A survey on artificial intelligence (ai) and explainable ai in air traffic management: Current trends and development with future research trajectory

A Degas, MR Islam, C Hurter, S Barua, H Rahman… - Applied Sciences, 2022 - mdpi.com
Air Traffic Management (ATM) will be more complex in the coming decades due to the
growth and increased complexity of aviation and has to be improved in order to maintain …

[HTML][HTML] Data-driven mid-air collision risk modelling using extreme-value theory

B Figuet, R Monstein, M Waltert, J Morio - Aerospace Science and …, 2023 - Elsevier
Mid-air collision risk estimation is crucial for maintaining aviation safety and improving the
efficiency of air traffic procedures. This paper introduces a novel, data-driven methodology …

基于多智能体建模和蒙特卡洛仿真的跑道容量评估

陈正磊, 种小雷, 刘超佳, 邵斌, 耿昊… - 交通运输工程 …, 2023 - transport.chd.edu.cn
分析了飞机编队动力学特性以及机场组织模式, 管制方式和飞行方式等特征,
建立了跑道容量计算模型和跑道运行模型; 以中距平行双跑道半混合运行模式和混合运行模式 …

Probabilistic modeling and reasoning of conflict detection effectiveness by tracking systems towards safe urban air mobility operations

W Dai, ZH Quek, KH Low - Reliability Engineering & System Safety, 2024 - Elsevier
This study targets the scenario where centralized tracking systems provide tactical conflict
detection for urban air mobility (UAM) flights. In this scenario, the interaction between …

Analysis of safety performance of tracking services based on simulation of unmitigated uas conflicts

ZHZ Quek, W Dai, KH Low - AIAA SciTech 2023 forum, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-0607. vid Tracking systems are a
core component of future UAS Traffic Management (UTM) systems. This study aims at …

Analysis of UTM Tracking Performance for Conformance Monitoring via Hybrid SITL Monte Carlo Methods

W Dai, ZH Quek, B Pang, M Feroskhan - Drones, 2023 - mdpi.com
Conformance monitoring supports UTM safety by observing if unmanned aircraft (UA) are
adhering to declared operational intent. As a supporting system, robust cooperative tracking …

[PDF][PDF] Mid-air collisions with drones

H Fricke, S Förster, R Brühl, WJ Austen, C Thiel - ATM Seminar, 2021 - researchgate.net
Drone products are evolving rapidly and are increasingly popular with consumers and for
professional applications. There is also ongoing development of commercial platforms eg …

Data-driven airborne collision risk modelling using a probability density function

B Figuet, R Monstein, B Steven - 15th Air Traffic …, 2023 - digitalcollection.zhaw.ch
This paper introduces a novel data-driven mid-air collision risk model for an aircraft flying
through a flow of aircraft, modelled using a probability density function to describe position …

Runway capacity evaluation based on multi-agent modeling and Monte Carlo simulation

C Zheng-lei, C Xiao-lei, LIU Chao-jia, G Hao… - 交通运输工程 …, 2023 - transport.chd.edu.cn
The dynamic characteristics of aircraft formation and the characteristics of airport
organization mode, control mode, and flight mode were analyzed, and the runway capacity …

A collision risk assessment method for runway threshold management: a case study of Singapore Changi Airport

H Ang, Q Cai, S Alam - Case studies on transport policy, 2020 - Elsevier
Airports are indispensable infrastructures in an air transportation system with runways being
the most critical component serving departures and arrivals. With constant increase in …