ReMAHA–CatBoost: Addressing Imbalanced Data in Traffic Accident Prediction Tasks
G Li, Y Wu, Y Bai, W Zhang - Applied Sciences, 2023 - mdpi.com
Featured Application ReMAHA–CatBoost is an advanced machine learning model designed
for predicting traffic accident severity. It is constructed in two parts: ReMAHA (relief–F-based …
for predicting traffic accident severity. It is constructed in two parts: ReMAHA (relief–F-based …
[图书][B] Developing a strategic framework to enhance readiness of UAE law enforcement agencies to effectively respond to road traffic emergencies
EH Alzaabi - 2021 - search.proquest.com
The high number of road traffic accidents and increasing prevalence of road traffic crises
around the world has brought to the fore the need for a higher level of crisis preparedness …
around the world has brought to the fore the need for a higher level of crisis preparedness …
Evaluation of the causes of road crashes and users' perception based on road condition and predicted crashes in Kuching
RM Mkwata - 2024 - figshare.swinburne.edu.au
This thesis investigates the impact of road conditions on traffic safety in Kuching City. By
analyzing pavement data and road users' perceptions, the study identifies critical factors …
analyzing pavement data and road users' perceptions, the study identifies critical factors …
Impacts of Inclement Weather on Traffic Accidents in Mexico City
S Bailey, SM Olivera-Villarroel… - … Climate Change Impacts, 2020 - taylorfrancis.com
Understanding how the weather impacts road traffic accidents is important as it provides us
with crucial information that will allow emergency services to better prepare for an influx of …
with crucial information that will allow emergency services to better prepare for an influx of …