Application of deep learning model to toll determination for urban expressways

Abstract

The determination of distance-based toll for urban expressway is discussed to realize the efficient traffic on urban networks in the study. Since the several evaluation indices for social benefit would be obtained from the traffic assignment for urban network, the rather large efforts in complex calculation process should be required. The social benefit evaluation model is created with convolutional neural network approach. As the deep learning may provide the approximation of traffic assignment results, the efficient toll determination problem of urban expressway would be solved practically.