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

中文翻译：

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基于V2V车辆通信的安全驾驶模型

随着车联网通信技术的飞速发展，描述车辆跟随行驶状态逐渐变得复杂。驾驶员行为、车辆类型和道路因素会影响车速，而跟车距离则反映了可变性。在本文中，构建了一个非线性跟随距离模型来表征这种可变性。该模型基于全速差模型（FVD），引入了车头时距系数、跟车车型系数、反映驾驶员个人特征的通信提前响应参数、反映道路的坡度系数和弯道曲率系数条件等，并进行分析以获得模型的稳定性条件。MATLAB应用于模型的数值模拟实验，