scholarly journals Data‐driven flight time prediction for arrival aircraft within the terminal area

2021 ◽  
Author(s):  
Junfeng Zhang ◽  
Zihan Peng ◽  
Chunwei Yang ◽  
Bin Wang
Keyword(s):  
Flight Time ◽  
Data Driven ◽  
Time Prediction ◽  
Terminal Area

En Route Flight Time Prediction Under Convective Weather Events

2018 ◽  
Author(s):  
Guodong Zhu ◽  
Chris Matthews ◽  
Peng Wei ◽  
Matt Lorch ◽  
Subhashish Chakravarty
Keyword(s):  
Flight Time ◽  
Time Prediction ◽  
Weather Events ◽  
Convective Weather

scholarly journals Study on the Optimization Method of Point Merge Procedure Based on Benefit in the Terminal Area

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Yong Tian ◽  
Dawei Xing ◽  
Lili Wan ◽  
Bojia Ye
Keyword(s):  
Fuel Consumption ◽  
Rapid Development ◽  
Flow Distribution ◽  
Optimization Method ◽  
Flight Time ◽  
Pollutant Emission ◽  
Flight Operations ◽  
Obstacle Clearance ◽  
Noise Impact ◽  
Terminal Area

With the rapid development of the air transport industry, the problem of airspace congestion and flight delay in the terminal area (TMA) becomes more and more serious. In order to improve the efficiency of flight operations in TMA, point merge procedure had been devised. This paper takes the approach routes in TMA as the research object, taking into account such conditions as obstacle clearance, flight interval, and procedure area. Based on the flight time, fuel consumption, pollutant emission, and noise impact, an optimization model of point merge procedure is constructed. Genetic algorithm is used to optimize the structure of procedure. The Shanghai Hongqiao International Airport is selected for simulation verification, and the actual flow distribution of the airport is analyzed as an example. The results show that the average flight time was reduced by 0.26 min, the average fuel consumption was reduced by 1,240.64 kg, the average NOx emissions were reduced by 1.09 kg, and the noise impact range was contracted by 55 km2 after optimization. The point merge procedure optimization method can be expected to reduce the flight time, fuel consumption, and environmental impact of flights in TMA, so as to optimize the aircraft approach trajectory.

scholarly journals Data-Driven Simulation for Evaluating the Impact of Lower Arrival Aircraft Separation on Available Airspace and Runway Capacity at Tokyo International Airport

Aerospace ◽  
2021 ◽  
Vol 8 (6) ◽  
pp. 165
Author(s):  
Katsuhiro Sekine ◽  
Furuto Kato ◽  
Kota Kageyama ◽  
Eri Itoh
Keyword(s):  
Simulation Models ◽  
Weather Conditions ◽  
Air Traffic ◽  
Data Driven ◽  
Wake Turbulence ◽  
Automation Systems ◽  
Delay Times ◽  
Simulation Results ◽  
The Impact ◽  
Terminal Area

Although the application of new wake turbulence categories, the so-called “RECAT (wake turbulence category re-categorization)”, will realize lower aircraft separation minima and directly increase runway throughput, the impacts of increasing arrival traffic on the surrounding airspace and arrival traffic flow as a whole have not yet been discussed. This paper proposes a data-driven simulation approach and evaluates the effectiveness of the lower aircraft separation in the arrival traffic at the target airport. The maximum runway capacity was clarified using statistics on aircraft types, stochastic distributions of inter-aircraft time and runway occupancy time, and the levels of the automation systems that supported air traffic controllers’ separation work. Based on the estimated available runway capacity, simulation models were proposed by analyzing actual radar track and flight plan data during the 6 months between September 2019 and February 2020, under actual operational constraints and weather conditions. The simulation results showed that the application of RECAT would reduce vectoring time in the terminal area by 7% to 10% under the current airspace and runway capacity when following a first-come first-served arrival sequence. In addition, increasing airspace capacity by 10% in the terminal area could dramatically reduce en-route and takeoff delay times while keeping vectoring time the same as under the current operation in the terminal area. These findings clarified that applying RECAT would contribute to mitigating air traffic congestion close to the airport, and to reducing delay times in arrival traffic as a whole while increasing runway throughput. The simulation results demonstrated the relevance of the theoretical results given by queue-based approaches in the authors’ past studies.

Short-term Travel-time Prediction on Highway: A Review of the Data-driven Approach

2015 ◽  
Vol 35 (1) ◽  
pp. 4-32 ◽  
Author(s):  
Simon Oh ◽  
Young-Ji Byon ◽  
Kitae Jang ◽  
Hwasoo Yeo
Keyword(s):  
Travel Time ◽  
Data Driven ◽  
Travel Time Prediction ◽  
Short Term ◽  
Time Prediction ◽  
Data Driven Approach
Sign in / Sign up

Export Citation Format

Share Document