Transactions on Transport Sciences 2019, 10(1):50-57 | DOI: 10.5507/tots.2019.002

Visual Analysis of Vehicle Trajectories for Determining Cross-Sectional Load Density

Roman Juráneka, Jakub Špaňhela, Jakub Sochora, Adam Herouta, Jan Novákb
a GRAPH@FIT, Brno University of Technology, Božetěchova 1/2, Brno 612 66, Czech Republic
b CDV-Transport Research Centre, Lišeňská 33a, Brno 636 00, Czech Republic

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.

Keywords: Road Safety, Lane Marking, Trajectory Analysis, Computer Vision, Vehicle Tracking

Received: October 8, 2018; Accepted: March 28, 2019; Prepublished online: May 10, 2019; Published: July 24, 2019  Show citation

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Juránek, R., Špaňhel, J., Sochor, J., Herout, A., & Novák, J. (2019). Visual Analysis of Vehicle Trajectories for Determining Cross-Sectional Load Density. Transactions on Transport Sciences, 10(1), 50-57. doi: 10.5507/tots.2019.002
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