| Title |
Smart parking systems technologies, tools, and challenges for implementing in a smart city environment: a survey based on IoT & ML perspective |
| ID_Doc |
37883 |
| Authors |
Raj, A; Shetty, SD |
| Title |
Smart parking systems technologies, tools, and challenges for implementing in a smart city environment: a survey based on IoT & ML perspective |
| Year |
2024 |
| Published |
International Journal Of Machine Learning And Cybernetics, 15, 7 |
| DOI |
10.1007/s13042-023-02056-5 |
| Abstract |
Smart Parking systems are inevitable considering the growing population, particularly in the urban areas. Most of the people prefer to use private transportation for their convenience which results in an increased number of vehicles and hence increased traffic. Also cruising for parking is one of the most chaotic tasks leading to traffic congestion and increased consumption of time, fuel, and energy. This paper analyzes the smart parking solutions from a technical perspective related to Internet of Things and Machine Learning which are the two popular advancing areas. A detailed survey on the current state of art developments in smart parking systems incorporating the above-mentioned areas is included. In addition, the paper explores the role of smart parking in a smart city environment and the benefits of espousing parking 4.0. Furthermore, the current challenges in SPS, the possible solutions and future scopes in its implementation are also presented. |
| Author Keywords |
Smart parking systems (SPS); Smart city (SC); Machine learning (ML); Internet of Things (IoT); Sensors; Parking 4.0 |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001132787900001 |
| WoS Category |
Computer Science, Artificial Intelligence |
| Research Area |
Computer Science |
| PDF |
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