Prediction of runway configurations and airport acceptance rates for multi-airport system using gridded weather forecast
نویسندگان
چکیده
Accurate prediction of real-time airport capacity, a.k.a. acceptance rates (AARs), is key to enabling efficient air traffic flow management. AARs are dependent on selected runway configurations and both affected by weather conditions. Although there have been studies tackling the or both, accuracy relatively low only single considered. This study presents a data-driven deep-learning framework for predicting support management complex multi-airport systems. The two major contributions from this work 1) proposed model uses assembled gridded forecast terminal airspace instead an isolated station-based forecast, 2) captures operational interdependency aspects inherent in parameter learning process so that modeling can predict configuration simultaneously with higher accuracy. method demonstrated numerical experiment taking three airports New York Metroplex as case study. compared methods current literature analysis results show outperforms all existing methods.
منابع مشابه
Optimal Selection of Airport Runway Configurations
We present a mixed integer programming (MIP) model to solve the problems of (i) selecting an airport’s optimal sequence of runway configurations and (ii) determining the optimal balance of arrivals and departures to be served at any moment. These problems, the runway configuration management (RCM) problem and the arrival/departure runway balancing (ADRB) problem, respectively, are of critical i...
متن کاملRunway Scheduling for Charlotte Douglas International Airport
This paper explores a multiple runway scheduling problem and generates the schedule for arrivals, departures and crossing aircraft planning to use the runways within a given planning horizon. We present a mixed integer linear programming-based model that explicitly considers separation criteria between pairs of aircraft and also incorporates various Traffic Management Initiatives. It also inclu...
متن کاملAirport Congestion Mitigation through Dynamic Control of Runway Configurations and of Arrival and Departure Service Rates under Stochastic Operating Conditions
The high levels of flight delays require the implementation of airport congestion mitigation tools. In this paper, we optimize the utilization of airport capacity at the tactical level in the face of operational uncertainty. We formulate an original Dynamic Programming model that selects jointly and dynamically runway configurations and the balance of arrival and departure service rates at a bu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Transportation Research Part C-emerging Technologies
سال: 2021
ISSN: ['1879-2359', '0968-090X']
DOI: https://doi.org/10.1016/j.trc.2021.103049