RflyUT-Sim: A Simulation Platform for Development and Testing of Complex Low-Altitude Traffic Control
Zonghan Li, Tianwen Tao, Rao Fu, Liang Wang, Dongyuan Zhang, Quan Quan

TL;DR
This paper presents RflyUT-Sim, a high-fidelity, customizable simulation platform for low-altitude UAV traffic, integrating multiple components and real-world modeling techniques to facilitate research and testing in UAV traffic management.
Contribution
It introduces an integrated simulation platform combining high-precision UAV and scenario models with comprehensive traffic management features, enhancing research capabilities.
Findings
Supports complex low-altitude traffic scenarios
Provides high-fidelity UAV and environment simulation
Open-source platform for research and development
Abstract
Significant challenges are posed by simulation and testing in the field of low-altitude unmanned aerial vehicle (UAV) traffic due to the high costs associated with large-scale UAV testing and the complexity of establishing low-altitude traffic test scenarios. Stringent safety requirements make high fidelity one of the key metrics for simulation platforms. Despite advancements in simulation platforms for low-altitude UAVs, there is still a shortage of platforms that feature rich traffic scenarios, high-precision UAV and scenario simulators, and comprehensive testing capabilities for low-altitude traffic. Therefore, this paper introduces an integrated high-fidelity simulation platform for low-altitude UAV traffic. This platform simulates all components of the UAV traffic network, including the control system, the traffic management system, the UAV system, the communication network , the…
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Taxonomy
TopicsUAV Applications and Optimization · Air Traffic Management and Optimization · Robotic Path Planning Algorithms
