Published October 11, 2019 | Version 1.0.0

Speed Prediction in Large and Dynamic Traffic Sensor Networks

  • 1. Federal University of Ceara, Brazil
  • 2. University of Alberta, Canada
  • 3. ISTI-CNR, Pisa, Italy

Description

Aggregated traffic sensor data from Fortaleza (Brazil) in 2014.

Please cite the following paper when using the dataset:

R.P. Magalhaes, F. Lettich, J.A. Macedo, F.M. Nardini, R. Perego, C. Renso, R. Trani., Speed prediction in large and dynamic traffic sensor networks, Information Systems (2019) 101444, https://doi.org/10.1016/j.is.2019.101444

You can also check details regarding the dataset in the paper.

Notes

This work is partially supported by FUNCAP SPU 8789771/2017, UFC-FASTEF 31/2019, BIGDATAGRAPES (EU H2020RIA, grant agreement 780751), MASTER (H2020, MSCAgrant agreement 777695) and the OK-INSAID (MIUR-PON2018, grant agreement ARS0100917) projects. F. Lettich's work has been supported by a University of Alberta's Faculty of Science Research Grant.

Files

2014_01-Traffic_Sensors_Fortaleza.csv

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Additional details

Funding

European Commission
MASTER - Multiple ASpects TrajEctoRy management and analysis 777695
European Commission
BigDataGrapes - Big Data to Enable Global Disruption of the Grapevine-powered Industries 780751