Smart parking technologies are rapidly being deployed in cities and public/private places around the world for the sake of enabling users to know in real time the occupancy of parking lots and offer applications and services on top of that information. In this work, we detail a real-world deployment of a full-stack smart parking system based on industrial-grade components. We also propose innovative forecasting models (based on CNN-LSTM) to analyze and predict parking occupancy ahead of time. Experimental results show that our model can predict the number of available parking lots in a ±3% range with about 80% accuracy over the next 1-8 hours. Finally, we describe novel applications and services that can be developed given such forecasts and associated analysis.

Forecasting Parking Lots Availability: Analysis from a Real-World Deployment / Barraco, M.; Bicocchi, N.; Mamei, M.; Zambonelli, F.. - (2021), pp. 299-304. (Intervento presentato al convegno 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021 tenutosi a Kassel, DE nel 2021) [10.1109/PerComWorkshops51409.2021.9430942].

Forecasting Parking Lots Availability: Analysis from a Real-World Deployment

Barraco M.;Bicocchi N.
;
Mamei M.;Zambonelli F.
2021

Abstract

Smart parking technologies are rapidly being deployed in cities and public/private places around the world for the sake of enabling users to know in real time the occupancy of parking lots and offer applications and services on top of that information. In this work, we detail a real-world deployment of a full-stack smart parking system based on industrial-grade components. We also propose innovative forecasting models (based on CNN-LSTM) to analyze and predict parking occupancy ahead of time. Experimental results show that our model can predict the number of available parking lots in a ±3% range with about 80% accuracy over the next 1-8 hours. Finally, we describe novel applications and services that can be developed given such forecasts and associated analysis.
2021
2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021
Kassel, DE
2021
299
304
Barraco, M.; Bicocchi, N.; Mamei, M.; Zambonelli, F.
Forecasting Parking Lots Availability: Analysis from a Real-World Deployment / Barraco, M.; Bicocchi, N.; Mamei, M.; Zambonelli, F.. - (2021), pp. 299-304. (Intervento presentato al convegno 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021 tenutosi a Kassel, DE nel 2021) [10.1109/PerComWorkshops51409.2021.9430942].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1247512
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