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Vulnerability analysis of highway traffic networks using origin-destination tollgate data

机译:利用起点-目的地收费站数据分析高速公路交通网络的脆弱性

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The existing research on analyzing the vulnerability of road networks is largely dependent on the assumption of a known traffic model in the simulations. In this paper, we present a new approach for quantitatively evaluating the vulnerability of highway networks based on real-world highway tollgate data that reflect the highway's characteristics, such as structural betweenness and traffic movements. Specifically, O-D (origin-destination) tollgate data are collected across three major highway networks in China (Beijing city and Shanxi and Anhui Provinces) for three months. The case study examines the vulnerability of highway traffic networks from both macroscopic and microscopic perspectives. Moreover, a more in-depth study of vulnerability is conducted from residential and transportation perspectives. Our evaluation results will serve as guidelines for improving the toll highway system. i.e., to help the road administration identify the critical sections (that are highly vulnerable to congestion) and take early maintenance actions for avoiding monetary/time costs caused by disruptions.
机译:现有的分析道路网络脆弱性的研究很大程度上取决于模拟中已知交通模型的假设。在本文中,我们提出了一种新方法,可基于反映高速公路特征(例如结构中间性和交通运动)的真实世界高速公路收费站数据,对高速公路网络的脆弱性进行定量评估。具体来说,O-D(目的地)收费站数据是在三个月内在中国的三个主要公路网(北京,山西和安徽省)上收集的。案例研究从宏观和微观两个角度考察了高速公路交通网络的脆弱性。此外,从住宅和交通的角度对脆弱性进行了更深入的研究。我们的评估结果将作为改善收费公路系统的指南。即,帮助道路管理部门确定关键部分(极易发生拥堵)并采取早期维护措施,以避免因干扰而造成的金钱/时间成本。

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