UAS traffic management (UTM) simulation capabilities and laboratory environment

Homola, Jeffrey; Prevôt, Thomas; Mercer, Joey; Bienert, Nancy; Gabriel, Conrad

doi:10.1109/dasc.2016.7778078

Cited by 7 publications

(5 citation statements)

References 2 publications

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“…If we focus on simulation oriented to UTM systems, the number of publicly available tools is very reduced. As a result of NASA’s developments to investigate UTM systems, a set of tools [ 26 ] has been created that allows defining drone trajectories as a list of waypoints and simulating in real time drone movements in order to generate position report messages (telemetry). This simulator also allows manual control in order to introduce contingencies in the trajectories.…”

Section: Related Workmentioning

confidence: 99%

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Sensors and Communication Simulation for Unmanned Traffic Management

Carramiñana

Campaña

Bergesio

et al. 2021

Sensors

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Unmanned traffic management (UTM) systems will become a key enabler to the future drone market ecosystem, enabling the safe concurrent operation of both manned and unmanned aircrafts. Currently, these systems are usually tested by performing real scenarios that are costly, limited, hardly scalable, and poorly repeatable. As a solution, in this paper we propose an agent-based simulation platform, implemented through a micro service architecture, which may simulate UTM information sources, such as flight plans, telemetry messages, or tracks from a surveillance network. The final objective of this simulator is to use these information streams to perform a system-level evaluation of UTM systems both in the pre-flight and in-flight stages. The proposed platform, with a focus on simulation of communications and sensors, allows to model UTM actors’ behaviors and their interactions. In addition, it also considers the manual definition of events to simulate unexpected behaviors/events (contingencies), such as communications failures or pilots’ actions. In order to validate our architecture, we implemented a simulator that considers the following actors: drones, pilots, ground control stations, surveillance networks, and communications networks. This platform enables the simulation of the drone trajectory and control, the C2 (command and control) link, drone detection by surveillance sensors, and the communication of all agents by means of a mobile communications network. Our results show that it is possible to truthfully recreate complex scenarios using this simulator, mitigating the disadvantages of real testbeds.

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Section: Related Workmentioning

confidence: 99%

“…In fact, no previous literature has been found for drone surveillance networks or sensors. Furthermore, simulators are not conceived to be integrated with a UTM system for evaluation (except the system proposed in [ 26 ]) and thus data exchange with UTM platforms is disregarded focusing only on C2 and V2V communications.…”

Section: Related Workmentioning

confidence: 99%

Sensors and Communication Simulation for Unmanned Traffic Management

Carramiñana

Campaña

Bergesio

et al. 2021

Sensors

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“…NASA's UTM project has a well-developed simulations infrastructure and capability [6]. The many variations of operations, volumes, and associated messaging and procedures were developed and extensively tested in a laboratory setting through simulation.…”

Section: Tcl 2 Demonstration Backgroundmentioning

confidence: 99%

Technical capability level 2 unmanned aircraft system traffic management (UTM) flight demonstration: Description and analysis

Homola

Dao

Martin

et al. 2017

2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC)

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NASA's UAS Traffic Management (UTM) project concluded its second flight demonstration activity in late October 2016. This activity demonstrated the capabilities and functionality incorporated into its Technical Capability Level 2 (TCL 2) concept, which envisions future operations that are low density, capable of being performed over sparsely populated areas, and allow for a concurrent mix of longer duration, beyond visual-line-of-sight flights and shorter flights within visual-lineof-sight (VLOS). To incorporate these features into a flight demonstration, a scenario-based approach was taken to address different aspects of the TCL 2 environment and to meet defined objectives. This paper will describe elements of how the flight activity was conducted and present analyses regarding UTM operations, system messages, and alerting as they pertained to meeting the demonstration objectives and shedding light on research questions and lessons learned.

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“…The second approach is based on open sources and platforms, which is preferred by small research sectors and academia because they can concentrate on UTM-relevant researches, not putting much labor and expenses into building simulator platforms and tools. UTM simulator studies include "A Simulation Framework for Fast Design Space Exploration of Unmanned Air System Traffic Management Policies" [5], "UAS Traffic Management (UTM) Simulation Capabilities and Laboratory Environment" [6], "A UTM simulator based on ROS and Gazebo" [7], and U-Flyte's UTM Simulator [8].…”

Section: Introductionmentioning

confidence: 99%

Development of a Flexible and Expandable UTM Simulator Based on Open Sources and Platforms

Yoon¹,

Shin

Choi³

et al. 2021

Aerospace

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In order to study air traffic control of UAS’s (Unmanned Aerial Systems) in very low altitudes, the UTM (UAS Traffic Management) simulator has to be as flexible and expandable as other research simulators because relevant technologies and regulations are not matured enough at this stage. Available approaches using open sources and platforms are investigated to be used in the UTM simulator. The fundamental rationale for selection is availability of necessary resources to build a UTM simulator. Integration efforts to build a UTM simulator are elaborated, using Ardupilot, MavProxi, Cesium, and VWorld, which are selected from the thorough field study. Design requirements of a UTM simulator are determined by analyzing UTM services defined by NASA (National Aeronautics and Space Administration) and Eurocontrol. The UTM simulator, named eUTM, is composed of three components: UOS (UTM Operating System), UTM, and multiple GCSs (Ground Control Stations). GCSs are responsible for generation of flight paths of various UASs. UTM component copies functions of a real UTM such as monitoring and controlling air spaces. UOS provides simulation of environment such as weather, and controls the whole UTM simulator system. UOS also generates operation scenarios of UTM, and resides on the same UTM computer as an independent process. Two GCS simulators are connected to the UTM simulator in the present configuration, but the UTM simulator can be expanded to include up to 10 GCS simulators in the present design. In order to demonstrate the flexibility and expandability of eUTM simulator, several operation scenarios are realized and typical deconfliction scenarios among them are tested with a deconfliction algorithm. During the study, some limits are identified with applied open sources and platforms, which have to be resolved in order to obtain a flexible and expandable UTM simulator supporting relevant studies. Most of them are related to interfacing individual sources and platforms which use different program languages and communication drivers.

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UAS traffic management (UTM) simulation capabilities and laboratory environment

Cited by 7 publications

References 2 publications

Sensors and Communication Simulation for Unmanned Traffic Management

Sensors and Communication Simulation for Unmanned Traffic Management

Technical capability level 2 unmanned aircraft system traffic management (UTM) flight demonstration: Description and analysis

Development of a Flexible and Expandable UTM Simulator Based on Open Sources and Platforms

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