… After predicting the commuting mode shares, SHAP values (SHapley Additive exPlanations)
are used to evaluate the impact of the built environment on commuting mode choices. As an …

… The plug-in hybrid electric vehicle (PHEV) CO 2 and NO x emission models were constructed
based on machine learning approach. These models have good generalization ability and …

… An interpretable machine learning framework Shapley additive explanations (SHAP) is …
There are some new findings in the aspects of bicyclists’ physical factors and electric vehicle …

… SHapley Additive exPlanations (SHAP) to explain the decision process in each timestep of
the vehicle… In this paper, the energy model for electric vehicles is embedded in SUMO with an …

… This study aims to investigate the effectiveness of local interpretable model-agnostic explanation
(LIME) and Shapley additive explanation (SHAP) approaches for chronic heart disease …

… of the proposed model, we will explain the result obtained using the SHAPLEY approach. …
Real-time state-ofhealth estimation for electric vehicle batteries: a data-driven approach. Appl …

… The importance of each feature is measured using the average of absolute Shapley additive
explanation (SHAP) values [62]. SHAP is an explanation machine learning technique that …

… developed model using Shapley Additive explanations (SHAP… inclination and the type
of vehicle have the highest significant … terrain for hybrid electric vehicle with vehicle-infrastructure …

… ensemble learning model coupled with the Shapley Additive Explanation (SHAP) method
was … His research interests include transportation infrastructure systems and electric vehicle. …

… Spearman correlation analysis and Shapley Additive Explanation (SHAP) algorithm. Among
them, carbon dioxide share of exhaust (CO 2,ratio ), acceleration, vehicle specific power (…