Analysis on road crash severity of drivers using machine learning techniques

M Mittal, S Gupta, S Chauhan… - International Journal of …, 2022 - inderscienceonline.com
Traffic accidents are significant general well-being concerns, bringing a large number of
deaths and injuries around the globe. To improve driving safety, the examination of traffic …

Applying OHSA to Detect Road Accident Blackspots

ZZ Wang, YN Lu, ZH Zou, YH Ma, T Wang - International journal of …, 2022 - mdpi.com
With increasing numbers of crashes and injuries, understanding traffic accident spatial
patterns and identifying blackspots is critical to improve overall road safety. This study aims …

Relationship between Vehicle Safety Ratings and Drivers' Injury Severity in the Context of Gender Disparity

W Fu, J Lee - International journal of environmental research and …, 2022 - mdpi.com
Previous studies have analyzed the relationship between vehicle safety ratings from impact
tests and actual crash injury severity. Nevertheless, no study has investigated the …

Selecting the Optimum Tool for driving performance evaluation by assessing the ergonomic methods—an overview

A Chand, H Mannikandan, AB Bhasi - Applications of Computation in …, 2022 - Springer
Ergonomic analysis of the driving environment is very essential for enhancing productivity
and reducing musculoskeletal disorders (MSDs) of drivers. The proposed driver distraction …

Likely behaviours of people under emergency circumstances in hospitals: A cross‐sectional study

A Abouee‐Mehrizi, SS Alizadeh… - … Journal of Health …, 2022 - Wiley Online Library
Hospitals, which play an important role in reducing injuries and casualties, must be
prepared for a crowd of people in emergencies. The present study aimed to survey and …

Incorporating speed into crash modeling for rural two-lane highways

F Rahman - 2022 - uknowledge.uky.edu
Rural two-lane highways account for 76% in mileages of the total paved roads in the US. In
Kentucky, these roads represent 85% of the state-maintained mileages. Crashes on these …

[PDF][PDF] A distributed big data analytics model for traffic accidents classification and recognition based on SparkMlLib cores

I El Mallahi, J Riffi, H Tairi, A Ez-Zahout… - Journal of Automation …, 2022 - sciendo.com
This paper focuses on the issue of big data analytics for traffic accident prediction based on
SparkMllib cores; however, Spark's Machine Learning Pipelines provide a helpful and …

DOES BETTER INCOME DISTRIBUTION REDUCE INFANT MORTALITY? THE CASE OF TURKEY

S Odabaşı - Journal of Management and Economics Research, 2022 - dergipark.org.tr
While the linkage between economic conditions and health indicators is largely discussed
previously, much less is known about how income inequality affects the infant mortality rates …

Speed related variables for crash injury risk analysis: what has been used?

G Torrão - International journal of crashworthiness, 2022 - Taylor & Francis
Speed is a major risk factor in overall road safety performance. The objective of this study
was to identify the most frequent explanatory variables and measures used to investigate the …

Identifying Factors Associated with Crash Injury Severities on Low-Volume Rural Roads Using Statistical and Machine Learning Methods

W Sun, S Yin, S Ricord, Y Wang - International Conference on …, 2022 - ascelibrary.org
Roadway safety remains a critical issue due to the disproportionate number of crashes in
rural areas. According to the National Highway Traffic Safety Administration (NHTSA), from …