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| Format: | Recurso digital |
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Zenodo
2025
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| Accès en ligne: | https://doi.org/10.5281/zenodo.15510433 |
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Table des matières:
- <p>This paper explains a process that is underway, aiming to research and build an intelligent parking management system<br>that improves how parking is used, minimises delays and improves how people use it. Parking spots can be monitored<br>by the system as they become available and the sources of traffic, including the entrance and departure times of vehicles<br>along with previous use, are also profiled. Data about vehicles’ starting and ending destinations is used with machine<br>learning to calculate where parking could be more sought-after. As a result of this prediction, spaces can be allocated<br>more easily, making parking quicker and healthier for the environment. </p>