Model evaluation for forecasting traffic accident severity in rainy seasons using machine learning algorithms: Seoul city study

J Lee, T Yoon, S Kwon, J Lee - Applied Sciences, 2019 - mdpi.com
There have been numerous studies on traffic accidents and their severity, particularly in
relation to weather conditions and road geometry. In these studies, traditional statistical …

An artificial neural network model for highway accident prediction: a case study of Erzurum, Turkey

M Yasin Çodur, A Tortum - PROMET-Traffic&Transportation, 2015 - hrcak.srce.hr
Sažetak This study presents an accident prediction model of Erzurum's Highways in Turkey
using artificial neural network (ANN) approaches. There are many ANN models for …

Road surface conditions forecasting in rainy weather using artificial neural networks

S Kim, J Lee, T Yoon - Safety science, 2021 - Elsevier
In general, drivers should be cautious while driving on rainy days because of risk factors
such as slippery road conditions or hydroplaning. This study aims to forecast road surface …

Determining the proper times and sufficient actions for the collision avoidance of navigator-centered ships in the open sea using artificial neural networks

JK Kim, DJ Park - Journal of Marine Science and Engineering, 2023 - mdpi.com
Ship collisions are a major maritime accident; various systems have been proposed to
prevent them. Through investigating and analyzing the causes of maritime accidents, it has …

Prediction of manually controlled vessels' position and course navigating in narrow waterways using Artificial Neural Networks

U Simsir, S Ertugrul - Applied Soft Computing, 2009 - Elsevier
Despite modern navigation devices, there are still some problems for navigating of vessels
in narrow waterways because of geographical structures and various disturbances. In this …

Predictive human operator model to be utilized as a controller using linear, neuro-fuzzy and fuzzy-ARX modeling techniques

O Celik, S Ertugrul - Engineering Applications of Artificial Intelligence, 2010 - Elsevier
Modeling human operator's behavior as a controller in a closed-loop control system recently
finds applications in areas such as training of inexperienced operators by expert operator's …

Development of a neural network for advanced control of a fuel oil vacuum distillation in petroleum refining

EA Muravyova, MI Sharipov - AIP Conference Proceedings, 2022 - pubs.aip.org
Almost every industrial process in the world is automatically controlled. The accumulated
data on the state of the technological process, data on the actions of the supervisory staff …

Prediction of position and course of a vessel using artificial neural networks by utilizing GPS/radar data

U Simsir, S Ertugrul - 2007 3rd International Conference on …, 2007 - ieeexplore.ieee.org
In this study, a guidance and an early warning method has been developed for navigation
by using GPS data. Two dimensional navigation has been considered and the Istanbul Strait …

[PDF][PDF] Prediction of traffic accidents based on weather conditions in Gilan province using artificial neural network.

S Moslehi, A Gholami, Z Haghdoust, H Abed… - 2021 - researchgate.net
Methods: In the present study, traffic data during the years 2014 to 2017, were examined
using a multilayer perceptron network. Network input variables included minimum …

Development of an intelligent complex for stabilization column parameters adaptive control of the catalytic reforming stabilization unit

MI Sharipov, EA Muravyova - AIP Conference Proceedings, 2022 - pubs.aip.org
The solution of control problems for complex technical systems or objects is based on the
development of their mathematical models, which further determine the control algorithm …