Modelling and Simulation of Collaborative Surveillance for Unmanned Traffic Management

Abstract

Unmanned traffic management (UTM) systems rely on collaborative position reporting to track unmanned aerial system (UAS) operations over wide unsurveilled (with counter-UAS systems) areas. Many different technologies, such as Remote-ID, ADS-B, FLARM, or MLAT might be used for this purpose, in addition to the direct exploitation of C2 telemetry, relayed though cellular networks. This paper provides an overview of the most used collaborative sensors and surveillance systems in this context, analyzing their main technical parameters and performance effects. In addition, this paper proposes an abstracted general statistical simulation model covering message encoding, network capacity and access, sensors coverage and distribution, message transmission and decoding. Making use of this abstracted model, this paper proposes a particularized set of simulation models for ADS-B, FLARM and Remote-Id; it is thus useful to test their potential integration in UTM systems. Finally, a comparative analysis, based on simulation, of these systems, is performed. It is shown that the most relevant effects are those related with quantification and the potential saturation of the communication channels leading to collisions and delays.

Analysis of Safety Performance of Tracking Services Based on Simulation of Unmitigated UAS Conflicts

“…For urban operations, Cost, Size, Weight and Power (CSWaP) considerations motivate the adoption of cooperative tracking schemes [4]. Thus, a cooperative tracking service plays a foundational role in enabling tactical (real-time) deconfliction in future ATM systems; such a service accordingly features in various UTM concepts of operations, including FAA's UTM Concept of Operations [5], European CORUS's U-Space [6], Korea's UTM Architecture [7] and ICAO's framework for global UTM harmonization [8].…”

A Coordinated Vehicle–Drone Arc Routing Approach Based on Improved Adaptive Large Neighborhood Search

“…At present, there are problems such as poor pertinence, inflexibility, and untimely monitoring in traditional police patrols using ground vehicles. By developing civil drones and making full use of their flexibility, mobility, and timeliness, the efficiency of urban traffic patrols can be further improved [ 2 ]. However, the widespread application of drones is limited by their battery capacities [ 3 ].…”