NEURAL NETWORK APPLICATION FOR DETECTION OF ROAD ACCIDENTS

NEURAL NETWORK APPLICATION FOR DETECTION OF ROAD ACCIDENTS

Subject of Research.The paper considers the issues of neural network application for detection and prediction of road accidents. The overtaking process of cars with crossing into oncoming traffic is analyzed. The potential possibility of road accident reduction while overtaking is shown owing to int...

Full description

Bibliographic Details
Main Authors:	Tatyana V. Zikratova, Igor A. Zikratov
Format:	Article
Language:	English
Published:	Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2020-04-01
Series:	Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:	prediction detection simulation bayesian classifier neural networks safety
Online Access:	https://ntv.ifmo.ru/file/article/19532.pdf

Similar Items

Predicting Road Traffic Accidents—Artificial Neural Network Approach
by: Dragan Gatarić, et al.
Published: (2023-05-01)

Research on Generalized Hybrid Probability Convolutional Neural Network
by: Wenyi Zhou, et al.
Published: (2022-11-01)

Novel On-Road Vehicle Detection System Using Multi-Stage Convolutional Neural Network
by: Jisu Kim, et al.
Published: (2021-01-01)

Application of Discriminant Analysis on Romanian Insurance Market
by: Constantin Anghelache, et al.
Published: (2008-11-01)

Application of Discriminant Analysis on Romanian Insurance Market
by: Constantin Anghelache, et al.
Published: (2008-11-01)

Opportunistic Networks Link Prediction Method Based on Bayesian Recurrent Neural Network
by: Yuliang Ma, et al.
Published: (2019-01-01)

Analyzing and Predicting Railway Operational Accidents Based on Fishbone Diagram and Bayesian Networks
by: Jin Wujie, et al.
Published: (2022-01-01)

Plausibility of a Neural Network Classifier-Based Neuroprosthesis for Depression Detection via Laughter Records
by: Jorge Navarro, et al.
Published: (2019-03-01)

Identifying the factors affecting occupational accidents: An artificial neural network model
by: Soheil Hassanipour, et al.
Published: (2021-01-01)

Neuroimaging feature extraction using a neural network classifier for imaging genetics
by: Cédric Beaulac, et al.
Published: (2023-06-01)

IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK FOR FACE RECOGNITION USING GABOR FEATURE EXTRACTION
by: Muthukannan K, et al.
Published: (2013-11-01)

Road Accident Prediction Model for the Roads of National Significance of Lithuania
by: Vilma Jasiūnienė, et al.
Published: (2013-03-01)

Stochastic Control for Bayesian Neural Network Training
by: Ludwig Winkler, et al.
Published: (2022-08-01)

Epileptic seizure detection with deep EEG features by convolutional neural network and shallow classifiers
by: Wei Zeng, et al.
Published: (2023-05-01)

Residual Neural Network for the Accurate Recognition of Human Action and Compared with Bayesian Regression
by: V Narmatha, et al.
Published: (2023-01-01)

Evaluation of Bayesian classifiers in asthma exacerbation prediction after medication discontinuation
by: Ioannis I. Spyroglou, et al.
Published: (2018-07-01)

Human Factors as Predictor of Fatalities in Aviation Accidents: A Neural Network Analysis
by: Flávio L. Lázaro, et al.
Published: (2024-01-01)

Application of Machine Learning Classification to Improve the Performance of Vancomycin Therapeutic Drug Monitoring
by: Sooyoung Lee, et al.
Published: (2022-05-01)

Neural networks applications for environmental safety assessment of roads in Ukraine
by: Vitalii Naumov, et al.
Published: (2014-03-01)

Efficiency Comparison of Bayesian and MLP Neural Networks in Predicting Runoff to the Taleghan Dam
by: Zahra Nafrieh, et al.
Published: (2022-06-01)

Comparative analysis between convolutional neural network learned and engineered features: A case study on cardiac arrhythmia detection
by: Ruhi Mahajan, PhD, et al.
Published: (2020-07-01)

INVESTIGATION OF NEURAL NETWORK ALGORITHM FOR DETECTION OF NETWORK HOST ANOMALIES IN THE AUTOMATED SEARCH FOR XSS VULNERABILITIES AND SQL INJECTIONS
by: Y. D. Shabalin, et al.
Published: (2016-03-01)

Bayesian Network Models for Evaluating the Impact of Safety Measures Compliance on Reducing Accidents in the Construction Industry
by: Maha Al-Kasasbeh, et al.
Published: (2022-11-01)

Neural Networks Regularization With Graph-Based Local Resampling
by: Alex D. Assis, et al.
Published: (2021-01-01)

Stochastic Selection of Activation Layers for Convolutional Neural Networks
by: Loris Nanni, et al.
Published: (2020-03-01)

Bayesian Neural Network-Based Equipment Operational Trend Prediction Method Using Channel Attention Mechanism
by: Chang Ming-Yu, et al.
Published: (2024-01-01)

Fire and Smoke Detection Transmission Optical Flow Based on the Optimal Mass Method and Neural Network
by: WANG Wei-bing, et al.
Published: (2017-02-01)

Application of neural networks to forecast the number of road accidents in provinces in Poland
by: Piotr Gorzelanczyk
Published: (2023-01-01)

Failure Detection in Deep Neural Networks for Medical Imaging
by: Sabeen Ahmed, et al.
Published: (2022-07-01)

Detection of anomalies in cycling behavior with convolutional neural network and deep learning
by: Shumayla Yaqoob, et al.
Published: (2023-03-01)

Intelligent rockburst prediction model with sample category balance using feedforward neural network and Bayesian optimization
by: Diyuan Li, et al.
Published: (2022-10-01)

Wind Power Prediction Using Neural Networks with Different Training Models
by: Sana Mohsin Babbar, et al.
Published: (2022-02-01)

Comparative Analysis of Face Detection Using Linear Binary Techniques and Neural Network Approaches
by: Laraib Mughal, et al.
Published: (2018-10-01)

An efficient recurrent neural network with ensemble classifier-based weighted model for disease prediction
by: Kesavan Tamilselvi, et al.
Published: (2022-08-01)

Training Convolutional Neural Networks on Simulated Photoplethysmography Data: Application to Bradycardia and Tachycardia Detection
by: Andrius Sološenko , et al.
Published: (2022-07-01)

THE USE OF NEURAL NETWORKS TO FORECAST THE NUMBER OF ROAD ACCIDENTS IN POLAND
by: Piotr GORZELANCZYK
Published: (2023-03-01)

A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients
by: Alla Ahmad Hassan, et al.
Published: (2021-12-01)

Discriminative Structure Learning of Bayesian Network Classifiers from Training Dataset and Testing Instance
by: LiMin Wang, et al.
Published: (2019-05-01)

Improving Semantic Information Retrieval Using Multinomial Naive Bayes Classifier and Bayesian Networks
by: Wiem Chebil, et al.
Published: (2023-05-01)

Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks
by: Jiechen Chen, et al.
Published: (2024-01-01)