| Title |
Smart City Traffic Monitoring System Based on 5G Cellular Network, RFID and Machine Learning |
| ID_Doc |
36614 |
| Authors |
Pawlowicz, B; Salach, M; Trybus, B |
| Title |
Smart City Traffic Monitoring System Based on 5G Cellular Network, RFID and Machine Learning |
| Year |
2019 |
| Published |
|
| DOI |
10.1007/978-3-319-99617-2_10 |
| Abstract |
Smart city is well-known concept of nowadays urban management. With advantages of 5G network, RFID transponders and cloud infrastructure it is possible to create a city traffic monitoring system which helps drivers to reach destination in an optimal time. The system will redirect the driver to specific track to avoid traffic jams and to minimize fuel consumption. In case of an electric vehicle the system will take into account its range and battery power level. The paper presents an idea of such traffic management system. Its components, including 5G communication, RFID-based parking space monitoring and cloud services for supervisory control and machine learning are also characterized. |
| Author Keywords |
Smart city; RFID; 5G network; Cloud computing; Machine learning |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000461025600010 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Software Engineering |
| Research Area |
Computer Science |
| PDF |
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