation trend.
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