摘要
针对枢纽机场的拥堵问题,提出了机场群航班时刻与频率优化策略。应用运输需求管理理论,以旅客最小出行损失时间为目标函数,以旅客流失率与航空公司客座率为约束条件,建立了基于机场群运行方式的航班时刻与频率优化模型。根据机场群内5个机场的地面交通时间与枢纽机场的航班数量与平均延误的关系,将机场群内各个机场的旅客需求进行分类,采用k-means聚类算法,计算了航班时刻与频率、旅客出行损失时间、机型与数量分配方式。计算结果表明:在机场群运行方式下,旅客需求分为7类,满足全部旅客需求的航班数量为11个,旅客出行损失时间为123 403min;在独立运行方式下,旅客需求分为8类,满足全部旅客需求的航班数量为13个,旅客出行损失时间为165 343min;在机场群运行方式下,采用遗传算法求得的满足全部旅客需求的航班数量为11个,旅客出行损失时间为126 119min。
Aiming at congestion problem at hub airport, the optimization strategy of flight time and frequency for multi-airports system was put out. The transportation demand management theory was used, the minimum trip lost time of passenger was taken as objective function, the passenger wastage rate and the occupancy rate of airline were taken as constraint conditions, and the optimization model of flight time and frequency based on operation mode of multi-airports system was established. According to the ground traffic times of 5 airports in multi-airports system and the relation between flight amount and average delay for hub airport, passenger demand in each airport was classified, and the flight time and frequency, the trip lost time of passenger and the distribution modes of aircraft type and amount were calculated by using kmeans clustering algorithm. Calculation result shows that under the operatiom mode of multiairports system, passenger demand is classified into 7 classes, the flight amount satisfied all passenger demands is 11, and the trip lost time of all passengers is 123 403 rain. Under the independent operation mode, passenger demand is classified into 8 classes, the flight amount satisfied all passenger demands is 13, and the trip lost time of all passengers is 165 343 min.Under the operation mode of multi-airports system, the flight demands is 11, and the trip lost time of all passengers is 126 119 8 tabs, 2 figs, 19 refs.
出处
《交通运输工程学报》
EI
CSCD
北大核心
2013年第4期79-86,共8页
Journal of Traffic and Transportation Engineering
基金
国家自然科学基金项目(61079014)
中国民航局软科学基金项目(MHRD201221)
关键词
航空运输
机场群
航班延误
航班时刻
航班频率
聚类算法
遗传算法
air transportation
multi-airports clustering algorithm
genetic algorithm amount satisfied all passenger min by using genetic algorithm. system
flight delay
flight time
flight frequency
