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Institute for Data and Process Science

5-Safe: AI-Based Road Safety Enhancement for Schoolchildren Using 5G

Veröffentlichungsart

Konferenzbeitrag (peer reviewed)

Medien

IEEE E-TEMS 2023

Veröffentlichungsdatum

2023-04-20

Zitierung

Scholze, Dominic; Al-Khatib, Abdullah; Chebaane, Ahmed; Müller, Marcel; Ziegler, Tobias; Ravichandran, Ranothan; Luger, Michael; Laine, Tim; Khelil, Abdelmajid; Timinger, Holger; Kühbeck, Bettina (2023): 5-Safe: AI-Based Road Safety Enhancement for Schoolchildren Using 5G. IEEE E-TEMS 2023.

Peer Reviewed

Ja

Autoren

Dominic Scholze
Abdullah Al-Khatib
Ahmed Chebaane
Marcel Müller
Tobias Ziegler
Prof. Dr. Abdelmajid Khelil
Prof. Dr. Holger Timinger
Ranothan Ravichandran
Michael Luger
Tim Laine
Prof. Dr. jur. Bettina Kühbeck

Institute for Data and Process Science

5-Safe: AI-Based Road Safety Enhancement for Schoolchildren Using 5G

Abstract

In this paper, we focus on the planning phase of the project 5-Safe outlining four use cases that can improve school route safety in a smart city. The project investigates how 5G mobile communications infrastructure and machine learning based sensor data processing can reduce road traffic accidents. We describe the potential impact of the measures on school route safety by a network of multi-modal sensors and actors in front of three schools.