DC Field | Value | Language |
dc.contributor.author | ZIANE, MOhammed | - |
dc.contributor.author | SEGOUAT, MOhcene ABdelouahed | - |
dc.contributor.author | BELFAR, Ilyas | - |
dc.date.accessioned | 2023-10-17T07:24:37Z | - |
dc.date.available | 2023-10-17T07:24:37Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | https://repository.esi-sba.dz/jspui/handle/123456789/521 | - |
dc.description | Encadré par : Pr. RAHMOUN Abdellatif
Dr. BENSENANE Hamdane | en_US |
dc.description.abstract | ABSTRACT :
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.iso | en | en_US |
dc.subject | Parking System | en_US |
dc.subject | Connected Objects | en_US |
dc.subject | IoT | en_US |
dc.subject | Smart City | en_US |
dc.subject | Automation | en_US |
dc.subject | Assessment | en_US |
dc.subject | System Architecture | en_US |
dc.subject | Urban Mobility | en_US |
dc.subject | Parking Management | en_US |
dc.subject | Evaluation | en_US |
dc.title | IoT Smart Parking: Evaluation of Different Approaches for Efficient Parking Management | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Master
|