Publication Details
Visual Analysis of Vehicle Trajectories for Determining Cross-Sectional Load Density
Špaňhel Jakub, Ing., Ph.D. (DCGM)
Sochor Jakub, Ing., Ph.D.
Herout Adam, prof. Ing., Ph.D. (DCGM)
NOVÁK, J.
Road Safety, Lane Marking, Trajectory Analysis, Computer Vision, Vehicle
Tracking
The goal of this work was to analyze the behavior of drivers on third class roads
with and without horizontal lane marking. The roads have low traffic volume, and
therefore a conventional short-term study would not be able to provide enough
data. We used recording devices for long-term (weeks) recording of the traffic
and designed a system for analyzing the trajectories of the vehicles by means of
computer vision. We collected a dataset at 6 distinct locations, containing 1 010
hours of day-time video. In this dataset, we tracked over 12 000 cars and
analyzed their trajectories. The results show that the selected approach is
functional and provides information that would be difficult to mine otherwise.
After application of the horizontal markings, the drivers slowed down and shifted
slightly towards the outer side of the curve.
@article{BUT159979,
author="JURÁNEK, R. and ŠPAŇHEL, J. and SOCHOR, J. and HEROUT, A. and NOVÁK, J.",
title="Visual Analysis of Vehicle Trajectories for Determining Cross-Sectional Load Density",
journal="Transactions on Transport Sciences - online version",
year="2019",
volume="10",
number="1",
pages="50--57",
doi="10.5507/tots.2019.002",
issn="1802-9876",
url="https://tots.upol.cz/pdfs/tot/2019/01/06.pdf"
}