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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
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.
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