Visualizing Street Pavement Anomalies through Fog Computing V2I Networks and Machine Learning
Analyzing data related to the conditions of city streets and avenues could help to make better decisions about public spending on mobility. Generally, streets and avenues are fixed as soon as they have a citizen report or when a major incident occurs. However, it is uncommon for cities to have real-...
| Glavni autori: | , , , , , |
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| Daljnji autori: | |
| Format: | Članak |
| Izdano: |
Multidisciplinary Digital Publishing Institute
2022
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| Online pristup: | https://hdl.handle.net/1721.1/138858 |