Extraction of Speed-Control Strategy in En-Route Air Traffic using Multi-Objective Optimization and Decision Tree

Sekine, Katsuhiro; Tatsukawa, Tomoaki; Fujii, Kozo; Itoh, Eri

doi:10.2514/6.2022-3614

Cited by 2 publications

(3 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They proposed a two-stage stochastic programming problem (before/after entering the TMA) for 14 flights entering the terminal area of Paris-Charles-De-Gaulle airport between 6:10 and 6:30 AM, whereupon they found that the total deviation in landing time from ideal and unconstrained values could be reduced by 71%. Furthermore, [11] extracted optimal speed-control strategies at 150-200 NM from Tokyo International Airport by combining the Cellular Automatonbased simulator, multi-objective optimization, and decision trees. This work contributed to the future implementation of the E-AMAN, starting arrival spacing and sequencing more than 350 NM away from the airport.…”

Section: B Potential Benefits Of Extended-amanmentioning

confidence: 99%

“…6, same as [15]). Since XAC is located 50 NM away from the airport, these two airspaces can be deemed contiguous, and the boundary of the en-route airspace is 150 NM away from the airport, referring to [11], where the cruise speed is controlled.…”

Section: Estimation Of Delay Time Of Flights a Airport And Data For A...mentioning

confidence: 99%

“…Flight Time (Model) = Service Time + Delay Time. (11) We presume that the service time corresponds to the first term in (10), and the delay time to the second term. Accordingly, the amount of delay reduction is the difference between the second term of (10) (simulation) or (11) (model) before and after optimization if the first term (unconstrained flight time) remains unchanged: the first term corresponds to the unconstrained flight time with no operation.…”

Section: B Comparison Between Combined Model and Simulationmentioning

confidence: 99%

See 2 more Smart Citations

Effectiveness of Aircraft Inter-Arrival Control in Upstream Traffic Flow via a Combined Tandem Fluid Queue Model and Integer Programming Approach

2023

Self Cite

View full text Add to dashboard Cite

Conventionally, several studies indicated that controlling aircraft arrival time in the enroute airspace mitigates arrival aircraft congestion in the terminal airspace. Further research is required to clarify how to leverage this idea to design an air traffic management system, a so-called Extended Arrival MANager (E-AMAN), to reduce the arrival traffic flow while assisting air traffic controllers and boosting their effectiveness quantitatively. Under these circumstances, this research proposed aircraft inter-arrival time control within the en-route airspace and clarified its effectiveness in reducing arrival delay based on mathematical modeling and simulation evaluations. In this paper, we developed the G t /GI/s t + GI tandem fluid model to analyze the time-varying delay time of flights in both en-route and terminal airspace and demonstrated the effect of inter-arrival time control in the upstream arrival traffic flow in the en-route airspace, combining the model with the nonlinear integer programming problem. The calculation results for 3,074 aircraft over 21 days, arriving at Tokyo International Airport between 17:00 and 22:00, show the possibility for the control to reduce the mean and maximum delay time for flights by 18.8% (5.0 s) and 16.5% (37.6 s) on average within the en-route airspace. Moreover, fast-time simulation by AirTOP is conducted to validate the control, revealing the scope to reduce mean and maximum delay times in the terminal airspace by 11.5% (36.5 s) and 19.2% (148.8 s) on average.

show abstract

Section: B Potential Benefits Of Extended-amanmentioning

confidence: 99%

Section: Estimation Of Delay Time Of Flights a Airport And Data For A...mentioning

confidence: 99%

Section: B Comparison Between Combined Model and Simulationmentioning

confidence: 99%

See 1 more Smart Citation

Effectiveness of Aircraft Inter-Arrival Control in Upstream Traffic Flow via a Combined Tandem Fluid Queue Model and Integer Programming Approach

2023

Self Cite

View full text Add to dashboard Cite

show abstract

Controlling Aircraft Inter-Arrival Time to Reduce Arrival Traffic Delay via a Queue-Based Integer Programming Approach

Higasa

Itoh

2022

Aerospace

View full text Add to dashboard Cite

Despite the importance of controlling the inter-arrival times of flights to propose strategies for efficient arrival management by the Arrival Manager (AMAN), the specific guidelines of such adjustments and their effect on reducing delays have not been explicitly considered. Accordingly, this paper proposes a novel approach, which integrates the Gt/GI/st+GI time-varying fluid model and nonlinear integer programming to flatten the arrival rate at terminal gates. This, in turn, is achieved by minimizing the variance in inter-arrival times by penalizing any excessive change in arrival time, considering operational constraints. The results for Tokyo International Airport show potential to significantly reduce arrival traffic delays by minimizing said variance. This study may also spawn subsequent work, which builds a queuing network comprising upstream and terminal airspace and demonstrates the scope to reduce delays in the terminal airspace by controlling inter-arrival times at the upstream airspace.

show abstract

Extraction of Speed-Control Strategy in En-Route Air Traffic using Multi-Objective Optimization and Decision Tree

Cited by 2 publications

References 21 publications

Effectiveness of Aircraft Inter-Arrival Control in Upstream Traffic Flow via a Combined Tandem Fluid Queue Model and Integer Programming Approach

Effectiveness of Aircraft Inter-Arrival Control in Upstream Traffic Flow via a Combined Tandem Fluid Queue Model and Integer Programming Approach

Controlling Aircraft Inter-Arrival Time to Reduce Arrival Traffic Delay via a Queue-Based Integer Programming Approach

Contact Info

Product

Resources

About