AIMC Topic: Accidents, Traffic

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Methodological considerations in MVC epidemiological research.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention Nov 16, 2020
BACKGROUND: The global burden of MVC injuries and deaths among vulnerable road users, has led to the implementation of prevention programmes and policies at the local and national level. MVC epidemiological research is key to quantifying MVC burden, ...
Data Collection Child Accidents, Traffic Humans Artificial Intelligence Research Design Risk Factors Adolescent
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Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee.

Accident; analysis and prevention Nov 7, 2020
Given the ever present threat of vehicular accident occurrence endangering the lives of most people, preventative measures need to be taken to combat vehicle accident occurrence. From dangerous weather to hazardous roadway conditions, there are a hig...
Humans Neural Networks, Computer Accidents, Traffic Forecasting Weather Cities Tennessee Models, Theoretical
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The use of machine learning improves the assessment of drug-induced driving behaviour.

Accident; analysis and prevention Oct 27, 2020
RATIONALE: Car-driving performance is negatively affected by the intake of alcohol, tranquillizers, sedatives and sleep deprivation. Although several studies have shown that the standard deviation of the lateral position on the road (SDLP) is sensiti...
Computer Simulation Psychomotor Performance Female Driving Under the Influence Humans Young Adult Adult Machine Learning Male Accidents, Traffic
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Traffic Crash Severity Prediction-A Synergy by Hybrid Principal Component Analysis and Machine Learning Models.

International journal of environmental research and public health Oct 19, 2020
The accurate prediction of road traffic crash (RTC) severity contributes to generating crucial information, which can be used to adopt appropriate measures to reduce the aftermath of crashes. This study aims to develop a hybrid system using principal...
Female Male Support Vector Machine Principal Component Analysis Accidents, Traffic Humans Neural Networks, Computer Machine Learning
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Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network.

Accident; analysis and prevention Oct 17, 2020
Pedestrian protection is an important component of road safety. Intersections are dangerous locations for pedestrians with mixed traffic. This paper aims to predict potential traffic conflicts between pedestrians and vehicles at signalized intersecti...
Pedestrians Accidents, Traffic Safety Humans Neural Networks, Computer Pattern Recognition, Automated Built Environment
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Exploring the Injury Severity Risk Factors in Fatal Crashes with Neural Network.

International journal of environmental research and public health Oct 14, 2020
A better understanding of circumstances contributing to the severity outcome of traffic crashes is an important goal of road safety studies. An in-depth crash injury severity analysis is vital for the proactive implementation of appropriate mitigatio...
Neural Networks, Computer Algorithms Risk Factors Humans Logistic Models Accidents, Traffic Wounds and Injuries Severity of Illness Index Saudi Arabia
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Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles.

Accident; analysis and prevention Sep 4, 2020
The era of Big Data has arrived. Recently, under the environment of intelligent transportation systems (ITS) and connected/automated vehicles (CAV), Big Data has been applied in various fields in transportation including traffic safety. In this study...
Artificial Intelligence Research Design Big Data Accidents, Traffic Safety Transportation Automobile Driving Automation Humans
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Predicting Crash Injury Severity with Machine Learning Algorithm Synergized with Clustering Technique: A Promising Protocol.

International journal of environmental research and public health Jul 30, 2020
Predicting crash injury severity is a crucial constituent of reducing the consequences of traffic crashes. This study developed machine learning (ML) models to predict crash injury severity using 15 crash-related parameters. Separate ML models for ea...
United Kingdom Wounds and Injuries Humans Algorithms Machine Learning Cluster Analysis Accidents, Traffic
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An integrated architecture for intelligence evaluation of automated vehicles.

Accident; analysis and prevention Jul 24, 2020
Increasing automation calls for evaluating the effectiveness and intelligence of automated vehicles. This paper proposes a framework for quantitatively evaluating the intelligence of automated vehicles. Firstly, we establish the evaluation environmen...
Automation Accidents, Traffic Automobile Driving Humans Artificial Intelligence Algorithms
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Machine-learning approach to predict on-road driving ability in healthy older people.

Psychiatry and clinical neurosciences Jul 20, 2020
AIM: In Japan, fatal traffic accidents due to older drivers are on the rise. Considering that approximately half the older drivers who have caused fatal accidents are cognitively normal healthy people, it has been required to detect older drivers who...
Psychomotor Performance Neuropsychological Tests Japan Automobile Driving Humans Female Aging Aged Aged, 80 and over Support Vector Machine Male Accidents, Traffic
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