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Traffic speed data for Santander city

Version 2 2022-07-31, 22:14
Version 1 2022-07-27, 14:24
dataset
posted on 2022-07-31, 22:14 authored by Yifei Zhu, Peng WangPeng Wang, Youngjoo Kim, Fabio Ciravegna, Lyudmila MihaylovaLyudmila Mihaylova

 Data from magnetic loop sensors and location coordinates of the magnetic loop sensors, provided by partners from Santander, Spain.


These data from Santander have been used in the following publications:


* Y. Zhu, P. Wang and L. Mihaylova, "A Convolutional Neural Network

Combined with a Gaussian Process for Speed Prediction in Traffic Networks,"

In Proceedings of the 2021 IEEE International Conference on Multisensor

Fusion and Integration for Intelligent Systems (MFI), 2021, pp. 1-7, doi:

10.1109/MFI52462.2021.9591204.

* Y. Kim, P. Wang, Y. Zhu and L. Mihaylova, "A Capsule Network for Traffic

Speed Prediction in Complex Road Networks," In Proceedings from the *Sensor

Data Fusion: Trends, Solutions, Applications (SDF)*, 2018, pp. 1-6, doi:

10.1109/SDF.2018.8547068.

* Y. Kim, P. Wang and L. Mihaylova, "Structural Recurrent Neural Network

for Traffic Speed Prediction," In Proceedings of the* IEEE International

Conference on Acoustics, Speech and Signal Processing (ICASSP)*, 2019, pp.

5207-5211, doi: 10.1109/ICASSP.2019.8683670.

* Y. Kim, P. Wang and L. Mihaylova, "Scalable Learning With a Structural

Recurrent Neural Network for Short-Term Traffic Prediction," in *IEEE

Sensors Journal*, vol. 19, no. 23, pp. 11359-11366, 1 Dec.1, 2019, doi:

10.1109/JSEN.2019.2933823.

* P. Wang, Y. Kim, L. Vaci, H. Yang and L. Mihaylova, "Short-Term Traffic

Prediction with Vicinity Gaussian Process in the Presence of Missing Data," *In

Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications

(SDF)*, 2018, pp. 1-6, doi: 10.1109/SDF.2018.8547118.



Funding

SETA: An open, sustainable, ubiquitous data and service ecosystem for efficient, effective, safe, resilient mobility in metropolitan areas

European Commission

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    Department of Automatic Control and Systems Engineering

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