Generalized nonlinear models for rear-end crash risk analysis
A generalized nonlinear model (GNM)-based approach for modeling highway rear-end
crash risk is formulated using Washington State traffic safety data. Previous studies majorly …
crash risk is formulated using Washington State traffic safety data. Previous studies majorly …
Generalized nonlinear models for rear-end crash risk analysis
Y Lao, G Zhang, Y Wang… - Accident; analysis and …, 2014 - pubmed.ncbi.nlm.nih.gov
A generalized nonlinear model (GNM)-based approach for modeling highway rear-end
crash risk is formulated using Washington State traffic safety data. Previous studies majorly …
crash risk is formulated using Washington State traffic safety data. Previous studies majorly …
[引用][C] Generalized nonlinear models for rear-end crash risk analysis
Y LAO, G ZHANG, Y WANG… - Accident analysis and …, 2014 - pascal-francis.inist.fr
Generalized nonlinear models for rear-end crash risk analysis CNRS Inist Pascal-Francis CNRS
Pascal and Francis Bibliographic Databases Simple search Advanced search Search by …
Pascal and Francis Bibliographic Databases Simple search Advanced search Search by …
Generalized nonlinear models for rear-end crash risk analysis
Y Lao, G Zhang, Y Wang, J Milton - Accident Analysis & Prevention, 2014 - trid.trb.org
A generalized nonlinear model (GNM)-based approach for modeling highway rear-end
crash risk is formulated using Washington State traffic safety data. Previous studies majorly …
crash risk is formulated using Washington State traffic safety data. Previous studies majorly …
Generalized nonlinear models for rear-end crash risk analysis.
Y Lao, G Zhang, Y Wang, J Milton - Accident; Analysis and …, 2013 - europepmc.org
A generalized nonlinear model (GNM)-based approach for modeling highway rear-end
crash risk is formulated using Washington State traffic safety data. Previous studies majorly …
crash risk is formulated using Washington State traffic safety data. Previous studies majorly …
Generalized nonlinear models for rear-end crash risk analysis
Y Lao, G Zhang, Y Wang, J Milton - Accident analysis and prevention, 2014 - safetylit.org
A generalized nonlinear model (GNM)-based approach for modeling highway rear-end
crash risk is formulated using Washington State traffic safety data. Previous studies majorly …
crash risk is formulated using Washington State traffic safety data. Previous studies majorly …
Generalized nonlinear models for rear-end crash risk analysis
Y Lao, G Zhang, Y Wang, J Milton - Accident Analysis and Prevention, 2014 - infona.pl
A generalized nonlinear model (GNM)-based approach for modeling highway rear-end
crash risk is formulated using Washington State traffic safety data. Previous studies majorly …
crash risk is formulated using Washington State traffic safety data. Previous studies majorly …
Generalized nonlinear models for rear-end crash risk analysis
Y Lao, G Zhang, Y Wang, J Milton - Accident analysis and prevention, 2014 - safetylit.org
A generalized nonlinear model (GNM)-based approach for modeling highway rear-end
crash risk is formulated using Washington State traffic safety data. Previous studies majorly …
crash risk is formulated using Washington State traffic safety data. Previous studies majorly …