ArcGIS-based Traffic Prediction Model

Abstract:

Conventional traffic prediction models are time-consuming and arduous.Since the traffic of Indiana is stabilized,the Ordinary Kriging,inverse distance weighting(IDW) and radial basis functions(RBF)interpolation methods were used to predict the traffic of Indiana based on ArcGIS software.With the comparison of the prediction and weigh-in-motion(WIM) Systems,the results show that the inverse multiquadric spline(IMS)interpolation of RBF interpolations is suitable for Indiana traffic distribution and the actual prediction error is minimum.