DECISION SUPPORT SYSTEM FOR VALUE PRICING STRATEGIES ON I-394 CORRIDOR NETWORK

Abstract

The rapid evolution of ITS technologies presents more and more specific requirements for dynamic network modeling. Conversely implementation of dynamic models is becoming more and more important for the design and evaluation of ITS. Dynamic transportation network models can be considered for various ITS applications, such as value pricing studied in the paper. Implementation of value pricing on a network may result in reduced congestion, improved productivity of transportation network and reduced emissions. Substantial revenues can also be generated to finance highway construction and maintenance. We use a stochastic dynamic transportation network model with Monte Carlo simulation and the Method of Successive Averages to evaluate value pricing strategies for I-394 corridor network, which is a feasible decision support system

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