The optimization model of toll for urban expressways with deep learning

Abstract

The determination of distance based toll for urban expressway is formulated as the problem to define toll function corresponding to the traffic conditions. The complicate evaluation process is requited to involve the nonlinear mathematical programing for analyzing the traffic conditions. Therefore, the evaluation indices for urban transport networks is estimated according to the variable traffic demand and toll function with several parameters. In the study, the optimization model of toll function for urban expressway is constructed with deep learning approach to describe the above process. In particular, the toll function determination model is formulated by convolutional neural networks. Finally, the optimization model of toll function for urban expressway is established.