Driver's Accident Behavioral Analytics Using AI

MA Obaid - 2024 - repository.rit.edu
This comprehensive dissertation constitutes a significant contribution to the ongoing global
discourse on road safety. Through a judicious utilization of advanced data analysis …

Unveiling Global Road Accident Patterns-Insights, Analytics, and Implications for Safer Driving Practices

S Andov, V Cvetkoska, T Mijac - 2023 - repository.ukim.mk
Every day, we are confronted with alarming news of serious injuries and fatalities resulting
from car accidents. In the past decade, these incidents have been on the rise, posing a …

AI Analyzer for Revealing Insights of Traffic Crashes

JW Park, C Arteaga - 2023 - trid.trb.org
The Innovations Deserving Exploratory Analysis (IDEA) product developed in this project is
an open-source software tool that transportation engineers can use to analyze traffic crash …

Behavior-Based Predictive Safety Analytics Phase II

A Miller, A Sarkar, T McDonald, S Ghanipoor Machiani… - 2023 - rosap.ntl.bts.gov
This project addressed the emerging field of behavior-based predictive safety analytics,
focusing on the prediction of road crash involvement based on individual driver behavior …

Emerging research methods and their application to road safety

A Tarko, LN Boyle, A Montella - Accident Analysis & Prevention, 2013 - Elsevier
The study of road safety has seen great strides over the past few decades with advances in
analytical methods and research tools that allow researchers to provide insights into the …

[PDF][PDF] Intelligent Analysis of Vehicle Accidents to Detect Road Safety: A Systematic Literature Review

W Sun, LN Abdullah, F binti Khalid, PS binti Sulaiman - kwpublications.com
Current road accident research focuses mainly on the key role and importance of Artificial
Intelligence (AI) in road accident analysis and prevention. After reviewing the literature, this …

[HTML][HTML] Comprehensive assessment of artificial intelligence tools for driver monitoring and analyzing safety critical events in vehicles

G Yang, C Ridgeway, A Miller, A Sarkar - Sensors, 2024 - mdpi.com
Human factors are a primary cause of vehicle accidents. Driver monitoring systems, utilizing
a range of sensors and techniques, offer an effective method to monitor and alert drivers to …

AI-Driven Driver Behavior Assessment through Vehicle and Health Monitoring for Safe Driving-A Survey

S Yaqoob, G Morabito, S Cafiso, G Pappalardo… - IEEE …, 2024 - ieeexplore.ieee.org
Safe driving is a serious and challenging concern that is dependent on driver behaviors
including aggressive, distracted, fatigued, and drowsy driving. In a smart society, in-vehicle …

Understanding key factors in automated vehicle collisions: Automating data extraction and analyzing key insights using explainable AI

SM Haroon, A Ryan - Journal of Transportation Safety & Security, 2024 - Taylor & Francis
With the growing development and deployment of automated vehicles (AVs), it is crucial to
understand the associated risks and factors contributing to collisions involving AVs …

Evaluating Factors Contributing to Crash Severity Among Older Drivers: Statistical Modeling and Machine Learning Approaches

MSMS Alrumaidhi - 2024 - vtechworks.lib.vt.edu
Road crashes pose a significant public health issue worldwide, often leading to severe
injuries and fatalities. This dissertation embarks on a comprehensive examination of the …