Considering perception errors in network efficiency measure: an application to bridge importance ranking in degradable transportation networks
Considering perception errors in network efficiency measure: an application to bridge importance ranking in degradable transportation networks
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DOI：
10.1080/23249935.2015.1087694
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发表时间：
2015-10
期刊：
影响因子：
--
通讯作者：
Sarawut Jansuwan;A. Chen
中科院分区：
文献类型：
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作者：
Sarawut Jansuwan;A. Chen
在本文中，一个新的网络效率的措施，考虑到旅行者的感知错误，以及流量，行为和成本的开发，用于评估拥挤的交通网络中的链路重要性。网络效率测度的核心组成部分是一个嵌入在网络均衡框架中的概率路径选择模型，该模型明确地捕捉了旅行者的感知误差和链路成本函数之间的相互作用，以产生随机用户均衡（SUE）流模式。定义为相对网络效率下降的重要性措施的发展，在网络中的链接排名。网络效率和重要性度量方法适用于非拥挤和拥挤的交通网络。为了证明概念，我们使用两个网络来展示所提出的措施的功能和适用性。在Braess网络中，我们研究的值的链接效率，链接的重要性，和链接的排名比较的拓扑措施和用户平衡（UE）措施。此外，我们调查的影响能力退化水平，需求水平，感知误差的程度。以加拿大马尼托巴省温尼伯市的温尼伯网络为例，应用网络效率和重要性指标对城市桥梁进行评估。我们比较SUE的重要性与本地容量（V/C）比的方法，并调查桥梁的重要性措施的背景下，洪水的情况下，检查提供信息给司机的效果。结果表明，SUE网络效率和重要性度量具有理论和应用价值。
In this paper, a new network efficiency measure that takes into account of traveller's perception errors as well as flows, behaviours, and costs is developed for assessing link importance in congested transportation networks. The core component of the network efficiency measure is a probabilistic route choice model embedded in a network equilibrium framework, which explicitly captures the interactions between travellers’ perception errors and link cost functions to produce a stochastic user equilibrium (SUE) flow pattern. The importance measure defined as the relative network efficiency drop is developed to rank the links in the network. The network efficiency and importance measures can work for both uncongested and congested transportation networks. To show proof of concept, we use two networks to demonstrate the features and applicability of the proposed measures. In the Braess network, we examine the value of link efficiency, link importance, and link ranking in comparison with the topological measure and the user equilibrium (UE) measure. In addition, we investigate the effects capacity degradation level, demand level, and degree of perception error. In the Winnipeg network, we apply the network efficiency and importance measures to assess the bridges in the city of Winnipeg, Manitoba, Canada. We compare the SUE importance with the localised volume to capacity (V/C) ratio method, and investigate the bridge importance measures in the context of a flooding scenario to examine the effect of providing information to drivers. The results demonstrate that the SUE network efficiency and importance measures are useful in both theory and applications.