Detail publikace

Evaluation of Traffic Crossings Situations using Machine Learning

HLAVÁČEK, J. GÖTTHANS, J.

Originální název

Evaluation of Traffic Crossings Situations using Machine Learning

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Traffic, crossing, vehicle, traffic light

Autoři

HLAVÁČEK, J.; GÖTTHANS, J.

Vydáno

3. 5. 2022

Nakladatel

IEEE

ISBN

978-1-7281-8686-3

Kniha

2022 32nd International Conference Radioelektronika (RADIOELEKTRONIKA)

Strany od

202

Strany do

205

Strany počet

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"
}