Survey of Smart Parking Systems
The large number of vehicles constantly seeking access to congested areas in cities means that finding a public parking place is often difficult and causes problems for drivers and citizens alike. In this context, strategies that guide vehicles from one point to another, looking for the most optimal...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-06-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/10/11/3872 |
| _version_ | 1797566314306338816 |
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| author | Mathias Gabriel Diaz Ogás Ramon Fabregat Silvana Aciar |
| author_facet | Mathias Gabriel Diaz Ogás Ramon Fabregat Silvana Aciar |
| author_sort | Mathias Gabriel Diaz Ogás |
| collection | DOAJ |
| description | The large number of vehicles constantly seeking access to congested areas in cities means that finding a public parking place is often difficult and causes problems for drivers and citizens alike. In this context, strategies that guide vehicles from one point to another, looking for the most optimal path, are needed. Most contributions in the literature are routing strategies that take into account different criteria to select the optimal route required to find a parking space. This paper aims to identify the types of smart parking systems (SPS) that are available today, as well as investigate the kinds of vehicle detection techniques (VDT) they have and the algorithms or other methods they employ, in order to analyze where the development of these systems is at today. To do this, a survey of 274 publications from January 2012 to December 2019 was conducted. The survey considered four principal features: SPS types reported in the literature, the kinds of VDT used in these SPS, the algorithms or methods they implement, and the stage of development at which they are. Based on a search and extraction of results methodology, this work was able to effectively obtain the current state of the research area. In addition, the exhaustive study of the studies analyzed allowed for a discussion to be established concerning the main difficulties, as well as the gaps and open problems detected for the SPS. The results shown in this study may provide a base for future research on the subject. |
| first_indexed | 2024-03-10T19:24:57Z |
| format | Article |
| id | doaj.art-9cf511bab39445ba9745feb43d7493dd |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T19:24:57Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-9cf511bab39445ba9745feb43d7493dd2023-11-20T02:39:12ZengMDPI AGApplied Sciences2076-34172020-06-011011387210.3390/app10113872Survey of Smart Parking SystemsMathias Gabriel Diaz Ogás0Ramon Fabregat1Silvana Aciar2Institute of Computer Science, Faculty of Exact, Physical and Natural Sciences, National University of San Juan, San Juan 5400, ArgentinaInstitute of Informatics and Applications, University of Girona, 17003 Girona, SpainInstitute of Computer Science, Faculty of Exact, Physical and Natural Sciences, National University of San Juan, San Juan 5400, ArgentinaThe large number of vehicles constantly seeking access to congested areas in cities means that finding a public parking place is often difficult and causes problems for drivers and citizens alike. In this context, strategies that guide vehicles from one point to another, looking for the most optimal path, are needed. Most contributions in the literature are routing strategies that take into account different criteria to select the optimal route required to find a parking space. This paper aims to identify the types of smart parking systems (SPS) that are available today, as well as investigate the kinds of vehicle detection techniques (VDT) they have and the algorithms or other methods they employ, in order to analyze where the development of these systems is at today. To do this, a survey of 274 publications from January 2012 to December 2019 was conducted. The survey considered four principal features: SPS types reported in the literature, the kinds of VDT used in these SPS, the algorithms or methods they implement, and the stage of development at which they are. Based on a search and extraction of results methodology, this work was able to effectively obtain the current state of the research area. In addition, the exhaustive study of the studies analyzed allowed for a discussion to be established concerning the main difficulties, as well as the gaps and open problems detected for the SPS. The results shown in this study may provide a base for future research on the subject.https://www.mdpi.com/2076-3417/10/11/3872smart parking systemssurveyvehicle routing problemvehicle detection techniquesrouting algorithms |
| spellingShingle | Mathias Gabriel Diaz Ogás Ramon Fabregat Silvana Aciar Survey of Smart Parking Systems Applied Sciences smart parking systems survey vehicle routing problem vehicle detection techniques routing algorithms |
| title | Survey of Smart Parking Systems |
| title_full | Survey of Smart Parking Systems |
| title_fullStr | Survey of Smart Parking Systems |
| title_full_unstemmed | Survey of Smart Parking Systems |
| title_short | Survey of Smart Parking Systems |
| title_sort | survey of smart parking systems |
| topic | smart parking systems survey vehicle routing problem vehicle detection techniques routing algorithms |
| url | https://www.mdpi.com/2076-3417/10/11/3872 |
| work_keys_str_mv | AT mathiasgabrieldiazogas surveyofsmartparkingsystems AT ramonfabregat surveyofsmartparkingsystems AT silvanaaciar surveyofsmartparkingsystems |