A Study on a Driver Model for Longitudinal Control on Heavy Duty Vehicle

This paper is concerned with a driver model of heavy-duty vehicles for longitudinal control using the multiple regression analysis. Firstly, as a longitudinal control, modeling of a fore-and-aft operation was constructed for each gear based on experiment data for heavy-duty vehicles. Next, the gear change model was constructed to select a longitudinal control model. Using the factor analysis for the model, the relationship between input and output was analyzed. Finally, the driver’s control for longitudinal direction was described using this driver model.