[HTML][HTML] A review of traffic accidents and related practices worldwide
A traffic accident, a traffic collision or crash occurs when a vehicle collides with another
vehicle, pedestrian, animal, road barrier, or any stationary obstruction such as a tree or a …
vehicle, pedestrian, animal, road barrier, or any stationary obstruction such as a tree or a …
[HTML][HTML] Evaluating expressway traffic crash severity by using logistic regression and explainable & supervised machine learning classifiers
The number of expressway road accidents in Sri Lanka has significantly increased (by 20%)
due to the expansion of the transport network and high traffic volume. It is crucial to identify …
due to the expansion of the transport network and high traffic volume. It is crucial to identify …
Nighttime image-dehazing: a review and quantitative benchmarking
Visibility enhancement of images captured during hazy weather conditions is highly
essential for various important applications like intelligent vehicles, surveillance, remote …
essential for various important applications like intelligent vehicles, surveillance, remote …
Uncovering the behaviour of road accidents in urban areas
Different patterns in the incidence of road accidents are revealed when considering areas
with increased levels of urbanization. To understand these patterns, road accident data from …
with increased levels of urbanization. To understand these patterns, road accident data from …
Predicting crash injury severity with machine learning algorithm synergized with clustering technique: A promising protocol
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 …
traffic crashes. This study developed machine learning (ML) models to predict crash injury …
Transportation resilience under Covid-19 Uncertainty: A traffic severity analysis
Transportation systems are critical lifelines and vulnerable to various disruptions, including
unforeseen social events such as public health crises, and have far-reaching social impacts …
unforeseen social events such as public health crises, and have far-reaching social impacts …
[PDF][PDF] Road traffic accident analysis and identification of black spot locations on highway
Road safety is the main problem in develo** countries. Every year, millions of people die
in road traffic accidents, resulting in huge losses of humankind and the economy. This study …
in road traffic accidents, resulting in huge losses of humankind and the economy. This study …
Crash severity analysis of highways based on multinomial logistic regression model, decision tree techniques, and artificial neural network: a modeling comparison
The classification of vehicular crashes based on their severity is crucial since not all of them
have the same financial and injury values. In addition, avoiding crashes by identifying their …
have the same financial and injury values. In addition, avoiding crashes by identifying their …
Temporal instability and differences in injury severity between restrained and unrestrained drivers in speeding-related crashes
Upon detecting a crash impact, the vehicle restraint system locks the driver in place.
However, external factors such as speeding, crash mechanisms, roadway attributes, vehicle …
However, external factors such as speeding, crash mechanisms, roadway attributes, vehicle …
Analysis of roadway and environmental factors affecting traffic crash severities
Y Wang, W Zhang - Transportation research procedia, 2017 - Elsevier
Death due to roadway crashes has been a leading cause of unnatural death in the United
States for decades. The objective of this study is to identify and quantify the impacts of …
States for decades. The objective of this study is to identify and quantify the impacts of …