U-TRAFMAN: Unmanned traffic management simulator

U-TRAFMAN is a software platform created for simulating scenarios where unmanned traffic management (UTM) is needed, such as U-space. Specifically, the tool allows for the development and evaluation of future services for UTM, the design and verification of aircraft control software, and the collection of data and telemetry for subsequent analysis. The platform is built on the ROS ecosystem, integrating Gazebo and Matlab with the aim of providing a realistic environment with a wide and extensible variety of features and functionalities.

Authors

Institutions

Publication Details

Journal
SoftwareX
Published
2025-02-24
DOI
https://doi.org/10.1016/j.softx.2025.102096
Citations
4
Primary Topic
Simulation Techniques and Applications
Type
article
Field-Weighted Citation Impact
8.43

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

U-TRAFMAN: Unmanned traffic management simulator

Rafael Casado, Jesús Rentero Jover, Aurelio Bermúdez
4 citations
SoftwareX
Simulation Techniques and Applications
8.43
article

U-TRAFMAN: Unmanned traffic management simulator

Rafael Casado, Jesús Rentero Jover, Aurelio Bermúdez
article en
4 citations

Abstract

U-TRAFMAN is a software platform created for simulating scenarios where unmanned traffic management (UTM) is needed, such as U-space. Specifically, the tool allows for the development and evaluation of future services for UTM, the design and verification of aircraft control software, and the collection of data and telemetry for subsequent analysis. The platform is built on the ROS ecosystem, integrating Gazebo and Matlab with the aim of providing a realistic environment with a wide and extensible variety of features and functionalities.

SoftwareXVol. 30
University of Castilla-La Mancha (ES)
Ministerio de Ciencia, Innovación y Universidades, Universidad de Castilla-La Mancha, European Regional Development Fund
Openalex Percentile: Top 3%
Simulation Techniques and Applications
8.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.