AIMC Topic: Accidents, Traffic

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Artificial Intelligence-Driven All-Terrain Vehicle Crash Prediction and Prevention System.

Journal of agricultural safety and health Oct 21, 2024
HIGHLIGHTS: An AI-driven system for predicting and preventing ATV crashes was developed. Machine learning model achieved rollover prediction accuracy of over 99%. The system has the potential to significantly reduce ATV-related injuries and fatalitie...
Algorithms Accidents, Traffic Accident Prevention Off-Road Motor Vehicles Humans Artificial Intelligence Machine Learning
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The Future of Road Safety: Challenges and Opportunities.

The Milbank quarterly Apr 1, 2023
Policy Points Traditional approaches to addressing motor vehicle crashes are yielding diminishing returns. A comprehensive strategy known as the Safe Systems approach shows promise in both advancing safety and equity and reducing motor vehicle crashe...
Accidents, Traffic Safety Bicycling Humans Artificial Intelligence
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Machine learning to predict passenger mortality and hospital length of stay following motor vehicle collision.

Neurosurgical focus Apr 1, 2022
OBJECTIVE: Motor vehicle collisions (MVCs) account for 1.35 million deaths and cost $518 billion US dollars each year worldwide, disproportionately affecting young patients and low-income nations. The ability to successfully anticipate clinical outco...
Motor Vehicles Humans Machine Learning Hospitals Length of Stay Accidents, Traffic
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Road traffic accident trauma: A model for road safety management utilizing the artificial intelligence with geo-mapping and geospatial data in Pakistan.

JPMA. The Journal of the Pakistan Medical Association Mar 1, 2022
Safety Management Logistic Models Accidents, Traffic Humans Pakistan Artificial Intelligence
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Application of Deep Learning Methods for Pedestrian Collision Detection Using Dashcam Videos.

Stapp car crash journal Nov 1, 2020
The goal of this study is to clarify the usefulness of deep learning methods for pedestrian collision detection using dashcam videos for advanced automatic collision notification, focusing on pedestrians, as they make up the highest number of traffic...
Walking Pedestrians Accidents, Traffic Humans Deep Learning Automobiles Japan
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Autonomous Self-Driving Vehicles.

Annals of emergency medicine Jun 1, 2019
Guidelines as Topic Automation Policy Making Public Health Accidents, Traffic Automobile Driving Humans Artificial Intelligence Risk Assessment
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Managing expectations of artificial intelligence.

Nature Nov 1, 2018
Public Opinion Equipment Safety Electronic Mail History, 21st Century Fear History, 20th Century Accidents, Traffic Automobile Driving Consumer Behavior Humans Artificial Intelligence Machine Learning Cities
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Self-driving car dilemmas reveal that moral choices are not universal.

Nature Oct 1, 2018
Socioeconomic Factors Age Factors Automobiles Robotics Accidents, Traffic Safety Management Male Risk Assessment Surveys and Questionnaires Artificial Intelligence Female Animals Cultural Characteristics Ethical Relativism Humans Harm Reduction Automobile Driving Pets Moral Obligations Morals Public Opinion
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Non-linear effects of the built environment on automobile-involved pedestrian crash frequency: A machine learning approach.

Accident; analysis and prevention Mar 1, 2018
Although a growing body of literature focuses on the relationship between the built environment and pedestrian crashes, limited evidence is provided about the relative importance of many built environment attributes by accounting for their mutual int...
Machine Learning Environment Design Multivariate Analysis Models, Statistical Washington Pedestrians Humans Accidents, Traffic Spatial Analysis
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Factors associated with motor vehicle crashes in cognitively impaired older adults.

Alzheimer disease and associated disorders Sep 1, 1998
Because cognitive impairment might pose a safety risk for these drivers and the public, we examined what patient characteristics might be associated with motor vehicle crashes, in a retrospective study of all new referrals to a geriatric clinic speci...
Odds Ratio Ontario Single Person Alzheimer Disease Causality Risk Factors Confidence Intervals Accidents, Traffic Aged Humans Cognition Disorders Male Retrospective Studies Female
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