Abstract
Congestion pricing is one of the most popular strategies to tackle the congestion problem in recent TDM practices. Because of its special inherent performance to combat the congestion problem at specific time and period, transport professionals are become interested to introduce to their cities. For the fact that, study on the characteristics of congestion pricing is ever more demanding and playing an important role in entire process. Taking this into consideration, this paper analyzes and explores the characteristics of time based, distance based and area wide congestion pricing schemes by tiss-NET microscopic simulator. The hypothesis based algorithms were developed to conduct the simulation, and the function value of time from the developed algorithms has been estimated from route choice behavior model. State preference data has achieved to estimate the value of time for motorists. The simulation results show the effectiveness, impacts, and their characteristics on the congested imaginary road network.
