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通过在公路急弯路段前布设各类气象检测器和弯道沿线布设交通检测器,在车辆通过时收集相关气象参数和车辆行驶参数,利用人工神经网络测算此时汽车与路面间的附着系数和滚动阻力系数,进而结合道路线形设计参数计算前后两车间行驶所需的安全车距,并根据车辆通过交通检测器的时间推算此时车辆间的实际距离,当车间实际距离小于安全车距时对后车进行车速报警,由此预防追尾事故的发生,提高公路急弯路段在恶劣天气条件下的安全性。
By arranging various weather detectors and traffic detectors along curved road in front of the sharp curved section of highway, the relevant meteorological parameters and driving parameters of the vehicle are collected when the vehicle passes through, and the adhesion coefficient and rolling between the car and the road surface are measured by the artificial neural network And then calculate the safety distance between the two workshops before and after combining with the linear design parameters of the road and calculate the actual distance between the vehicles at this time according to the time when the vehicle passes the traffic detector. When the actual distance between the workshops is less than the safety distance, Car speed alarm, thus preventing the occurrence of rear-end accidents and improve the safety of road sections under sharp weather conditions in inclement weather.