Optimizing collision avoidance in dense airspace using deep reinforcement learning

S Li, M Egorov, M Kochenderfer - arXiv preprint arXiv:1912.10146, 2019 - arxiv.org
New methodologies will be needed to ensure the airspace remains safe and efficient as
traffic densities rise to accommodate new unmanned operations. This paper explores how …

Unmanned aircraft system traffic management (UTM) simulation of drone delivery models in 2030 Japan

A Oosedo, H Hattori, I Yasui, K Harada - Journal of Robotics and …, 2021 - jstage.jst.go.jp
An unmanned aircraft system traffic management (UTM) system to support flights beyond
visual line-of-sight is considered necessary for the promotion of commercial drone use. In …

Fairness in decentralized strategic deconfliction in UTM

AD Evans, M Egorov, S Munn - AIAA Scitech 2020 Forum, 2020 - arc.aiaa.org
Decentralized strategic deconfliction is a critical function in Unmanned Aircraft System (UAS)
Traffic Management (UTM), that serves as the enabler of safe operations for cooperative …

Integrated conflict management for uam with strategic demand capacity balancing and learning-based tactical deconfliction

S Chen, AD Evans, M Brittain… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Urban air mobility (UAM) has the potential to revolutionize our daily transportation, offering
rapid and efficient deliveries of passengers and cargo between dedicated locations within …

A vehicle routing problem with movement synchronization of drones, sidewalk robots, or foot-walkers

P Deng, G Amirjamshidi, M Roorda - Transportation research procedia, 2020 - Elsevier
The vehicle routing problem (VRP) and its variants have many city logistics applications,
such as goods delivery. The VRP extension with movement synchronization (VRPMS) has …

Safety assessment of utm strategic deconfliction

AD Evans, M Egorov, A Anand, SE Campbell… - AIAA Scitech 2023 …, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-0965. vid This work outlines and
applies a simulation driven methodology for safety analysis of Unmanned Traffic …

Estimating airspace resource capacity for advanced air mobility operations

S Chen, P Wei, AD Evans, M Egorov - AIAA AVIATION 2022 Forum, 2022 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2022-3317. vid Demand capacity
balancing (DCB) has been proposed as a strategic mechanism to balance efficiency and …

UAS conflict resolution in continuous action space using deep reinforcement learning

J Hu, X Yang, W Wang, P Wei, L Ying… - AIAA AVIATION 2020 …, 2020 - arc.aiaa.org
Ensuring safety and providing obstacle conflict alerts to small unmanned aircraft is vital to
their integration into civil airspace. There are many techniques for real-time robust drone …

Encounter aware flight planning in the unmanned airspace

M Egorov, V Kuroda, P Sachs - … , Navigation and Surveillance …, 2019 - ieeexplore.ieee.org
Ensuring safe and efficient operations for unmanned aircraft is vital to their integration into
the civil airspace. This paper proposes a set of encounter-based metrics that can be used to …

Stress testing of UAS traffic management decision making systems

X Yang, M Egorov, A Evans, S Munn… - AIAA AVIATION 2020 …, 2020 - arc.aiaa.org
The emergence of new operations, such as package delivery and air taxis, that could co-
exist in the current airspace has been a topic of great interest in recent years. A big …