An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors
Vulnerable road users (VRUs) are exposed to the highest risk in the road traffic environment.
Analyzing contributing factors that affect injury severity facilitates injury severity prediction …
Analyzing contributing factors that affect injury severity facilitates injury severity prediction …
[HTML][HTML] A study on road accident prediction and contributing factors using explainable machine learning models: analysis and performance
Road accidents are increasing worldwide and are causing millions of deaths each year.
They impose significant financial and economic expenses on society. Existing research has …
They impose significant financial and economic expenses on society. Existing research has …
An empirical discourse on forecasting the use of autonomous vehicles using consumers' preferences
Given many known and unknown uncertainties, it is hard to forecast reliably the mode
choices, expected to prevail with autonomous vehicle (AV) technology; however, the key to …
choices, expected to prevail with autonomous vehicle (AV) technology; however, the key to …
Analyzing road crash frequencies with uncorrelated and correlated random-parameters count models: An empirical assessment of multilane highways
Recent literature on highway safety research has focused on methodological advances to
minimize misspecifications and the potential for erroneous estimates and invalid statistical …
minimize misspecifications and the potential for erroneous estimates and invalid statistical …
The relationship between driving volatility in time to collision and crash-injury severity in a naturalistic driving environment
As a key indicator of unsafe driving, driving volatility characterizes the variations in
microscopic driving decisions. This study characterizes volatility in longitudinal and lateral …
microscopic driving decisions. This study characterizes volatility in longitudinal and lateral …
Motorcyclist injury severity analysis: A comparison of Artificial Neural Networks and random parameter model with heterogeneity in means and variances
In Thailand, the motorcyclist mortality rate is steadily on the rise and remains a serious
concern for highway administrators and burden on both economic and local people. Using …
concern for highway administrators and burden on both economic and local people. Using …
Leveraging ANN and LDA classifiers for characterizing different hand movements using emg signals
The analysis of electromyographic (EMG) signals has expedited the use of a wearable
prosthetic arm. To this end, pattern recognition-based myoelectric control schemes have …
prosthetic arm. To this end, pattern recognition-based myoelectric control schemes have …
Temporal instability of factors affecting injury severity in helmet-wearing and non-helmet-wearing motorcycle crashes: a random parameter approach with …
Not wearing a helmet, not properly strapping the helmet on, or wearing a substandard
helmet increases the risk of fatalities and injuries in motorcycle crashes. This research …
helmet increases the risk of fatalities and injuries in motorcycle crashes. This research …
Analyzing the risk factors of traffic accident severity using a combination of random forest and association rules
J Wang, S Ma, P Jiao, L Ji, X Sun, H Lu - Applied Sciences, 2023 - mdpi.com
This study explores risk factors influencing the at-fault party in traffic accidents and analyzes
their impact on traffic accident severity. Based on the traffic accident data of Shenyang City …
their impact on traffic accident severity. Based on the traffic accident data of Shenyang City …
Examining correlations between motorcyclist's conspicuity, apparel related factors and injury severity score: Evidence from new motorcycle crash causation study
Motorcyclists are vulnerable road users at a particularly high risk of serious injury or death
when involved in a crash. In order to evaluate key risk factors in motorcycle crashes, this …
when involved in a crash. In order to evaluate key risk factors in motorcycle crashes, this …