Abstract

In this article, a discrete non-linear mathematical programming model with a variational inequality constraint is proposed to determine road tolls and time-varying congestion tolls for a freeway electronic toll collection system under a build–operate–transfer arrangement. An interdependent relationship between the profits of private investors and the temporal and spatial distributions of traffic demand is integrated into the proposed dynamic road-pricing model. Assuring the maximization of social welfare as a working assumption, an optimal toll scheme is determined by maximizing private investors’ profits. A modified Nelder–Mead simplex algorithm integrated with the nested diagonalization method is elaborated to solve this dynamic road pricing problem. Numerical results are given to demonstrate its validity.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call