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Fixed-point fast sweeping weighted essentially non-oscillatory method for multi-commodity continuum traffic equilibrium assignment problem

机译:多商品连续交通均衡分配问题的定点快速扫描加权基本非振荡方法

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摘要

This work presents a fixed-point fast sweeping weighted essentially non-oscillatory method for the multi-commodity continuum traffic equilibrium assignment problem with elastic travel demand. The commuters’ origins (i.e. home locations) are continuously dispersed over the whole city with several highly compact central business districts. The traffic flows from origins to the same central business district are considered as one commodity. The continuum traffic equilibrium assignment model is formulated as a static conservation law equation coupled with an Eikonal equation for each commodity. To solve the model, a pseudo-time-marching approach and a third order finite volume weighted essentially non-oscillatory scheme with Lax–Friedrichs flux splitting are adopted to solve the conservation law equation, coupled with a third order fast sweeping numerical method for the Eikonal equation on rectangular grids. A fixed-point fast sweeping method that utilizes Gauss–Seidel iterations and alternating sweeping strategy is designed to improve the convergence for steady state computations of the problem. A numerical example is given to show the feasibility of the model and the effectiveness of the solution algorithm.
机译:这项工作提出了具有弹性出行需求的多商品连续交通均衡分配问题的定点快速扫描加权基本非振荡方法。通勤者的出身(即居住地)持续分布在整个城市中,并设有几个高度紧凑的中央商务区。从起点到同一中央商务区的流量被视为一种商品。连续交通均衡分配模型被公式化为静态守恒定律方程式,再结合每种商品的Eikonal方程式。为了求解该模型,采用伪时间行进方法和带有Lax–Friedrichs通量分裂的三阶有限体积加权基本非振荡方案来求解守恒律方程,并结合三阶快速扫描数值方法来求解该模型。矩形网格上的Eikonal方程。利用高斯-赛德尔迭代和交替扫描策略的定点快速扫描方法旨在提高问题稳态计算的收敛性。数值例子说明了该模型的可行性和求解算法的有效性。

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