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HLAVÁČEK, J. GÖTTHANS, J.
Original Title
Evaluation of Traffic Crossings Situations using Machine Learning
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Traffic, crossing, vehicle, traffic light
Authors
HLAVÁČEK, J.; GÖTTHANS, J.
Released
3. 5. 2022
Publisher
IEEE
ISBN
978-1-7281-8686-3
Book
2022 32nd International Conference Radioelektronika (RADIOELEKTRONIKA)
Pages from
202
Pages to
205
Pages count
4
URL
https://ieeexplore.ieee.org/document/9764937
BibTex
@inproceedings{BUT178921, author="Jakub {Hlaváček} and Jakub {Götthans}", title="Evaluation of Traffic Crossings Situations using Machine Learning", booktitle="2022 32nd International Conference Radioelektronika (RADIOELEKTRONIKA)", year="2022", pages="202--205", publisher="IEEE", doi="10.1109/RADIOELEKTRONIKA54537.2022.9764937", isbn="978-1-7281-8686-3", url="https://ieeexplore.ieee.org/document/9764937" }