为支持先进机场场面活动引导与控制系统(A-SMGCS,advanced surface movement guidance and controlsystem)实施航空器滑行的精确引导,将场面分为滑行道交叉口和直线段等典型运行单元,利用改进的扩展赋时库所Petri网,建立了场面运行模块...为支持先进机场场面活动引导与控制系统(A-SMGCS,advanced surface movement guidance and controlsystem)实施航空器滑行的精确引导,将场面分为滑行道交叉口和直线段等典型运行单元,利用改进的扩展赋时库所Petri网,建立了场面运行模块化模型;采用该模型进行染色体编码,并考虑场面运行管制规则,提出了染色体合法性检测与修复算法,以及染色体交叉和变异算法.基于首都国际机场01号跑道实际运行数据,用本文模型和算法进行了多个航班滑行初始路径规划,研究结果表明:与节点-路段类模型相比,本文模型能更充分地描述场面管制规则约束,可避免生成违反管制规则的路径;本文算法的每个航班初始路径规划耗时小于10 s,符合A-SMGCS的要求;由于考虑了航空器滑行速度调整特征,更符合场面运行的实际情况.展开更多
Intractable delays occur in air traffic due to the imbalance between ever-increasing air traffic demand and limited airspace capacity.As air traffic is associated with complex air transport systems,delays can be magni...Intractable delays occur in air traffic due to the imbalance between ever-increasing air traffic demand and limited airspace capacity.As air traffic is associated with complex air transport systems,delays can be magnified and propagated throughout these systems,resulting in the emergent behavior known as delay propagation.An understanding of delay propagation dynamics is pertinent to modern air traffic management.In this work,we present a complex network perspective of delay propagation dynamics.Specifically,we model air traffic scenarios using spatial–temporal networks with airports as the nodes.To establish the dynamic edges between the nodes,we develop a delay propagation method and apply it to a given set of air traffic schedules.Based on the constructed spatial-temporal networks,we suggest three metrics-magnitude,severity,and speed-to gauge delay propagation dynamics.To validate the effectiveness of the proposed method,we carry out case studies on domestic flights in the Southeastern Asia region(SAR)and the United States.Experiments demonstrate that the propagation magnitude in terms of the number of flights affected by delay propagation and the amount of propagated delays for the US traffic are respectively five and ten times those of the SAR.Experiments further reveal that the propagation speed for US traffic is eight times faster than that of the SAR.The delay propagation dynamics reveal that about six hub airports in the SAR have significant propagated delays,while the situation in the United States is considerably worse,with a corresponding number of around 16.This work provides a potent tool for tracing the evolution of air traffic delays.展开更多
文摘为支持先进机场场面活动引导与控制系统(A-SMGCS,advanced surface movement guidance and controlsystem)实施航空器滑行的精确引导,将场面分为滑行道交叉口和直线段等典型运行单元,利用改进的扩展赋时库所Petri网,建立了场面运行模块化模型;采用该模型进行染色体编码,并考虑场面运行管制规则,提出了染色体合法性检测与修复算法,以及染色体交叉和变异算法.基于首都国际机场01号跑道实际运行数据,用本文模型和算法进行了多个航班滑行初始路径规划,研究结果表明:与节点-路段类模型相比,本文模型能更充分地描述场面管制规则约束,可避免生成违反管制规则的路径;本文算法的每个航班初始路径规划耗时小于10 s,符合A-SMGCS的要求;由于考虑了航空器滑行速度调整特征,更符合场面运行的实际情况.
基金This work was supported by SUG Research Grant M4082126.050 by the School of Mechanical and Aerospace Engineering(MAE),Nanyang Technological University(NTU),SingaporeNTU-CAAS Research Grant M4062429.052 by the ATM Research Institute,School of MAE,NTU,Singapore.
文摘Intractable delays occur in air traffic due to the imbalance between ever-increasing air traffic demand and limited airspace capacity.As air traffic is associated with complex air transport systems,delays can be magnified and propagated throughout these systems,resulting in the emergent behavior known as delay propagation.An understanding of delay propagation dynamics is pertinent to modern air traffic management.In this work,we present a complex network perspective of delay propagation dynamics.Specifically,we model air traffic scenarios using spatial–temporal networks with airports as the nodes.To establish the dynamic edges between the nodes,we develop a delay propagation method and apply it to a given set of air traffic schedules.Based on the constructed spatial-temporal networks,we suggest three metrics-magnitude,severity,and speed-to gauge delay propagation dynamics.To validate the effectiveness of the proposed method,we carry out case studies on domestic flights in the Southeastern Asia region(SAR)and the United States.Experiments demonstrate that the propagation magnitude in terms of the number of flights affected by delay propagation and the amount of propagated delays for the US traffic are respectively five and ten times those of the SAR.Experiments further reveal that the propagation speed for US traffic is eight times faster than that of the SAR.The delay propagation dynamics reveal that about six hub airports in the SAR have significant propagated delays,while the situation in the United States is considerably worse,with a corresponding number of around 16.This work provides a potent tool for tracing the evolution of air traffic delays.
