A Study of Both Optimal Locations and Toll Levels Road Pricing Using Genetic Algorithm

Abstract

This paper takes advantage of a GA based Bi-Level Programming Problem to find the optimal scheme of second-best road pricing problem, the method optimizes locations and toll levels simultaneously. The highlight of this paper is that the case study was taken on the actual network of Nagoya Metropolitan Area instead of a numeral network, in order to evaluate the effect of the method, we made comparison between a cordon pricing scheme and the same number of links tolled optimal locations and toll levels schemes. The result showed that under the situation of the same number of links, the optimal locations and toll levels scheme works better than the cordon pricing one.