Parking Management System and Analyzing Source Place Using Mechine Learning
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| Format: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866902279038173184 |
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| author | Ibrahimpatnam Vennela, D.Venkateswarlu |
| author_facet | Ibrahimpatnam Vennela, D.Venkateswarlu |
| contents | <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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15510433 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Parking Management System and Analyzing Source Place Using Mechine Learning Ibrahimpatnam Vennela, D.Venkateswarlu <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> |
| title | Parking Management System and Analyzing Source Place Using Mechine Learning |
| url | https://doi.org/10.5281/zenodo.15510433 |