A scheduling model of closely spaced parallel runways for arrival aircraft was proposed,with multi-objections of the minimum flight delay cost,the maximum airport capacity,the minimum workload of air traffic controlle...A scheduling model of closely spaced parallel runways for arrival aircraft was proposed,with multi-objections of the minimum flight delay cost,the maximum airport capacity,the minimum workload of air traffic controller and the maximum fairness of airlines′scheduling.The time interval between two runways and changes of aircraft landing order were taken as the constraints.Genetic algorithm was used to solve the model,and the model constrained unit delay cost of the aircraft with multiple flight tasks to reduce its delay influence range.Each objective function value or the fitness of particle unsatisfied the constrain condition would be punished.Finally,one domestic airport hub was introduced to verify the algorithm and the model.The results showed that the genetic algorithm presented strong convergence and timeliness for solving constraint multi-objective aircraft landing problem on closely spaced parallel runways,and the optimization results were better than that of actual scheduling.展开更多
The paired approach is a kind of efficiency approach to closely spaced parallel runways(CSPRs),and the point merge system has the powerful interval management function,which is effective to realize the converge of tra...The paired approach is a kind of efficiency approach to closely spaced parallel runways(CSPRs),and the point merge system has the powerful interval management function,which is effective to realize the converge of traffic flows from different approach directions.In order to improve the operation efficiency of the airport terminal area,a model of paired approach sequencing based on point merge is proposed to investigate the problem of increasing the operation capacity of the closely spaced parallel runways.Taking the minimum average flight delay time as the objective,the flight distance on sequencing legs,wake turbulence separation and paired approach safety separation as constraints,the genetic algorithm is used to optimize the paired approach sequencing of arrival flights.Taking the closely parallel runways of Shanghai Hongqiao International Airport run south as an example,the point merge program is designed and the effect of model was analyzed.The results show that after optimization,the average delay time and average landing time are reduced by 40.6%and 51.8%respectively,the capacity of the closely spaced parallel runways are 1.1 times higher than the actual,the flight uptime rate can reach 100%.It is concluded that the proposed model is feasible,which can effectively reduce delay times and alleviate congestion in terminal areas.展开更多
跑道理论容量计算是机场容量评估的一项重要内容。传统方法是针对跑道实际运行情况建立特定的数学模型进行粗略计算,本研究则采用随机Petri网(stochastic Petri net,SPN)建立通用的近距平行跑道运行模型,通过同构马尔科夫链,建立系统稳...跑道理论容量计算是机场容量评估的一项重要内容。传统方法是针对跑道实际运行情况建立特定的数学模型进行粗略计算,本研究则采用随机Petri网(stochastic Petri net,SPN)建立通用的近距平行跑道运行模型,通过同构马尔科夫链,建立系统稳态概率表达式,进而建立跑道容量数学模型。在此基础之上,将跑道容量的影响因素映射成相应变迁的激发率,通过对激发率的调整,实现了不同条件下交替起降近距平行跑道容量的计算与分析。与传统方法相比,该方法所建模型可复用性强,参数调整更为灵活,为跑道理论容量的计算与分析提供了新的解决方案。展开更多
文摘A scheduling model of closely spaced parallel runways for arrival aircraft was proposed,with multi-objections of the minimum flight delay cost,the maximum airport capacity,the minimum workload of air traffic controller and the maximum fairness of airlines′scheduling.The time interval between two runways and changes of aircraft landing order were taken as the constraints.Genetic algorithm was used to solve the model,and the model constrained unit delay cost of the aircraft with multiple flight tasks to reduce its delay influence range.Each objective function value or the fitness of particle unsatisfied the constrain condition would be punished.Finally,one domestic airport hub was introduced to verify the algorithm and the model.The results showed that the genetic algorithm presented strong convergence and timeliness for solving constraint multi-objective aircraft landing problem on closely spaced parallel runways,and the optimization results were better than that of actual scheduling.
基金supported by the National Key Research and Development Program(No.211221210054)the Fundamental Research Funds for the Central Universities of Chang’an University(No.300102210117)。
文摘The paired approach is a kind of efficiency approach to closely spaced parallel runways(CSPRs),and the point merge system has the powerful interval management function,which is effective to realize the converge of traffic flows from different approach directions.In order to improve the operation efficiency of the airport terminal area,a model of paired approach sequencing based on point merge is proposed to investigate the problem of increasing the operation capacity of the closely spaced parallel runways.Taking the minimum average flight delay time as the objective,the flight distance on sequencing legs,wake turbulence separation and paired approach safety separation as constraints,the genetic algorithm is used to optimize the paired approach sequencing of arrival flights.Taking the closely parallel runways of Shanghai Hongqiao International Airport run south as an example,the point merge program is designed and the effect of model was analyzed.The results show that after optimization,the average delay time and average landing time are reduced by 40.6%and 51.8%respectively,the capacity of the closely spaced parallel runways are 1.1 times higher than the actual,the flight uptime rate can reach 100%.It is concluded that the proposed model is feasible,which can effectively reduce delay times and alleviate congestion in terminal areas.
文摘跑道理论容量计算是机场容量评估的一项重要内容。传统方法是针对跑道实际运行情况建立特定的数学模型进行粗略计算,本研究则采用随机Petri网(stochastic Petri net,SPN)建立通用的近距平行跑道运行模型,通过同构马尔科夫链,建立系统稳态概率表达式,进而建立跑道容量数学模型。在此基础之上,将跑道容量的影响因素映射成相应变迁的激发率,通过对激发率的调整,实现了不同条件下交替起降近距平行跑道容量的计算与分析。与传统方法相比,该方法所建模型可复用性强,参数调整更为灵活,为跑道理论容量的计算与分析提供了新的解决方案。
