动态多用户类型和多模式拥挤收费模型

为了确定一般排队网络在高峰时段随时间变化的最优拥挤收费,将描述时变交通流的时空拓展网络(STEN)与传统的网络平衡模型技术相结合,建立了多类型、多模式动态拥挤收费模型.考虑不同类型的出行者有不同的时间价值(VOT),同时,对单车种出行方式进行延拓,建立了包含公交车与私家车在内的多模式交通网络拥挤收费模型,该模型是一个带有路段容量限制下的多类型、多模式网络平衡问题,可以采用内惩罚函数法求解.通过算例分析表明,该模型可以提供动态拥挤收费策略,分析拥挤收费下不同时间价值的用户对于出行方式、出发时间以及出行路径的不同选择,相比于传统的基于瓶颈的静态单模式拥挤收费模型有一定的进步.

Dynamic traffic congestion pricing model for multi-class and multi-mode systems

In order to determine the time-varying optimal pricing at peak-period in a general queuing network,a combined application of the space-time expanded network(STEN) representation of time-varying traffic flow and the conventional network equilibrium modeling techniques is employed in this study.A multi-class and multi-modes traffic network equilibrium model is developed in which travelers of different class may have distinct VOTs(value of time).Moreover,one mode of transportation network is extended to ones which have the potential to include both buses and private cars.This model is a problem of multi-class and muti-modes network equilibrium with capacity constraints,thus can be solved by the inner penalty function method.The example of numerical analysis shows that this model can provide dynamic congestion pricing strategy,and can analyze how the congestion pricing influences the selection of travel mode,departure time and travel route of travelers with different VOT,and hence makes a significant advance over the conventional static single-mode congestion pricing model based on the bottleneck.