Publication detail

Evaluation of Traffic Crossings Situations using Machine Learning

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"
}