Research and Application of Lane Intelligent Detection System Based on Internet of Things Technology

The role of IoT technology in lane detection is significant, but there is a problem with low detection accuracy. Manual route planning cannot solve the problem of lane detection in route selection, and there are fewer lane detection indicators. Therefore, this paper proposes an Internet of Things technology to build a lane intelligent detection system. Firstly, the operation research theory is used to draw the route of the lane data, and the lane collection is divided according to the traffic flow standard to reduce the uncertainties in lane detection. Then, according to the operation research theory, the planning path is drawn to form a lane planning set. MATLAB simulation shows that under the condition of a certain traffic flow, the detection accuracy and detection time of IoT technology are better than that of manual route planning method.