LI Yinjie, QIN Huibin, CHEN Jianan. Design of intelligent lane indicator based on icing risk warning model[J]. 2020, (8): 114-116+122. DOI: 10.13873/J.1000-9787(2020)08-0114-03.
基于凝冰风险预警模型的智能车道指示器设计
摘要
针对高速公路隧道行车驾驶员无法判断洞口路面凝冰状况
影响行车安全的问题
提出了智能车道指示器。在指导车辆在隧道内按指定方向行驶的基本功能及可根据隧道路况更改限速标志外
可以收集隧道洞口环境参数
经由道路凝冰风险预警模型计算路面凝冰概率
并变换限速标志警示驾驶员
提高行车安全性。设计以STM32系列芯片为主控芯片
搭配红外非接触式温度传感模块、湿度传感器模块、发光二极管(LED)显示模块。经过硬件连接
凝冰风险模型编程调试后
实现车道指示器根据隧道洞口环境数据对凝冰风险进行概率预测
变换限速标志警示驾驶员。
Abstract
Aiming at the problem that while driving in expressway tunnel
driver can not judge the condensed ice condition of the road
which will affect the driving safety
an intelligent lane indicator is proposed. It can not only guide the basic functions of the vehicle traveling in the specified direction in the tunnel
but also can flexibly change speed limit sign according to the tunnel condition. In addition
the tunnel hole environmental parameters can be collected
the road ice condensing risk warning model is used to calculate the pavement icing probability
and the speed limit sign is changed to alert the driver to improve driving safety. The intelligent lane indicator uses STM32 series chip as the main controller
with infrared non-contact temperature sensing module
humidity sensor module and light emitting diode( LED) display module. After the hardware connection and the icing risk model are programmed and debugged
the lane indicator realizes the probability prediction of the icing risk according to the tunnel environment data
and changes the speed limit flag to alert the driver.