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

Protecting children from traffic hazards near schools is of essential importance. Emergent technologies present new possibilities for monitoring traffic more efficiently and a dequately warning road users. This paper presents a new approach, that integrates well-selected technologies to increase roa...

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Bibliographic Details
Published in:	2023 IEEE European Technology and Engineering Management Summit (E-TEMS) pp. 8 - 13
Main Authors:	Scholze, Dominic, Al-Khatib, Abdullah, Chebaane, Ahmed, Ziegler, Tobias, Khelil, Abdelmajid, Roger, Henriette, Muller, Marcel, Spateneder, Michael, Ravichandran, Ranothan, Laine, Tim, Luger, Michael, Timinger, Holger, Kuhbeck, Bettina
Format:	Conference Proceeding
Language:	English
Published:	IEEE 20-04-2023
Subjects:	5G mobile communication Artificial intelligence Edge computing Machine Learning Monitoring Multimodal sensors Road safety road traffic smart city Time factors vulnerable road users (VRU)
Online Access:	Get full text
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Summary:	Protecting children from traffic hazards near schools is of essential importance. Emergent technologies present new possibilities for monitoring traffic more efficiently and a dequately warning road users. This paper presents a new approach, that integrates well-selected technologies to increase road safety for schoolchildren on their way to school. It delves into how utilizing multimodal sensing, 5G mobile communications infrastructure, Artificial Intelligence and Edge Computing can achieve timely situation awareness to prevent traffic h azards near schools. Five use cases are outlined to enhance school route safety, derive critical requirements for their solution, and reveal potential challenges.
ISSN:	2836-7588
DOI:	10.1109/E-TEMS57541.2023.10424455