摘要: |
With the fast increase in passenger and freight travel demand, traffic congestion has become a persistent problem to the surface transportation network in the United States. Congestion undermines people's quality of life through wasted time, energy, money, as well as associated environmental concerns and safety issues. Traditional solutions to mitigate traffic congestion through capacity expansion projects are not always feasible due to the exceedingly high cost or limited available land. Over the years, various operational policies have been adopted or proposed to relieve the traffic congestion at lower cost, for instance, reducing demand by imposing bans on commercial vehicles for particular hours, discouraging peak-hour traveling, re-timing of traffic lights, metering access to highway and so on. The primary goal of this study is to develop a feedback-control based dynamic toll pricing strategy to formulate and solve optimal tolls with a focus on three distinct objectives of the road authority. The first objective of congestion pricing is to maximize toll revenues while maintaining a minimum desired level of service on managed lanes. The second one is to maximize total travel utility while keeping a minimum desired level of service on managed lanes. The third objective is to maximize total social surplus, which is the combination of revenue and travel utility maximization while meeting the constraint of desired level of service. According to Washington State Route SR-167 HOT Lane project, the minimum level of service requires the average speed on the managed lanes to be larger than 45 miles per hour at peak period. In addition the study will examine the interaction between toll exempt vehicles such as high occupancy vehicles with 3 or more passengers and buses. |