Benefits Derived from Arrival Management and Wake Turbulence Re-Categorization in China

Peng, Zihan; Zhang, Junfeng; Xiang, Tong; Wang, Bing; Guo, Hao

doi:10.1177/03611981211017898

Cited by 5 publications

(4 citation statements)

References 10 publications

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“…After the implementation, the wake turbulence separation minima are changed corresponding to the new categorization. In their previous research, the authors have explored the benefits derived from Wake Turbulence Re-categorization ( 21 ). Therefore, the S i , j specified in CCAR-93-R5 is used in this paper.…”

Section: Methodsmentioning

confidence: 99%

“…These regression models are robust enough to estimate delay savings for any version of RECAT at any airport. Peng et al ( 21 ) focus on the evaluation of several KPIs correlated with the arrival operation improvement after implementing the Arrival Management (AMAN) system and RECAT in China (RECAT-CN). However, none of the above studies considered the final intervals performed by different controllers or evaluated with the remaining time before landing.…”

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confidence: 99%

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Data-Driven Analysis of Final Separation Between Successive Landing Aircraft

Zhang

Zhou

et al. 2022

Transportation Research Record: Journal of the Transportation R

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In recent years, with the development of air traffic in China, airspace resources cannot keep up with the growth of traffic demand. Therefore, enhancement of runway capacity by reducing wake turbulence separation has become a research hotspot in the air traffic management field. As there are gaps between theory and practice, many scholars are doing practical operation-based evaluations, focusing on the final separations (intervals) between two successive aircraft. However, few studies have considered the impact of different controllers and the evolution of separations over time. This paper is dedicated to analyzing the final separations between leading and trailing aircraft based on the aircraft trajectories. This study carries out the final separation analysis from static and dynamic perspectives, considering the final separations under different traffic pressures, by different controllers, and in the different segregated and mixed operations. Guangzhou Baiyun International Airport (ZGGG) is taken as an experimental case. The results indicate that the final separation buffer decreases over time. Moreover, under the same high traffic pressures, the final separations could be used to compare the effectiveness of different controllers.

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Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

Data-Driven Analysis of Final Separation Between Successive Landing Aircraft

Zhang

Zhou

et al. 2022

Transportation Research Record: Journal of the Transportation R

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“…The statistics reveal that a large proportion of arrivals (77.16%) was assigned a runway close to the gate, which is higher than that close to EF (59.22%). Since ZGGG started a trial to optimize taxi performance in December 2019 with the arrival manager system (AMAN) decision support tool [37], many more arrivals were assigned a runway close to its gate to reduce potential taxi time. On the contrary, departures still apply a principle to take off at a runway close to its exit fix.…”

Section: Case Studymentioning

confidence: 99%

Delay in the Air or Detour on the Ground?—A Case Study in Guangzhou Baiyun International Airport

Du,

Zhang,

et al. 2023

Aerospace

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Collaboration between terminal airspace and airport surface operation shows an increasing significance for the best efficiency of both parts of the air traffic management domain. Runways play a critical role in connecting the two parts for departure and arrival aircraft. Suppose the gate and the entry fix of an aircraft are predetermined according to the flight plan, and they are on the opposite side of the airport terminal. The aircraft will either spend more time (i.e., delay in the air) landing on a runway close to its gate or take a longer distance (i.e., detour on the ground) taxiing to its gate if a runway close to its entry fix is assigned. This paper proposes a runway assignment model considering terminal airspace operation and airport surface movement simultaneously to discover how runway assignments can affect integrated operations. Four different runway assignment schemes are applied in this model. Subsequently, a metaheuristic method is proposed to solve the model. Furthermore, the historical taxiing and flight time data are analyzed to demonstrate the potential benefits of runway reassignment. Finally, the results show that the free assignment of the runway stands out among the four schemes, not only in the performance of terminal airspace operation (lower flight time) but also in airport surface movement (lower pushback delay, taxi time).

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“…capacity, efficiency and environment [27]. Four KPIs in our previous studies were proposed which closely related to these KPAs, such as airport acceptance rate, final approach separation, flight time within TMA, and taxi-in time [28]. In this paper, taxi-in time is not considered since we only focus on the complexity indicators in the air.…”

Section: Performance Indicators For Arrival Operationmentioning

confidence: 99%

Establishing the Correlation Between Complexity and Performance for Arrival Operations

Zhang

Xiang

Zhou

et al. 2022

PROMTT

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Air traffic complexity indicators play an essential role in measuring operational performance and controller workload. However, current studies mainly depend on the manual scoring method to scale performance or workload. This paper focuses on arrival operations and presents a data-driven strategy to establish the correlation between complexity and performance to avoid the subjectivity of the currently used manual scoring method. Firstly, we present twenty-six indicators for describing air traffic complexity and two indicators for arrival operational performance. Secondly, the clustering method distinguishes peak and off-peak situations for arrival operation. Moreover, clustering results are compared to investigate the correlation between complexity and performance initially. Thirdly, the classification method is adopted to determine such correlation further. In addition, we also identify the affecting factors which could influence operational performance. Finally, trajectories of arrival aircraft landing at Guangzhou Baiyun International Airport (ZGGG) are used for case validation. The results indicate that there is a strong correlation between complexity and performance. The accuracy and precision of classification are approximately 90%. Furthermore, the number of aircraft significantly impacts the arrival operational performance within TMA.

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Benefits Derived from Arrival Management and Wake Turbulence Re-Categorization in China

Cited by 5 publications

References 10 publications

Data-Driven Analysis of Final Separation Between Successive Landing Aircraft

Data-Driven Analysis of Final Separation Between Successive Landing Aircraft

Delay in the Air or Detour on the Ground?—A Case Study in Guangzhou Baiyun International Airport

Establishing the Correlation Between Complexity and Performance for Arrival Operations

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