Evaluation of Traffic Crossings Situations using Machine Learning

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU145354" target="_blank" >RIV/00216305:26220/22:PU145354 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9764937" target="_blank" >https://ieeexplore.ieee.org/document/9764937</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RADIOELEKTRONIKA54537.2022.9764937" target="_blank" >10.1109/RADIOELEKTRONIKA54537.2022.9764937</a>

Result language
angličtina
Original language name
Evaluation of Traffic Crossings Situations using Machine Learning
Original language description
The project focuses on the area of traffic control of intersections, especially control technologies based on the obtained traffic data. The main goal of the work was to design and subsequent implementation of a real intersection Anenská and Capt. Jaroše, located in Pardubice, Czechia in the form of a model. The work also addresses with the demonstration of the signal programs of intersection control through the created model, which are currently used by real intersections. The demonstration model is assembled from a wooden base and smaller parts made by 3-D printing. The unit is controlled by an Arduino microcomputer.
Czech name
—
Czech description
—

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2022 32nd International Conference Radioelektronika (RADIOELEKTRONIKA)
ISBN
978-1-7281-8686-3
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
202-205
Publisher name
IEEE
Place of publication
neuveden
Event location
Košice
Event date
Apr 21, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000856002200042

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