Machine learning predictive model based on national data for fatal accidents of construction workers
The purpose of this study is to develop a prediction model that identifies the potential risk of
fatality accidents at construction sites using machine learning based on industrial accident …
fatality accidents at construction sites using machine learning based on industrial accident …
A machine learning framework for automated accident detection based on multimodal sensors in cars
Identifying accident patterns is one of the most vital research foci of driving analysis.
Environmental or safety applications and the growing area of fleet management all benefit …
Environmental or safety applications and the growing area of fleet management all benefit …
A data-driven method towards minimizing collision severity for highly automated vehicles
The deployment of autonomous vehicles on public roads calls for the development of
methods that are reliably able to mitigate injury severity in case of unavoidable collisions …
methods that are reliably able to mitigate injury severity in case of unavoidable collisions …
[HTML][HTML] New needs to consider during accident analysis: Implications of autonomous vehicles with collision reconfiguration systems
Autonomous vehicles are equipped with advanced vehicle technology (AVT) that will
improve road traffic safety and reduce accidents. However, due to the uncertain behavior of …
improve road traffic safety and reduce accidents. However, due to the uncertain behavior of …
Market penetration of intersection AEB: Characterizing avoided and residual straight crossing path accidents
Car occupants account for one third of all junction fatalities in the European Union. Driver
warning can reduce intersection accidents by up to 50 percent; adding Autonomous …
warning can reduce intersection accidents by up to 50 percent; adding Autonomous …
A predictive ambulance dispatch algorithm to the scene of a motor vehicle crash: the search for optimal over and under triage rates
Background Calls for emergency medical assistance at the scene of a motor vehicle crash
(MVC) substantially contribute to the demand on ambulance services. Triage by emergency …
(MVC) substantially contribute to the demand on ambulance services. Triage by emergency …
Machine learning-based injury severity prediction of level 1 trauma center enrolled patients associated with car-to-car crashes in Korea
Injury prediction models enables to improve trauma outcomes for motor vehicle occupants in
accurate decision-making and early transport to appropriate trauma centers. This study aims …
accurate decision-making and early transport to appropriate trauma centers. This study aims …
Injury risk assessment based on pre-crash variables: The role of closing velocity and impact eccentricity
Thorough evaluations on injury risk (IR) are fundamental for guiding interventions toward the
enhancement of both the road infrastructure and the active/passive safety of vehicles. Well …
enhancement of both the road infrastructure and the active/passive safety of vehicles. Well …
An energy loss-based vehicular injury severity model
A Ji, D Levinson - Accident Analysis & Prevention, 2020 - Elsevier
How crashes translate into physical injuries remains controversial. Previous studies
recommended a predictor, Delta-V, to describe the crash consequences in terms of mass …
recommended a predictor, Delta-V, to describe the crash consequences in terms of mass …
Road safety comparisons with international data on seriously injured
R Utriainen, M Pöllänen, H Liimatainen - Transport policy, 2018 - Elsevier
Reducing the number of fatalities is a key objective of road safety policy. As road safety
improvements in Europe have decreased the number of fatalities, more focus has been …
improvements in Europe have decreased the number of fatalities, more focus has been …