Using Classification for Traffic Prediction in Smart Cities - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2020

Using Classification for Traffic Prediction in Smart Cities


Smart cities emerge as highly sophisticated bionetworks, providing smart services and ground-breaking solutions. This paper relates classification with Smart City projects, particularly focusing on traffic prediction. A systematic literature review identifies the main topics and methods used, emphasizing on various Smart Cities components, such as data harvesting and data mining. It addresses the research question whether we can forecast traffic load based on past data, as well as meteorological conditions. Results have shown that various models can be developed based on weather data with varying level of success.
Fichier principal
Vignette du fichier
497040_1_En_5_Chapter.pdf (342.62 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-04050613 , version 1 (29-03-2023)


Attribution - CC BY 4.0



Konstantinos Christantonis, Christos Tjortjis, Anastassios Manos, Despina Elizabeth Filippidou, Εleni Mougiakou, et al.. Using Classification for Traffic Prediction in Smart Cities. 16th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2020, Neos Marmaras, Greece. pp.52-61, ⟨10.1007/978-3-030-49161-1_5⟩. ⟨hal-04050613⟩
11 View
0 Download



Gmail Facebook Twitter LinkedIn More