Design and Implementation of Highway Short-term Traffic Flow Prediction Method
The highway traffic flow is affected by many factors,the change pattern is complex and changeable,and it is difficult to accurately obtain the short-term traffic flow characteristics.Therefore,a dynamic spatiotemporal neural network is intro-duced to predict the highway short-term traffic flow.The traffic flow threshold is used to calculate the vehicles exceeding the road capacity,and the traffic flow data are repaired according to the Euclidean distance among data samples.The highway short-term traffic flow prediction model based on dynamic spatiotemporal neural network is constructed.Multi-layer three-di-mensional convolution is used to capture the characteristics of short-term traffic flow,and the highway short-term traffic flow prediction result is obtained.The experimental results show that the proposed method fits the real traffic conditions well,the determination coefficient is as high as 0.94,and the maximum predicted delay is only 0.009 ms.
万方数据
维普
