Lateral collision risk assessment of parallel routes in ocean area based on space-based ADS-B

Lu, Fei; Chen, Zichen; Chen, Huiyu

doi:10.1016/j.trc.2021.102970

Cited by 9 publications

(7 citation statements)

References 25 publications

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“…This method, based on communication, navigation, and surveillance performance, takes into account the positioning errors in radar control environments, and assesses the collision risks in all three directions of parallel air routes. This model is not only theoretically easy to understand but also has strong practical application capabilities when combined with data, and is widely used in assessing the collision risks of aircraft in various operational scenarios, including air routes [24] and terminal areas [25]. Based on the aforementioned model, a summary of the research on aircraft collision risk can be obtained, as presented in Table 1.…”

Section: Literature Reviewmentioning

confidence: 99%

From Route Structure to Human Factors: A Comprehensive Study of Safe Separation on Intersecting Air Routes

Lu,

Wang,

Zhang

2024

Applied Sciences

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The assessment of collision risk at intersecting air routes is a crucial method for determining safe separation during aircraft route flights. This paper employs the Monte Carlo method to analyze the operational characteristics of aircraft on intersecting air routes in two stages, integrating the influence of the human-operated adjustment process on the distance between the two aircrafts, so as to propose a collision risk assessment model more aligned with the actual operational process. The initial stage considers the positional errors to establish a distance distribution function between trailing and leading aircraft when the latter reaches the intersection. The subsequent stage calculates the minimum distance between the aircraft by combining the kinematic equations with the controller’s thinking and reactions, communications, the pilot’s reactivity, and time required for aircraft maneuvering. Ultimately, based on the intersection course configuration, Monte Carlo simulations were employed to assess the impact of variables, such as magnetic course and aircraft speed distribution, on collision risk. The study’s findings highlight the significance of aircraft positioning capabilities and speed maintenance performance. It also reveals that the collision risk results, simulated from various perspectives, offer a theoretical foundation for the development of intersecting air routes.

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Section: Literature Reviewmentioning

confidence: 99%

From Route Structure to Human Factors: A Comprehensive Study of Safe Separation on Intersecting Air Routes

Lu,

Wang,

Zhang

2024

Applied Sciences

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“…Currently, the first and only space-based ADS-B system in the world has been established by Aireon Company and the satellite orbit altitude of this system is 780 km. Assuming two civil aviation aircraft flying on adjacent routes with a maximum cruising altitude of 12 km, their minimum lateral separation can be up to 40 n miles (when flying over the ocean) (Lu et al., 2021). If the ADS-B signals emitted by the two aircraft overlap, the largest DDOA between the overlapped signal is approximately 5 ⋅ 52 °.…”

Section: The Problem Of Space-based Ads-b Signal Separationmentioning

confidence: 99%

A high-precision and efficient algorithm for space-based ADS-B signal separation

Jia

2023

J. Navigation

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Space-based automatic dependent surveillance-broadcast (ADS-B) receivers can cover thousands of aircraft, each transmitting 6 ⋅ 2 signals per second. As a result, ADS-B signals are very prone to overlap. When the number of aircraft covered by a receiver reaches 3,000, about 90 % of the signals will be overlapping. Overlapped signals can reduce the decoding accuracy of receivers, so that aircraft information cannot be accurately transmitted to the air traffic control (ATC) surveillance system, hence threatening aviation flight safety. It is necessary to propose signal separation algorithms for space-based ADS-B systems. An orthogonal projection linear constrained minimum variance (OPLCMV) algorithm is proposed, which can separate two signals simultaneously based on the linearly constrained minimum variance algorithm by exploiting the characteristics of overlapped signals. Compared with the state-of-the-art extended projection algorithm and the fast independent component analysis algorithm, the OPLCMV method has a higher decoding accuracy for multiple overlapping signals with a small direction difference of arrival or frequency shift. Moreover, the OPLCMV algorithm has a low computational complexity when the number of overlapped signal sources is less than seven.

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“…Video Image Detection (VID) System/ADS-B Transponder Receiver. ADS-B determines the aircraft's position via satellite navigation and periodically broadcasts it to the ATC ground station (24,25). The VID / ADS-B transponder receiver is a commercial application example, where VID is originally used to automate the aircraft billing process by analyzing an image of the aircraft registration number, and transponder receiver is used to count aircraft operations by detecting ADS-B transmissions (2).…”

Section: Automated Acoustical Counter (Aac)mentioning

confidence: 99%

Automated Video-Based Air Traffic Surveillance System for Counting General Aviation Aircraft Operations at Non-Towered Airports

Farhadmanesh

Marković

Rashidi

2022

Transportation Research Record: Journal of the Transportation R

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The vast majority of U.S. airports are not equipped with control towers, which limits their ability to keep records of flight operations. Attempts have been made to use sensor-based technologies to count aircraft operations at non-towered airports; however, they exhibit limited accuracy. To this end, we developed an automated video-based surveillance system capable of detecting general aviation aircraft departure and landing operations, which comprise the vast majority of operations at non-towered airports. The proposed computer vision method is comprised of three modules: aircraft detection, aircraft tracking, and operations count and classification. We explored different camera layouts and state-of-the-art machine learning and deep learning methods to determine the best settings to extract operations trajectory features for operations count and classification. The proposed method was tested at five non-towered airports. Integrating deep-neural-network-based aircraft detectors and image-correlation-based aircraft trackers achieved an accuracy of about 95%, while ensuring processing times that are needed for real-time implementation.

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Lateral collision risk assessment of parallel routes in ocean area based on space-based ADS-B

Cited by 9 publications

References 25 publications

From Route Structure to Human Factors: A Comprehensive Study of Safe Separation on Intersecting Air Routes

From Route Structure to Human Factors: A Comprehensive Study of Safe Separation on Intersecting Air Routes

A high-precision and efficient algorithm for space-based ADS-B signal separation

Automated Video-Based Air Traffic Surveillance System for Counting General Aviation Aircraft Operations at Non-Towered Airports

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