Air traffic flow management has been a major means for balancing air traffic demandand airport or airspace capacity to reduce congestion and flight delays.However,unpredictable fac-tors,such as weather and equipment m...Air traffic flow management has been a major means for balancing air traffic demandand airport or airspace capacity to reduce congestion and flight delays.However,unpredictable fac-tors,such as weather and equipment malfunctions,can cause dynamic changes in airport and sectorcapacity,resulting in significant alterations to optimized flight schedules and the calculated pre-departure slots.Therefore,taking into account capacity uncertainties is essential to create a moreresilient flight schedule.This paper addresses the flight pre-departure sequencing issue and intro-duces a capacity uncertainty model for optimizing flight schedule at the airport network level.The goal of the model is to reduce the total cost of flight delays while increasing the robustnessof the optimized schedule.A chance-constrained model is developed to address the capacity uncer-tainty of airports and sectors,and the significance of airports and sectors in the airport network isconsidered when setting the violation probability.The performance of the model is evaluated usingreal flight data by comparing them with the results of the deterministic model.The development ofthe model based on the characteristics of this special optimization mechanism can significantlyenhance its performance in addressing the pre-departure flight scheduling problem at the airportnetwork level.展开更多
Urban air mobility(UAM)extends urban transportation to low-altitude airspace using electric vertical take-off and landing(eVTOL)vehicle to reduce traffic congestion.The vertical take-off and landing(VTOL)site connecti...Urban air mobility(UAM)extends urban transportation to low-altitude airspace using electric vertical take-off and landing(eVTOL)vehicle to reduce traffic congestion.The vertical take-off and landing(VTOL)site connecting ground and air transport is the critical infrastructure of the UAM.Determining its locations is essential for the design and operation of the air route.This study focuses on the problem of the location of the VTOL site,using Shenzhen as the study area,and establishes an integer programming model with the objective of maximizing travel cost savings to identify the optimal locations of the VTOL sites.This study is different from existing ones in that it explicitly considers the three-dimensional spatial availability of VTOL sites.Geographic information system(GIS)tools are used to identify locations that satisfy two-dimensional(2D)planar availability,and an obstacle assessment model of the approach/departure and transitional surfaces of the VTOL site is built to further screen the locations.The selected potential sites are used as input to the integer programming model,ensuring that the locations identified to establish the VTOL site are optimal.The impact of the number of VTOL sites,the user's transfer time at the VTOL sites,and the eVTOL pricing on the model solution is also discussed.Although this study uses Shenzhen as a research object,the proposed methodology is generalized and applicable to any other city or region,providing recommendations and references for initial planning and related operations of the UAM in selected areas.展开更多
基金supported by the National Natural Science Foundation of China(Nos.U2033203,U1833126,61773203,61304190)。
文摘Air traffic flow management has been a major means for balancing air traffic demandand airport or airspace capacity to reduce congestion and flight delays.However,unpredictable fac-tors,such as weather and equipment malfunctions,can cause dynamic changes in airport and sectorcapacity,resulting in significant alterations to optimized flight schedules and the calculated pre-departure slots.Therefore,taking into account capacity uncertainties is essential to create a moreresilient flight schedule.This paper addresses the flight pre-departure sequencing issue and intro-duces a capacity uncertainty model for optimizing flight schedule at the airport network level.The goal of the model is to reduce the total cost of flight delays while increasing the robustnessof the optimized schedule.A chance-constrained model is developed to address the capacity uncer-tainty of airports and sectors,and the significance of airports and sectors in the airport network isconsidered when setting the violation probability.The performance of the model is evaluated usingreal flight data by comparing them with the results of the deterministic model.The development ofthe model based on the characteristics of this special optimization mechanism can significantlyenhance its performance in addressing the pre-departure flight scheduling problem at the airportnetwork level.
基金National Natural Science Foundation of China(Grant Nos.U2033203 and 52272333)Fundamental Research Funds for Central Universities of Nanjing University of Aeronautics and Astronautics(Grant No.3082022NS2022067).
文摘Urban air mobility(UAM)extends urban transportation to low-altitude airspace using electric vertical take-off and landing(eVTOL)vehicle to reduce traffic congestion.The vertical take-off and landing(VTOL)site connecting ground and air transport is the critical infrastructure of the UAM.Determining its locations is essential for the design and operation of the air route.This study focuses on the problem of the location of the VTOL site,using Shenzhen as the study area,and establishes an integer programming model with the objective of maximizing travel cost savings to identify the optimal locations of the VTOL sites.This study is different from existing ones in that it explicitly considers the three-dimensional spatial availability of VTOL sites.Geographic information system(GIS)tools are used to identify locations that satisfy two-dimensional(2D)planar availability,and an obstacle assessment model of the approach/departure and transitional surfaces of the VTOL site is built to further screen the locations.The selected potential sites are used as input to the integer programming model,ensuring that the locations identified to establish the VTOL site are optimal.The impact of the number of VTOL sites,the user's transfer time at the VTOL sites,and the eVTOL pricing on the model solution is also discussed.Although this study uses Shenzhen as a research object,the proposed methodology is generalized and applicable to any other city or region,providing recommendations and references for initial planning and related operations of the UAM in selected areas.
