西南交通大学学报2018，Vol.53Issue(2)：400-405,6.DOI:10.3969/j.issn.0258-2724.2018.02.025
基于降低温室效应的飞行高度层分配优化
Flight Level Allocation Optimization to Reduce Greenhouse Effect
摘要
Abstract
To reduce the regional environmental impacts of air traffic flow,this study investigated a green trajectory optimization method for reducing greenhouse effect.According to the characteristics of the regional sector aircraft and the flight conflict resolution method,the influences of CO2 emissions and aircraft contrails on global surface temperature change were analysed and a regional aircraft deployment model was established to minimise the greenhouse effect.A genetic algorithm based on the elite retention strategy was designed.The feasibility of this algorithm was verified using real flight operations data of ZBAAAR02 as an example.The calculation result shows that the model can effectively reduce the rise in global temperature due to flight operations in the sector.The global surface temperature can decrease by 98.74％,97.69％,and 97.11％ in 25,50,and 100 years respectively with this model.The results obtained suggests that flight level allocation model optimisation can effectively reduce the greenhouse effect.关键词
温室效应/凝结尾/高度层分配/遗传算法Key words
greenhouse effect/contrail/flight level allocation/genetic algorithm分类
航空航天引用本文复制引用
田勇,万莉莉,叶博嘉,王中凤燕..基于降低温室效应的飞行高度层分配优化[J].西南交通大学学报,2018,53(2):400-405,6.基金项目
国家自然科学基金资助项目(61671237) （61671237）
中央高校基本科研业务费专项资金资助项目(NJ20140017) （NJ20140017）
江苏省自然科学基金资助项目(BK20160798) （BK20160798）
