Machine learning methods to analyze injury severity of drivers from different age and gender groups

S Mafi, Y AbdelRazig, R Doczy - Transportation research …, 2018 - journals.sagepub.com
Access to non-biased and accurate models capable of predicting driver injury severity of
collision events is vital for determining what safety measures should be implemented at …
被引用次数：80 相关文章

Machine Learning Methods to Analyze Injury Severity of Drivers from Different Age and Gender Groups

S Mafi, Y AbdelRazig, R Doczy - Transportation Research Record …, 2018 - trid.trb.org
Access to non-biased and accurate models capable of predicting driver injury severity of
collision events is vital for determining what safety measures should be implemented at …

Machine learning methods to analyze injury severity of drivers from different age and gender groups

S Mafi, Y Abdelrazig, R Doczy - Transportation research record, 2018 - safetylit.org
Access to non-biased and accurate models capable of predicting driver injury severity of
collision events is vital for determining what safety measures should be implemented at …
[PDF] academia.edu

[PDF][PDF] Machine Learning Methods to Analyze Injury Severity of Drivers from Different Age and Gender Groups

S Mafi, Y AbdelRazig, R Doczy - Transportation Research Record - academia.edu
Access to non-biased and accurate models capable of predicting driver injury severity of
collision events is vital for determining what safety measures should be implemented at …

Machine learning methods to analyze injury severity of drivers from different age and gender groups

S Mafi, Y Abdelrazig, R Doczy - Transportation research record, 2018 - safetylit.org
Access to non-biased and accurate models capable of predicting driver injury severity of
collision events is vital for determining what safety measures should be implemented at …