Analyzing the Departure Runway Capacity Effects of Integrating Optimized Continuous Climb Operations

Díaz, Manuel Villegas; Comendador, Fernando Gómez; García-Heras, Javier; Valdés, Rosa María Arnaldo

doi:10.1155/2019/3729480

Cited by 6 publications

(4 citation statements)

References 7 publications

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“…V-Open Multirunway Capacity Model. Wake turbulence was one of the main factors influencing the design of the V-open multirunway capacity model [23,24]. At domestic hub airports, the number of medium aircraft accounts for 99% and heavy aircraft accounts for 1% at Chinese domestic hub airports.…”

Section: Collision Risk Modelmentioning

confidence: 99%

An Improved Runway Operation Capacity Model for V-Open Multirunway Airports in China

Shen

et al. 2022

Journal of Advanced Transportation

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Diverging runways are receiving considerable attention as replacements for parallel runways when constructing three or more runways in China. This has been prompted by the limitations associated with a single-direction airspace and associated regulations when using parallel runways. However, the operating efficiency of diverging runways is still greatly constrained by the separation standard for departing aircraft in CCAR-93TM-R5 and Decree of CAAC NO.123. To address these problems, an improved runway operation capacity model for a V-open multirunway airport is proposed to reduce the separation standard based on the equivalent lateral separation operation (ELSO) standard. A collision risk module is first proposed to assess the feasibility and safety of the proposed policy. Also, a novel runway capacity model for V-open multiple runways is then built to improve the operating efficiency for diverging runway. A series of comparative experiments based on actual flight data from Chengdu Tianfu International Airport demonstrated that reducing the divergence angle from 15° to 10° improved the runway operation capacity by about 8% based on the proposed improved policy. These research results could play a major role in facilitating appropriate amendments to the associated CAAC operation regulations.

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Section: Collision Risk Modelmentioning

confidence: 99%

An Improved Runway Operation Capacity Model for V-Open Multirunway Airports in China

Shen

et al. 2022

Journal of Advanced Transportation

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“…It is worth noting that these studies were simply focused on single runway scheduling instead of multiple runways. In the recent decade, more research efforts have been made for multi-runway scheduling and mixed mode operation in order to narrow down the research and practice gap (Hancerliogullari et al, 2013;Villegas Díaz, Gómez Comendador, García-Heras Carretero, & Arnaldo Valdés, 2019). Other than deterministic based research, stochastic and robust scheduling were proposed to counteract the upstream uncertainty and absorb the minor disturbances in flight schedules (Cai, Jia, Zhu, & Xiao, 2015).…”

Section: Related Studiesmentioning

confidence: 99%

The impact of heterogeneous arrival and departure rates of flights on runway configuration optimization

Lee

Zhang

et al. 2020

Transportation Letters

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The rapid growth of the airline industry has caused an enormous demand in the context of air transport and air traffic congestion in several hub airports. In order to alleviate this situation and resolve the imbalance between the arrival and departure rate, efficient runway usage in airport capacity management is an immediate and feasible solution as compared to airport expansion and runway construction. Air Traffic Control (ATC) operators could optimise their runway capacity by operating dynamic runway configuration in switch mode runways based on the air and airport traffic conditions. A semi-mixed mode runway is considered in this paper, wherein some runways are configured for either landing or take-off operations, while others are operated in switch mode.The demand for arrival and departure is subject to the passengers demand, flight availability and timings, preferred flight schedule and frequency of flight schedule service, and usually vary in different hours (peak and non-peak hours). Given this feature, ATC can reconfigure the runway mode responding to the current demand for arrival and departure and further seize the runway capacity via systematic approach. Under the semi-mixed mode situation, formulating the coordination of dynamic runway configuration planning and the Aircraft Sequencing and Scheduling Problem is proposed. The air traffic pattern in Hong Kong International Airport (HKIA) is used as a test case to evaluate the performance of this proposed model. Based on the test results, it was found that this dynamic runway configuration planning and semi-mixed runway design can utilise runway capacity more efficiently. In the numerical study, the dynamic runway configuration planning achieved 71.6%% and 37.08% reduction of flight tardiness than the two segregated runways systems (two landing and one takeoff runways and one landing and two take-off runways) in HKIA.

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“…The goal of optimal control is to find the “controls” for a dynamical system which allow us to reach a desired outcome by minimizing (or maximizing) an objective functional. Optimal control theory has been used to optimize policies and practices for a wide variety of industries including economics (Sheng et al (2014); Wu et al (2015); Li et al (2019); Kaszkurewicz and Bhaya (2022)), aerospace technologies (Benson (2005); Longuski et al (2014); Villegas Díaz et al (2019); García-Heras et al (2019); Sun et al (2019); Zhao et al (2019)), and the medical field (Martin and Teo (1994); Jung et al (2002); Ledzewicz et al (2013); Wang and Schättler (2016); Ledzewicz and Moore (2017); Ratajczyk et al (2018); Moore et al (2018); Fernández and Pola (2019); Ledzewicz et al (2019); Gutiérrez-Diez and Russo (2020); Jarrett et al (2020); Sharp et al (2020); Rautela et al (2023); Luo et al (2023); Valega-Mackenzie et al (2024)). Control theory was even used in the development of the “artificial pancreas,” which became FDA approved in 2016 for patients with type 1 diabetes (FDA (2016)).…”

Section: Introductionmentioning

confidence: 99%

Optimal control of combination immunotherapy for a virtual murine cohort in a glioblastoma-immune dynamics model

Anderson,

Takacs,

Harrison

et al. 2024

Preprint

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The immune checkpoint inhibitor anti-PD-1, commonly used in cancer immunotherapy, has not been successful as a monotherapy for the highly aggressive brain cancer glioblastoma. However, when used in conjunction with a CC-chemokine receptor-2 (CCR2) antagonist, anti-PD-1 has shown efficacy in preclinical studies. In this paper, we aim to optimize treatment regimens for this combination immunotherapy using optimal control theory. We extend a treatment-free glioblastoma-immune dynamics ODE model to include interventions with anti-PD-1 and the CCR2 antagonist. An optimized regimen increases the survival of an average mouse from 32 days post-tumor implantation without treatment to 111 days with treatment. We scale this approach to a virtual murine cohort to evaluate mortality and quality of life concerns during treatment, and predict survival, tumor recurrence, or death after treatment. A parameter identifiability analysis identifies five parameters suitable for personalizing treatment within the virtual cohort. Sampling from these five practically identifiable parameters for the virtual murine cohort reveals that personalized, optimized regimens enhance survival: 84% of the virtual mice survive to day 100, compared to 60% survival in a previously-studied experimental regimen. Subjects with high tumor growth rates and low T cell kill rates are identified as more likely to die during and after treatment due to their compromised immune systems and more aggressive tumors. Notably, the MDSC death rate emerges as a long-term predictor of either disease-free survival or death.

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Analyzing the Departure Runway Capacity Effects of Integrating Optimized Continuous Climb Operations

Cited by 6 publications

References 7 publications

An Improved Runway Operation Capacity Model for V-Open Multirunway Airports in China

An Improved Runway Operation Capacity Model for V-Open Multirunway Airports in China

The impact of heterogeneous arrival and departure rates of flights on runway configuration optimization

Optimal control of combination immunotherapy for a virtual murine cohort in a glioblastoma-immune dynamics model

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