An Approarch the Dnamic User-Optimal Route Choice Problem in Intelligent Transportation System
This paper gives an approarch to solving the Dynamic User-Optimal Choice Problem in Intelligent Transportation System(ITS). We built up a Variational Inequality (VI) model for the problem at first. To overcome the difficulty of getting the real-time Origin-Destination (O-D) matrix, the Maximum Entropy Model was employed to estimate the O-D matrix, according to the prior O-D matrix and the real-time traffic count. Then the diagonalization technique is used to solve the VI model. At last, a simple network is used to test the methods.