为提高车辆在弯道行驶的安全性,针对车辆在弯道的侧翻、侧滑等侧向失稳事件,引入车路协同思想,假设车辆与道路之间可进行信息交互,从而将车辆结构参数、驾驶人特性等引入到传统的基于道路环境信息的弯道安全车速计算模型中,建立了一种综合考虑人、车、路等多因素的弯道安全车速计算改进模型;并利用某型货车在各种工况下进行了试验对比分析。研究结果表明:改进模型计算得到的弯道安全车速值介于现有模型计算值之间;当路面附着系数上升至一定范围时,改进模型计算得到的弯道安全车速值呈现出独有的饱和现象,从而反映车辆在弯道以较高速度行驶时所发生的侧翻事故。
In order to improve the vehicle driving safety in curved roads, aimed at vehicle lateral unstable incidents in curves, such as rollover, sideslip, it was assumed that the information between vehicle and road could be interacted with cooperative vehicle infrastructure. Driver characteristics and vehicle structural parameters were introduced to a traditional model of safety speed calculation based on road environment. An improved model of safety speed calculation in curves was established, considering the influence of human, vehicle, and road. The experimental comparative analysis was conducted by using a certain type of truck in various conditions. The results show that safety speed of improved model always falls in between the calculated values of existing models. When road adhesion coefficient rises to a certain range, safety speed of improved model has a unique saturation phenomenon, which can reflect rollover accident occurred at high speed in curves.