Safe Driving Model Based on V2V Vehicle Communication

Along with the rapid development of connected vehicle communication technology, describing following driving status becomes gradually complicated. Driver behavior, type, and road factors affect speed, distance reflects variability. In this paper, a nonlinear model is constructed to characterize The based on full speed difference (FVD), introduces headway time coefficient, type advance response parameter reflecting driver’s personal characteristics, slope coefficient curve curvature conditions, etc., analyzes obtain stability conditions model. MATLAB applied numerical simulation experiments model, results show that can better describe variability due driver attributes, in scenario, thus providing reference for traffic flow control management.