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A nonlinear equation system approach to the dynamic stochastic user equilibrium simultaneous route and departure time choice problem

机译:动态随机用户平衡同时路径与出发时间选择问题的非线性方程组方法

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摘要

In dynamic stochastic user equilibrium simultaneous route and departure time choice (DSUE-SRDTC) problems, route travel costs can be non-monotone even if route travel times are monotone with respect to route flows. As a result, the mapping function of the variational inequality (VI) problems for the DSUE-SRDTC problems can be non-monotone, and many existing solution algorithms developed for the DSUE-SRDTC problems do not guarantee convergence under this non-monotone condition. This paper formulates the DSUE-SRDTC problem with fixed demand as a system of nonlinear equations. The mapping function of the proposed system of nonlinear equations is defined by a dynamic route choice problem, which can also be formulated as a VI problem with a strictly monotone mapping function under some assumptions. This property enables that the solution algorithm for the DSUE-SRDTC problem can avoid the requirement of the monotonicity of the route travel cost functions for the convergence of the solution procedure. A backtracking inexact Broyden-Fletcher-Goldfarb-Shanno (BFGS) method is adopted to solve the system of nonlinear equations, and iterative methods are developed to generate an initial solution for the BFGS method and solve the dynamic route choice problem. Finally, numerical examples are set up to show that the proposed method outperforms many existing algorithms for solving the DSUE-SRDTC problem in terms of guaranteeing solution convergence.
机译:在动态随机用户平衡同时路线和出发时间选择(DSUE-SRDTC)问题中,即使路线旅行时间相对于路线流量是单调的,路线旅行成本也可以是非单调的。结果,DSUE-SRDTC问题的变分不等式(VI)问题的映射函数可以是非单调的,并且为DSUE-SRDTC问题开发的许多现有解决方案算法不能保证在此非单调条件下的收敛性。本文将具有固定需求的DSUE-SRDTC问题公式化为一个非线性方程组。所提出的非线性方程组的映射函数由动态路径选择问题定义,在某些假设下,它也可以表示为具有严格单调映射函数的VI问题。此属性使DSUE-SRDTC问题的求解算法可以避免求解过程的收敛性对路线成本函数的单调性的要求。采用回溯不精确的Broyden-Fletcher-Goldfarb-Shanno(BFGS)方法求解非线性方程组,并开发了迭代方法以生成BFGS方法的初始解并解决动态路线选择问题。最后,通过数值算例表明,该方法在保证解收敛性方面优于许多现有的解决DSUE-SRDTC问题的算法。

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