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A Sensitivity Based Approach to Network Reliability Assessment

机译:基于灵敏度的网络可靠性评估方法

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This paper presents a methodology for evalauting the reliability of transportation networks. While tools already exist to determine the expected benefits of travel demand management or new infrastructure, tools have yet to be developed which take into account disbenefits arising from randomly occurring disturbances. The paper focuses on the sensitivity of both path travel times and expected minimum origin-destination travel times to normal within-day demand and supply variation, where demand variation takes the form of perturbations to origin-destination flows and supply variation takes the form of perturbations to link saturation flows. Two extreme cases are distinguished; one where route choices fully respond to the perturbations, corresponding to the more major, longer-term incident and the other where route choice does not respond, correspodning to the more minor, shorter-term incident. A logit assignment model, referred to as the Path Flow Estimator (PFE), is linearised with respect to the parameters affected by within-day variation, using sensitivity expressions. As analytically derived sensitivities are sometimes difficult to calcualte for large networks, their approximation by finite differencing is considered. Results obtained for a large network (500 links, 8000 OD pairs) in York are discussed, as well as results obtained for a much smaller network (100 links, 60 OD pairs) in Leicester.
机译:本文提出了一种评估运输网络可靠性的方法。尽管已经存在确定旅行需求管理或新基础设施的预期收益的工具,但尚未开发出考虑到随机发生的干扰引起的弊端的工具。本文着重于路径旅行时间和预期的最小起点-终点旅行时间对正常日内需求和供应变化的敏感性,其中需求变化采取对起点-目的地流量的扰动形式,供应变化采取对扰动的形式链接饱和流。区分了两种极端情况;一种是路线选择完全响应扰动,对应于较大的长期事件,另一种是路线选择没有响应,对应于较小的短期事件。使用敏感度表达式,将对数分配模型(称为路径流估计器(PFE))相对于受日内变化影响的参数进行线性化。由于分析得出的灵敏度有时对于大型网络很难计算,因此考虑通过有限差分对其进行近似。讨论了在约克的大型网络(500个链接,OD线对)获得的结果,以及在莱切斯特的小型网络(100个链接,OD线对)获得的结果。

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