Driver Behavior Recognition Based on Neural Networks Theory

Authors

DOI:

https://doi.org/10.18372/1990-5548.75.17554

Keywords:

Driving behavior, artificial neural network, vehicle, safety index

Abstract

The article deals with the problem of driver behavior while driving the vehicle. Driver distraction can lead to serious accidents that threaten human life and public property around the world. Solving the problem of preventing dangerous driving behavior will reduce the risk of getting into an accident in the future. Thus, there is a need for a smart vehicle that will support driver behavior recognition functionality. A possible solution to the problem using an artificial neural network for automatic recognition of driver behavior on a real set of driver behavior data is considered. The high accuracy and efficiency of the developed model recognition is obtained.

Author Biographies

Yurii Melnyk , National Aviation University, Kyiv, Ukraine

Doctor of Engineering Science. Professor

Faculty of Air Navigation, Electronics and Telecommunications

Serhii Otrokh , National Aviation University, Kyiv, Ukraine

Doctor of Engineering Science. Professor

Educational and Research Institute of Nuclear and Heat Power Engineering

Oleksandr Sarafannikov , National Aviation University, Kyiv, Ukraine

Student

Educational and Research Institute of Nuclear and Heat Power Engineering

Yurii Lebid , National Aviation University, Kyiv, Ukraine

Student

Educational and Research Institute of Nuclear and Heat Power Engineering

References

Dataset for State Farm Distracted Driver Detection. Available at: https://github.com/Kaggle/kaggle-api

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Published

2023-03-26

Issue

Section

AUTOMATION AND COMPUTER-INTEGRATED TECHNOLOGIES