| Title |
Data-driven Management of Dynamic Public Transport |
| ID_Doc |
38232 |
| Authors |
Horazdovsky, P; Novotny, V; Svítek, M |
| Title |
Data-driven Management of Dynamic Public Transport |
| Year |
2018 |
| Published |
|
| DOI |
10.1109/SCSP.2018.8402665 |
| Abstract |
The theme of the Fourth Industrial Revolution and Smart City appears increasingly also in transport. The aim of this paper is to provide an approach for evaluation of smart solution in public transport. A solution using combination of dynamic service and the Big Data is described in more detail. This dynamic service is influenced by many parameters and one of them can be the movement of the population. The movement of the population can be monitored through the Big Data. |
| Author Keywords |
Public transport; Smart City; dynamic service; Big Data |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S); Conference Proceedings Citation Index - Social Science & Humanities (CPCI-SSH) |
| EID |
WOS:000443451800020 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Interdisciplinary Applications; Urban Studies |
| Research Area |
Computer Science; Urban Studies |
| PDF |
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