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Please use this identifier to cite or link to this item: https://repository.esi-sba.dz/jspui/handle/123456789/521
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dc.contributor.authorZIANE, MOhammed-
dc.contributor.authorSEGOUAT, MOhcene ABdelouahed-
dc.contributor.authorBELFAR, Ilyas-
dc.date.accessioned2023-10-17T07:24:37Z-
dc.date.available2023-10-17T07:24:37Z-
dc.date.issued2023-
dc.identifier.urihttps://repository.esi-sba.dz/jspui/handle/123456789/521-
dc.descriptionEncadré par : Pr. RAHMOUN Abdellatif Dr. BENSENANE Hamdaneen_US
dc.description.abstractABSTRACT : Urban areas around the world experience constant exponential population growth and an increasing number of vehicles on the streets, and as a result, traditional parking operators with their classic infrastructure that requires a lot of human intervention are struggling to meet this enormous demand. Faced with this problem, one can only think of an intelligent parking system as a solution, and thanks to IoT technology, this solution is easy to implement and easier to use. IoT Intelligent parking systems use a variety of devices and technologies such as sensors, connectivity, and data analysis. These systems enable real-time monitoring of parking spaces and provide accurate information about availability and occupancy. Drivers can access current parking data via mobile apps or electronic signage, enabling them to quickly find free parking spaces and reduce unnecessary search times. This not only increases driver comfort but also reduces traffic congestion, lowers carbon emissions, and optimizes fuel consumption.en_US
dc.language.isoenen_US
dc.subjectParking Systemen_US
dc.subjectConnected Objectsen_US
dc.subjectIoTen_US
dc.subjectSmart Cityen_US
dc.subjectAutomationen_US
dc.subjectAssessmenten_US
dc.subjectSystem Architectureen_US
dc.subjectUrban Mobilityen_US
dc.subjectParking Managementen_US
dc.subjectEvaluationen_US
dc.titleIoT Smart Parking: Evaluation of Different Approaches for Efficient Parking Managementen_US
dc.typeThesisen_US
Appears in Collections:Master

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