A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw
Motorcycles and motorcyclists have a variety of attributes that have been found to be a
potential contributor to the high liability of vulnerable road users (VRUs). Vulnerable Road …
potential contributor to the high liability of vulnerable road users (VRUs). Vulnerable Road …
Severity prediction of motorcycle crashes with machine learning methods
L Wahab, H Jiang - International journal of crashworthiness, 2019 - Taylor & Francis
This study uses classification algorithms to establish models to predict the severity of crash
injuries when motorcycle crashes occur. In this study, the power of multi-layer perceptron …
injuries when motorcycle crashes occur. In this study, the power of multi-layer perceptron …
A comparative study on machine learning based algorithms for prediction of motorcycle crash severity
L Wahab, H Jiang - PLoS one, 2019 - journals.plos.org
Motorcycle crash severity is under-researched in Ghana. Thus, the probable risk factors and
association between these factors and motorcycle crash severity outcomes is not known …
association between these factors and motorcycle crash severity outcomes is not known …
Crash severity analysis of vulnerable road users using machine learning
Road crash fatality is a universal problem of the transportation system. A massive death toll
caused annually due to road crash incidents, and among them, vulnerable road users (VRU) …
caused annually due to road crash incidents, and among them, vulnerable road users (VRU) …
Factors affecting motorcyclists' injury severities: An empirical assessment using random parameters logit model with heterogeneity in means and variances
Motorcycles constitute 61% of the total registered vehicles in Pakistan and there has been a
371% growth in motorcycles in the country from year 2005-2015. Motorcycle is an essential …
371% growth in motorcycles in the country from year 2005-2015. Motorcycle is an essential …
Investigation of factors influencing motorcyclist injury severity using random parameters logit model with heterogeneity in means and variances
Motorcyclists are an integral component of the traffic stream especially, in low-income
developing countries like Pakistan. However, motorcyclists lay in the group of vulnerable …
developing countries like Pakistan. However, motorcyclists lay in the group of vulnerable …
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 …
A motorcyclist-injury severity analysis: A comparison of single-, two-, and multi-vehicle crashes using latent class ordered probit model
Motorcycle crashes increasingly become a high proportion of the overall motorized vehicle
fatalities. However, limited research has been conducted to compare the injury severity of …
fatalities. However, limited research has been conducted to compare the injury severity of …
Investigating injury severities of motorcycle riders: A two-step method integrating latent class cluster analysis and random parameters logit model
Due to the wide existence of heterogeneous nature in traffic safety data, traditional methods
used to investigate motorcyclist rider injury severity always lead to masking of some …
used to investigate motorcyclist rider injury severity always lead to masking of some …
[HTML][HTML] Analyzing injury severity of motorcycle at-fault crashes using machine learning techniques, decision tree and logistic regression models
A review of US mortality crashes revealed that motorcycle crashes are overrepresented in
fatal crashes in the United States. Unlike passenger vehicles, motorcycles do not have much …
fatal crashes in the United States. Unlike passenger vehicles, motorcycles do not have much …