The Estimation of Traffic Flow Parameters based on Monitoring the Speed Values using Computer Vision

V. D. Shepelev, A. I. Vorobyev, E. V. Shepeleva, I. D. Alferova, N. Golenyaev, G. Yakupova, V. G. Mavrin

2021

Abstract

Most of the previous works dealing with road traffic organization have been focused on optimizing the setup of traffic signals, assuming that the traffic flow speed is fixed or adheres to a given distribution. In our study, we focused on real-time determining the vehicle speed and assessing its influence on the vehicle delay time. Vehicle detection and speed determination are based on real-time processing of video streams by a convolutional neural network (YOLOv3). The developed system can identify and classify traffic flows into eleven types, as well as track the motion path and speed of vehicles throughout the entire functional area of a signal-controlled intersection. While analysing the data, we identified two important factors corresponding to the presence of a queue of vehicles waiting for the green traffic light: 1. We identified the nature and statistically significant measure of reducing the free vehicle movement speed, depending on the size of the queue; 2. We determined the acceptable queue size, which does not affect the dynamics of crossing the intersection by group vehicles moving from the previous intersection. The obtained data allows us to optimize the operation of the adaptive traffic light control of intersections and to optimize the synchronization of road network signals based on speed indications.

Paper Citation

in Harvard Style

Shepelev V., Vorobyev A., Shepeleva E., Alferova I., Golenyaev N., Yakupova G. and Mavrin V. (2021). The Estimation of Traffic Flow Parameters based on Monitoring the Speed Values using Computer Vision. In Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: iMLTrans, ISBN 978-989-758-513-5, pages 752-759. DOI: 10.5220/0010539407520759

in Bibtex Style

@conference{imltrans21,
author={V. D. Shepelev and A. I. Vorobyev and E. V. Shepeleva and I. D. Alferova and N. Golenyaev and G. Yakupova and V. G. Mavrin},
title={The Estimation of Traffic Flow Parameters based on Monitoring the Speed Values using Computer Vision},
booktitle={Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: iMLTrans,},
year={2021},
pages={752-759},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010539407520759},
isbn={978-989-758-513-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: iMLTrans,
TI - The Estimation of Traffic Flow Parameters based on Monitoring the Speed Values using Computer Vision
SN - 978-989-758-513-5
AU - Shepelev V.
AU - Vorobyev A.
AU - Shepeleva E.
AU - Alferova I.
AU - Golenyaev N.
AU - Yakupova G.
AU - Mavrin V.
PY - 2021
SP - 752
EP - 759
DO - 10.5220/0010539407520759