Parking Management System and Analyzing Source Place Using Mechine Learning
This paper explains a process that is underway, aiming to research and build an intelligent parking management systemthat improves how parking is used, minimises delays and improves how people use it. Parking spots can be monitoredby the system as they become available and the sources of traffic, including the entrance and departure times of vehiclesalong with previous use, are also profiled. Data about vehicles’ starting and ending destinations is used with machinelearning to calculate where parking could be more sought-after. As a result of this prediction, spaces can be allocatedmore easily, making parking quicker and healthier for the environment.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-25
- DOI
- https://doi.org/10.5281/zenodo.15510433
- Primary Topic
- Smart Parking Systems Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00