Related Experiment Video
Updated: Nov 17, 2025
11:41
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
Published on: February 1, 2020
20.7K
Sensors and Communication Simulation for Unmanned Traffic Management
David Carramiñana1, Iván Campaña1, Luca Bergesio1
1Information Processing and Telecommunications Center, Universidad Politécnica de Madrid, 28040 Madrid, Spain.
Sensors (Basel, Switzerland)
|February 12, 2021
Summary
This study introduces an agent-based simulation platform for Unmanned Traffic Management (UTM) systems. The simulator accurately recreates complex drone operation scenarios, overcoming limitations of real-world testing.
Area of Science:
- Aerospace Engineering
- Computer Science
Background:
- Unmanned Traffic Management (UTM) systems are crucial for integrating drones into airspace.
- Current testing methods for UTM systems are costly, limited, and difficult to repeat.
Purpose of the Study:
- To develop an agent-based simulation platform for evaluating UTM systems.
- To simulate UTM information sources and actor interactions for system-level assessment.
Main Methods:
- Implemented a microservice architecture for an agent-based simulation platform.
- Modeled UTM actors (drones, pilots, ground control stations), communications, and sensors.
- Incorporated simulation of contingencies like communication failures.
Main Results:
- The platform successfully simulates drone trajectory, control, and command and control links.
- It accurately models drone detection by surveillance and mobile communication networks.
- Complex scenarios, including unexpected events, were truthfully recreated.
Conclusions:
- The proposed simulation platform effectively mitigates the disadvantages of real-world UTM testbeds.
- This agent-based simulator provides a scalable and repeatable method for UTM system evaluation.
