Analysis of Vehicle Trajectories for Determining Cross-Sectional Load Density Based on Computer Vision
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU134957" target="_blank" >RIV/00216305:26230/19:PU134957 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8917374" target="_blank" >https://ieeexplore.ieee.org/document/8917374</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ITSC.2019.8917374" target="_blank" >10.1109/ITSC.2019.8917374</a>
Alternative languages
Result language
angličtina
Original language name
Analysis of Vehicle Trajectories for Determining Cross-Sectional Load Density Based on Computer Vision
Original language description
The goal of this work was to analyze the behavior of vehicles on third-grade roads with and without horizontal lane markings with small curvature (R <= 200m). The roads are not frequented by many vehicles, and therefore, a general 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 employing 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 hard to mine otherwise. After application of the horizontal markings, the drivers slowed down and shifted slightly towards the outer side of the curvature.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2019 22th International Conference on Intelligenet Transportation Systems (ITSC)
ISBN
978-1-5386-7024-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1001-1006
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
Auckland
Event location
Auckland
Event date
Oct 27, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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