Prediction of Driver’s Center of Gravity Position on a Stand-Up Type PMV Considering Intentions

Abstract

Abstract In recent years, Personal Mobility Vehicles (PMVs) have been attracting attention as a new means of transportation. They are environmentally friendly without exhausting harmful gases. These vehicle bodies are relatively smaller than cars, so they have a high affinity for pedestrian space. However, depending on the specifications of the vehicle, driver’s behaviors have great effect on the vehicle movement because the weight of the vehicle is comparatively low. In addition, applying the automatic driving on PMV will be one of the next steps to make use of PMVs. It is important to understand the dynamic behavior of drivers not only during their intentional driving but also during the automatic driving. In this study, we focused on stand-up type PMVs. We measured driver’s center of gravity and several forces on a standing PMV. From the measurements, we looked at the correlation coefficient, and used multiple regression analysis to derive the prediction equations of driver’s center of gravity position on stand-up type PMVs. These results can be applied to simulate the dynamic motion of the PMV and a driver.