| Title |
Non-destructive Diagnostic Methods for Smart Road Infrastructure Evaluation |
| ID_Doc |
39982 |
| Authors |
Micechová, L; Krisková, A; Jandacka, J; Mikolaj, J; Veselovsky, M |
| Title |
Non-destructive Diagnostic Methods for Smart Road Infrastructure Evaluation |
| Year |
2020 |
| Published |
|
| DOI |
10.1007/978-3-030-38822-5_16 |
| Abstract |
Nowadays, high emphasis is placed on the efficient use of resources for optimum management of transport infrastructure. The use of non-destructive diagnostics is the main application for visualization and support of intelligent infrastructure models. Moreover, such models also have enormous potential to support the "smart city" concept. Disaster management, 3D cadaster, energy assessment, pavement performance, pollution monitoring and visibility analysis could benefit from regular pavement diagnostic and its surroundings. To demonstrate this potential, the authors present examples of non-destructive diagnostics on the roads in the Zilina region. As a result, the importance of using non-destructive diagnostics is highlighted, because of the potential for saving money and streamlining planning for smart city needs. |
| Author Keywords |
Non-destructive diagnostic; Pavement performance; Smart City; Intelligent road infrastructure; ITS |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000656432500016 |
| WoS Category |
Operations Research & Management Science; Transportation Science & Technology |
| Research Area |
Operations Research & Management Science; Transportation |
| PDF |
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