Modelling Dynamic Urban Road Networks Performance under Congestion Pricing Strategies

Abstract

The development of modern information systems able to process real-time data concerning the traffic state network-wide is making possible the implementation of new forms of strategies concerning urban transportation networks management. The success of the implementation of such strategies is heavily depended on the detailed design of them. In the current study, an evaluation framework of the application of a congestion pricing strategy based on the marginal travel cost is presented, able to identify the dynamic impact of congestion pricing on the performance of the system, by taking into consideration behavioral characteristics of multiple user classes. This framework builds on tactics of variable road congestion pricing, based on theories of stochastic optimal control.