Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/8263
Title: | Smart City: Public Parking Dashboard | Authors: | Klandev, Ivan Tolevska, Marta Trajanov, Dimitar |
Keywords: | smart city, public parking, visualization, dashboard | Issue Date: | 8-May-2020 | Publisher: | Ss. Cyril and Methodius University in Skopje, Faculty of Computer Science and Engineering, Republic of North Macedonia | Series/Report no.: | CIIT 2020 short papers;36 | Conference: | 17th International Conference on Informatics and Information Technologies - CIIT 2020 | Abstract: | It is widely known that finding an available parking slot during peak hour is a significant issue in cities. Drivers are spending large amount of time in search of a free spot where they can properly park their car. The purpose of providing these visualizations is to have a visualized preview of the data collected from different parking events, in order to spot improper parked vehicles, find causes for jammed areas, find places where there is a need for building a parking garage and etc. Considering the popularity and evolution of Internet of Things and their usage in the development of smart cities, these visualizations are providing crucial information. That information will help distinct areas that have a need of implementing some system regarding smart city, from another areas that are not that crowded and there is no need of any changes. All these benefits will also lead to reduction of expenses, pollution and traffic jams, while the income will rise. | URI: | http://hdl.handle.net/20.500.12188/8263 |
Appears in Collections: | International Conference on Informatics and Information Technologies |
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CIIT2020_paper_36.pdf | 3.84 MB | Adobe PDF | View/Open |
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