Management of holding patterns: A potential ADS-B application

Smith, Arthur P.; Bateman, Hilton

doi:10.1109/dasc.2008.4702811

Cited by 2 publications

(2 citation statements)

References 1 publication

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“…It was investigated in summer, 2005, almost 60 aircrafts have spent more than 15 min in the holding stack each day in Hartsfield-Jackson Atlanta International Airport, which are mainly caused by rain [22]. In the summer of 2007, it was observed in Newark airport that the holding time spent for all arrival aircrafts is almost 15 000 min, and in 55% holding time, there exists more than two aircrafts in the holding stack [23]. It was also observed in Heathrow airport that the average holding time for each arriving aircraft is 4 min from July to October in 2012 [24].…”

Section: Scenario Descriptionmentioning

confidence: 99%

ADS‐B aided robust relay selection for cooperative communications in aircraft approach

Hua

Chen

et al. 2014

Int J Communication

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The ground-to-air communications in the aircraft approach stage suffer from multipath fading. We propose to combat this problem using cooperative communication technique. The relay selection problem is formulated to minimize the spectrum cost while preserving the signal-to-noise-ratio (SNR) outage requirement of the approaching aircraft. By leveraging the position and velocity information in the automatic dependent surveillance-broadcast messages, the average channel gains can be derived with uncertainty sets based on the Ricean channel model. Because the outage probability of the received SNR is intractable, we transform the outage constraint into a simple but efficient reliability requirement. The formulated problem is a mixed integer nonlinear optimization problem, with robustness in the worst-case average SNR. A robust greedy relay selection algorithm is proposed as a solution, whereby a Kalman filter based trace prediction algorithm is adopted to determine the order of relays. Simulation results are given to show the effectiveness of the proposed scheme. -B of the aircraft under serious weather condition, the synthetic vision system (SVS) [2] has been developed to extend the visual range of the pilot. The SVS can integrate the position information from global positioning system and inertial navigation system with the traffic information from the control tower, which are displayed on the screen to help the pilot make decisions. In SVS, data link technology is adopted for the signal transmission from the control tower to the approaching aircraft. However, because of the high speed and low elevation of the approaching aircraft, the performance of point-to-point data link suffers from serious multipath fading in the flight test [3,4].In the last decade, cooperative communication technique has received much attention in the communication society [5][6][7], which is proved to be effective in combating multipath fading by exploiting the spatial diversity of the relay nodes. In our work, we consider the application of cooperative communication technique in the aircraft approach scenario. Considering the requirement RELAY SELECTION FOR COOPERATIVE COMMUNICATIONS IN AIRCRAFT APPROACH 115 ‡ Straight-in approach means the final approach has begun without first executing a procedure turn, and the trace of the aircraft approach follows the extended runway centerline. In fact, the approaching pattern only determines the mobility pattern of the aircrafts. The analysis and algorithm in our paper still work under other approaching patterns. § The simulation is conducted on MATLAB 7.0.1, where the system configurations are : Intel(R) Core(TM)2 Duo CPU E7200@2.53GHz, 2G RAM, 32bit OS.

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Section: Scenario Descriptionmentioning

confidence: 99%

ADS‐B aided robust relay selection for cooperative communications in aircraft approach

Hua

Chen

et al. 2014

Int J Communication

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“…Previous studies have already assessed how ADS-B technology could be used in the airport environment to improve predictability when sequencing arrival flows [75,76]; to monitor and optimize aircraft movement on the ground [77,78]; to help manage runway occupancy times [79]; to complement and evaluate Airport Collaborative Decision Making (A-CDM) operational milestones [80]; to ensure airport surface surveillance [81,82]; and to increase safety by facilitating better situational awareness of departure flows [83]. These studies discuss the application of ADS-B technology and present potential uses with different approaches: some are based on post-operational data analysis [75,[77][78][79][80][81]83,84], while some represent real field trials [76,82].…”

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confidence: 99%

Cost–Benefit Analysis of Investments in Air Traffic Management Infrastructures: A Behavioral Economics Approach

Rodríguez–Sanz

Andrada

2023

Aerospace

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An important and challenging question for airport operators is the management of airport capacity and demand. Airport capacity depends on the available infrastructure, external factors, and operating procedures. Investments in Air Traffic Management (ATM) infrastructures mainly affect airside operations and include operational enhancements to improve the efficiency, reliability, and sustainability of airport operations. Therefore, they help increase capacity while limiting the impact on the airport infrastructure itself. By reviewing the neoclassical valuation principles for Cost–Benefit Analysis (CBA), we find that it does not consider relevant behavioral economic challenges to conventional analysis, particularly: failure of the expected utility hypotheses, dependence of valuations on reference points, and time inconsistency. These challenges are then incorporated through practical guidelines into the traditional welfare model to achieve a new methodology. We propose a novel CBA behavioral framework for investments in ATM infrastructures to help policy makers and airport operators when faced with a capacity development decision. This is complemented with a practical example to illustrate and test the applicability of the proposed model. The case study evaluates the deployment of Automatic Dependent Surveillance–Broadcast (ADS–B) as an investment aimed at improving ATM operational procedures in the airport environment by providing advanced ground surveillance data. This allows airport operators to discover the causes of taxi congestion and safety hotspots on the airport airside. The benefits of ADS–B are related to enhanced flight efficiency, reduced environmental impact, increased airport throughput, and improved operational predictability and flexibility, thus reducing waiting times. At the airport level, reducing the waiting times of aircraft on the ground would lead to a capacity release and a reduction in delays. The results show that, following a traditional CBA, the investment is clearly viable, with a strong economic return. Including behavioral notions allows us to propose a new evaluation framework that complements this conclusion with a model that also considers inconsistencies in time and risk perception. A positive Net Present Value can turn into a negative prospect valuation, if diminishing sensitivity and loss aversion are considered. This explains the reticent behavior of decision makers toward projects that require robust investments in the short-term, yet are slow to generate positive cash flows. Finally, we draw conclusions to inform policy makers about the effects of adopting a behavioral approach when evaluating ATM investments.

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Management of holding patterns: A potential ADS-B application

Cited by 2 publications

References 1 publication

ADS‐B aided robust relay selection for cooperative communications in aircraft approach

ADS‐B aided robust relay selection for cooperative communications in aircraft approach

Cost–Benefit Analysis of Investments in Air Traffic Management Infrastructures: A Behavioral Economics Approach

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