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Parking Availability Prediction in Smart City
https://orcid.org/http://orcid.org/0000-0003-3627-5746
Smart cities are part of continuous advances in technology to provide a better quality of life for its inhabitants. Important topics in smart cities include urban mobility. Due to the increasing number of vehicles passing through cities, traffic and traffic are becoming common problems. In addition, finding places to park in the city center is not a simple task for drivers. In fact, drivers looking for parking spaces contribute up to 30% traffic congestion. In this context, this paper proposes a model for predicting the availability of parking spaces in car parks using different data sources, regression techniques and machine learning. The objective is to propose a model capable of making an enlightened estimate of the number of free parking places.
Parking Availability Prediction in Smart City
https://orcid.org/http://orcid.org/0000-0003-3627-5746
Smart cities are part of continuous advances in technology to provide a better quality of life for its inhabitants. Important topics in smart cities include urban mobility. Due to the increasing number of vehicles passing through cities, traffic and traffic are becoming common problems. In addition, finding places to park in the city center is not a simple task for drivers. In fact, drivers looking for parking spaces contribute up to 30% traffic congestion. In this context, this paper proposes a model for predicting the availability of parking spaces in car parks using different data sources, regression techniques and machine learning. The objective is to propose a model capable of making an enlightened estimate of the number of free parking places.
Parking Availability Prediction in Smart City
https://orcid.org/http://orcid.org/0000-0003-3627-5746
Smart cities are part of continuous advances in technology to provide a better quality of life for its inhabitants. Important topics in smart cities include urban mobility. Due to the increasing number of vehicles passing through cities, traffic and traffic are becoming common problems. In addition, finding places to park in the city center is not a simple task for drivers. In fact, drivers looking for parking spaces contribute up to 30% traffic congestion. In this context, this paper proposes a model for predicting the availability of parking spaces in car parks using different data sources, regression techniques and machine learning. The objective is to propose a model capable of making an enlightened estimate of the number of free parking places.
Parking Availability Prediction in Smart City
Lect. Notes in Networks, Syst.
Ben Ahmed, Mohamed (editor) / Rakıp Karaș, İsmail (editor) / Santos, Domingos (editor) / Sergeyeva, Olga (editor) / Boudhir, Anouar Abdelhakim (editor) / Abdellaoui Alaoui, El Arbi (author) / Koumetio Tekouabou, Stephane Cedric (author)
The Proceedings of the Third International Conference on Smart City Applications ; 2020 ; Karabuk, Turkey
2021-02-13
13 pages
Article/Chapter (Book)
Electronic Resource
English
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