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Smart city article details
| Title | 5-Safe: Ai-Based Road Safety Enhancement For Schoolchildren Using 5G |
|---|---|
| ID_Doc | 216 |
| Authors | Scholze D.; Al-Khatib A.; Chebaane A.; Ziegler T.; Khelil A.; Roger H.; Muller M.; Spateneder M.; Ravichandran R.; Laine T.; Luger M.; Timinger H.; Kuhbeck B. |
| Year | 2023 |
| Published | 2023 IEEE European Technology and Engineering Management Summit, E-TEMS 2023 - Conference Proceedings |
| DOI | http://dx.doi.org/10.1109/E-TEMS57541.2023.10424455 |
| Abstract | 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. © 2023 IEEE. |
| Author Keywords | 5G; Edge Computing; Machine Learning; road traffic; smart city; vulnerable road users (VRU) |
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