Towards a continuous forecasting mechanism of parking occupancy in urban environments
Author:
Affiliation:
1. Univ. Poly. Hauts-de-France, France
2. Polytechnic School of Montreal, Canada
Funder
Indonesian Minister of Education and Culture
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3472163.3472265
Reference29 articles.
1. Improving Parking Availability Information Using Deep Learning Techniques
2. Internet of Things data analytics for parking availability prediction and guidance
3. A Comparative Analysis of Machine/Deep Learning Models for Parking Space Availability Prediction
4. Predicting Available Parking Slots on Critical and Regular Services by Exploiting a Range of Open Data
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1. A Driver-Side Parking Evaluation Model for Roadside Spaces;IEEE Sensors Journal;2024-08-15
2. Advanced IoT Edge Architecture for Smart City;2023 17th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS);2023-11-08
3. Spatiotemporal Clustering of Parking Lots at the City Level for Efficiently Sharing Occupancy Forecasting Models;Sensors;2023-05-31
4. Predicting Free Parking Slots via Deep Learning in Short-Mid Terms Explaining Temporal Impact of Features;IEEE Access;2023
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