摘要
为充分利用机场容量、减少航班延误,把进离场视为互相影响的两个过程,研究机场流量与容量匹配问题,给出了一种进离场流量协同分配模型。基于机场容量动态限制,模型以最小化进离场航班总延误损失为目标,协同优化进离场流量分配策略;通过引入航班延误损失系数,作为航空公司协同决策的偏好信息以兼顾其利益。针对模型特点设计了遗传算法予以实现。实例仿真结果表明,模型不仅能使流量与容量协调匹配,而且能够使延误损失降到最小且能兼顾航空公司的利益,验证了所提策略的有效性。
To use airport capability and reduce filght delay, an optimization model for the flow distribution is proposed. The model takes arrivals and departures as two interdependent processes. The model minimizes the total delay cost to find optimal flow distribution strategy. It also introduces delay cost coefficients as decision-preferential information to consider the airlines interest. A genetic algorithms is designed for the model. Experimental results show that the model has a balance between airport flows and capabilities, and minimizes the delay cost with airline preferences. So the distribution strategy is verified to be effective.
出处
《南京航空航天大学学报》
EI
CAS
CSCD
北大核心
2008年第5期641-645,共5页
Journal of Nanjing University of Aeronautics & Astronautics
基金
国家"八六三"高技术发展计划(20060AA12A105)重点资助项目
关键词
空中交通
流量分配
遗传算法
协同优化
air traffic
flow distribution
genetic algorithms
co-optimization
