| Title |
Survey on traffic prediction in smart cities |
| ID_Doc |
43916 |
| Authors |
Nagy, AM; Simon, V |
| Title |
Survey on traffic prediction in smart cities |
| Year |
2018 |
| Published |
|
| DOI |
10.1016/j.pmcj.2018.07.004 |
| Abstract |
The rapid development in machine learning and in the emergence of new data sources makes it possible to examine and predict traffic conditions in smart cities more accurately than ever. This can help to optimize the design and management of transport services in a future automated city. In this paper, we provide a detailed presentation of the traffic prediction methods for such intelligent cities, also giving an overview of the existing data sources and prediction models. (C) 2018 Elsevier B.V. All rights reserved. |
| Author Keywords |
Traffic flow prediction; Smart city; Prediction models; Intelligent transport |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000447436700010 |
| WoS Category |
Computer Science, Information Systems; Telecommunications |
| Research Area |
Computer Science; Telecommunications |
| PDF |
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