ACCIDENT PREDICTION MODEL ON THE BASIS OF ADAPTIVE NEURO-FUZZY INFERENCE

The paper presents a model of accident rate forecasting on the basis of adaptive neuro-fuzzy inference. The results of application of the developed model are shown and the ways of its further improvement are determined.

Authors

S. S. Evtyukov
Dmitry S. Golubev (ORCID: https://orcid.org/0000-0002-0609-8921)
Yaroslav Vladimirovich Vasiliev

Publication Details

Journal: World of transport and technological machines
Published: 2025-01-01
DOI: https://doi.org/10.33979/2073-7432-2025-2-2(89)-126-133
Citations: 1
Primary Topic: Transportation Systems and Logistics
Type: article
Field-Weighted Citation Impact: 0.95

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article

ACCIDENT PREDICTION MODEL ON THE BASIS OF ADAPTIVE NEURO-FUZZY INFERENCE

S. S. Evtyukov, Dmitry S. Golubev, Yaroslav Vladimirovich Vasiliev

Jan 1, 2025

1 citations

World of transport and technological machines

Transportation Systems and Logistics

0.95

article

ACCIDENT PREDICTION MODEL ON THE BASIS OF ADAPTIVE NEURO-FUZZY INFERENCE

S. S. Evtyukov, Dmitry S. Golubev, Yaroslav Vladimirovich Vasiliev

January 1, 2025article en

1 citations

Abstract

World of transport and technological machinesVol. 89(2-2)

Good health and well-being

Openalex Percentile: Top 23%

Transportation Systems and Logistics

0.95

DOI Source OpenAlex

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