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General Stochastic User Equilibrium Traffic Assignment Problem with Link Capacity Constraints

机译:链路容量约束的一般随机用户均衡流量分配问题

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This paper addresses a general stochastic user equilibrium (SUE) traffic assignment problem with link capacity constraints. It first proposes a novel linearly constrained minimization model in terms of path flows and then shows that any of its local minimums satisfies the generalized SUE conditions. As the objective function of the proposed model involves path-specific delay functions without explicit mathematical expressions, its Lagrangian dual formulation is analyzed. On the basis of the Lagrangian dual model, a convergent Lagrangian dual method with a predetermined step size sequence is developed. This solution method merely invokes a subroutine at each iteration to perform a conventional SUE traffic assignment excluding link capacity constraints. Finally, two numerical examples are used to illustrate the proposed model and solution method.
机译:本文解决了具有链路容量约束的一般随机用户均衡(SUE)交通分配问题。它首先根据路径流提出了一种新的线性约束最小化模型,然后表明其局部最小值都满足广义SUE条件。由于所提出模型的目标函数涉及特定路径的延迟函数,而没有明确的数学表达式,因此对其拉格朗日对偶公式进行了分析。在拉格朗日对偶模型的基础上,开发了具有预定步长序列的收敛拉格朗日对偶方法。此解决方案方法仅在每次迭代时调用一个子例程,以执行常规的SUE流量分配(不包括链路容量约束)。最后,通过两个数值例子来说明所提出的模型和求解方法。

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