Survey on traffic prediction in smart cities

Attila M. Nagy, V. Simon

Research output: Contribution to journalArticle

4 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

Fingerprint

Traffic
Prediction
Prediction Model
Learning systems
Machine Learning
Optimise
Predict
Smart city
Design
Presentation

Keywords

  • Intelligent transport
  • Prediction models
  • Smart city
  • Traffic flow prediction

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Applied Mathematics

Cite this

Survey on traffic prediction in smart cities. / Nagy, Attila M.; Simon, V.

In: Pervasive and Mobile Computing, 01.01.2018.

Research output: Contribution to journalArticle

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