摘要
综合考虑空中交通管制、航空公司和机场因素,研究了多跑道降落航班的协同调度问题,以实现安全、公平和高效的空中交通管理战术决策.提出了采用协同航班调度策略和多目标优化调度模型.模型以安全性为约束,以总延误成本和空中交通管制员管制负荷最小、航空公司之间尽量公平为优化目标,用多目标遗传算法求解.算例仿真结果表明,用本文算法得出的最优方案与FCFS算法结果相比,因延误造成的总成本损失减少了61.4%,并使延误损失在各航空公司间的分配更加均衡.
To make a safe, fair and efficient tactical decision in ATC （air traffic control ）, the collaborative aircraft scheduling （CAS） problem was studied, in which the factors concerning ATC, airlines and airports were considered. A collaborative airline scheduling strategy and a multi-objection optimization model were presented. The objectives of the mode are to minimize the total delay costs and the workloads of air traffic controllers, and to maximize the fairness among airlines. A multi- objective genetic algorithm was designed to solve the proposed model. The results of an experimental example show that, compared with that of FCFS （first come, first served）, the delay cost is reduced by 61. 4% , and it is more evenly distributed among airlines.
出处
《西南交通大学学报》
EI
CSCD
北大核心
2009年第3期402-409,共8页
Journal of Southwest Jiaotong University
基金
国家"863"计划资助项目(20060AA12A105)
国家空中交通管制科研课题(GKG200802006)
关键词
空中交通管制
协同航班调度
多目标遗传算法
多跑道
air traffic control
collaborative aircraft scheduling
multi-objective genetic algorithm
multi -runway
