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Titel:

FTM Vehicular Network Data

Dokumenttyp:
Forschungsdaten
Veröffentlichungsdatum:
30.07.2025
Verantwortlich:
Su, Xiyan
Autorinnen / Autoren:
Su, Xiyan
Institutionszugehörigkeit:
TUM
Herausgeber:
TUM
Identifikator:
doi:10.14459/2025mp1776662.001
Konzept-DOI:
doi:10.14459/2025mp1776662
Enddatum der Datenerzeugung:
19.01.2025
Fachgebiet:
DAT Datenverarbeitung, Informatik; VER Technik der Verkehrsmittel
Quellen der Daten:
Experimente und Beobachtungen / experiments and observations
Datentyp:
Tabellen / tables
Methode der Datenerhebung:
The physical layer data are recorded with a Milesight UR75 5G router and access with SSH protocol. The application data are recorded using software tools: ping and iperf3.
Beschreibung:
This dataset contains network data recorded from the experimental vehicle EDGAR (Execellent Driving GARching) over a period of 3 months. The data within this dataset can be divided into two categories: the physical layer data and the application layer data. The physical layer data are recorded with the on-board 5G router and indicates the connection quality of the Radio Access Network (RAN). The application layer data is recorded using various software tools and indicates the End-to-End (E2E) co...     »
Schlagworte:
teleoperated driving; autonomous driving; vehicular network; cellular network; 4G-LTE
Technische Hinweise:
View and download (20 MB total, 95 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1776662.001):
rsync rsync://m1776662.001@dataserv.ub.tum.de/m1776662.001/
Sprache:
en
Rechte:
by, http://creativecommons.org/licenses/by/4.0
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