Predicting Multiple Traffic Features using a Spatio-Temporal Neural Network Architecture

Bogdan Ichim; Bogdan Ichim; Florin Iordache

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Paper

Predicting Multiple Traffic Features using a Spatio-Temporal Neural Network Architecture

Topics: Analytics and Optimization; Analytics for Intelligent Transportation; Big Data & Vehicle Analytics; Information Systems and Technologies; Traffic management Reporting Systems

In Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems VEHITS - Volume 1, 331-337, 2022

Authors: Bogdan Ichim ^{1

;

2} and Florin Iordache ¹

Affiliations: ¹ Faculty of Mathematics and Computer Science, University of Bucharest, Str. Academiei 14, Bucharest, Romania ; ² Simion Stoilow Institute of Mathematics of the Romanian Academy, Str. Calea Grivitei 21, Bucharest, Romania

Keyword(s): Long Short-Term Memory Network (LSTM), Graph Convolutional Network (GCN), Neural Networks, Traffic Models, Time-Series.

Abstract: In this paper we present several experiments done with a complex spatio-temporal neural network architecture, for three distinct traffic features and over four time horizons. The architecture was proposed in (Zhao et al., 2020), in which predictions for a single traffic feature (i.e. speed) were investigated. An implementation of the architecture is available as open source in the StellarGraph library (CSIRO's Data61, 2018). We find that its predictive power is superior to the one of a simpler temporal model, however it depends on the particular feature predicted. All experiments were performed with a new dataset, which was prepared by the authors.

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Paper citation in several formats:

Ichim, B. and Iordache, F. (2022). Predicting Multiple Traffic Features using a Spatio-Temporal Neural Network Architecture. In Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-573-9; ISSN 2184-495X, SciTePress, pages 331-337. DOI: 10.5220/0011062900003191

@conference{vehits22,
author={Bogdan Ichim. and Florin Iordache.},
title={Predicting Multiple Traffic Features using a Spatio-Temporal Neural Network Architecture},
booktitle={Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2022},
pages={331-337},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011062900003191},
isbn={978-989-758-573-9},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Predicting Multiple Traffic Features using a Spatio-Temporal Neural Network Architecture
SN - 978-989-758-573-9
IS - 2184-495X
AU - Ichim, B.
AU - Iordache, F.
PY - 2022
SP - 331
EP - 337
DO - 10.5220/0011062900003191
PB - SciTePress