Survey on traffic prediction in smart cities

Attila M. Nagy, V. Simon

Research output: Article

25 Citations (Scopus)

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.

Original languageEnglish
JournalPervasive and Mobile Computing
DOIs
Publication statusAccepted/In press - jan. 1 2018

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Applied Mathematics

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