Dynamic planning method of traffic route based on internet of vehicles

In order to overcome the problems of large total vehicle delay and high average absolute error in the process of travel path dynamic planning, this paper proposes a new dynamic planning method of transportation travel path based on Internet of vehicles technology. This method is based on the RFID technology of Internet of vehicles, which makes the electronic tag on the vehicle connect with the traffic network platform to determine the specific position, speed and driving status of the vehicle, so as to identify the behavior track of the vehicle. The vehicle target image is enhanced to estimate the real-time average traffic flow speed of the vehicle driving section. The shortest path of the vehicle driving process is taken as the value function, and the related road path distance is used to complete the dynamic planning of the traffic travel path. The experimental results show that the average total delay of fixed cycle vehicles is 4.604s, which can improve the control effect of traffic lights. The average absolute error value is far less than the existing three methods, and the minimum value can reach 8.13. The predicted value of traffic flow is close to the actual value.