Dynamic Speed Control Technology and Implementation of Urban Roads in Rainy and Foggy Environment
Aiming at the driving safety problems under rain and fog environment,a dynamic speed control model was established in this paper to determine driving speed reasonably and reduce the influence of unsafe factors on driv-ing safety.The wavelet de-noising method was used to process the driving data,and the LSTM method was adopted to train the dynamic speed data,and then the speed was predicted according to the historical speed of the corresponding road section.The speed limit value of the corresponding road section was set with 85%speed of the predicted speed as reference.In order to test actual effect of the speed limit value determined,acceleration and deceleration force,as well as pedaling frequency of accelerator and brake pedal were used as testing means.Experimental results show that the LSTM model has the superiority in dealing with the traffic speed prediction problem dependent on time;Under the new speed limit set,the driver's acceleration and deceleration efforts are significantly reduced during driving,and the frequency of rapid acceleration and deceleration is reduced.The number of vehicles driving at high speeds on the ex-perimental section is reduced,and the traffic flow tends to stabilize.
Road safetyRain and fog environmentDynamic speed-controlSpeed prediction
NETL
NSTL
万方数据
维普
