Vulnerability Analysis of the Urban Transport System in the Context of Smart Cities

A. A. F. G. M. Pertence, R. Mini, H. T. Marques-Neto
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引用次数: 1

Abstract

Large cities seek to incorporate intelligent systems into their infrastructure, industrial, educational, and social activities to improve the quality of service provided to citizens and make all processes more efficient. To this end, these cities use technologies that involve the areas of the Internet of Things, Big Data, and Governance to make decisions by governments and authorities. In the field of Urban Computing, it is possible to use open data in the GTFS format to solve the problems of the urban transport system using complex network metrics that make it possible to model complex interactions between objects in high dimensionality. Stops and routes are modeled as a graph, characterized by complex network metrics. According to the literature, if there is an interruption of the urban transport system, we make an evaluation of the degree of vulnerability of the system in the search for solutions. The main goal of this paper is to propose an approach to analyze the vulnerability of the urban transport system using complex network metrics along with GTFS data in scenarios targeted failures. As a contribution, the proposed approach uses the concept of skewness in the methodology established in the literature. The skewness enables a better understanding and differential the failure conditions from the evaluation of the vulnerability the urban transport system, through a quantitative indication of which local metrics most influence the decay of network metrics. The analysis of the results obtained in the proposed approach serves as a subsidy for studies in the search for solutions to the problems of the urban transport system, providing a tool to the set of technological options for the planning of urban transport systems of smart cities available to governments and authorities. The proposed approach can be applied in different cities, regardless of their size and location, as long as you have access to open geographic data in the GTFS format.
智慧城市背景下城市交通系统脆弱性分析
大城市寻求将智能系统整合到其基础设施、工业、教育和社会活动中,以提高向市民提供的服务质量,并使所有流程更高效。为此,这些城市使用涉及物联网、大数据和治理领域的技术,由政府和当局做出决策。在城市计算领域,可以使用GTFS格式的开放数据来解决城市交通系统的问题,使用复杂的网络度量,使高维对象之间的复杂交互建模成为可能。站点和路线被建模为一个图形,以复杂的网络度量为特征。根据文献,如果城市交通系统出现中断,我们在寻找解决方案时对系统的脆弱性程度进行评估。本文的主要目标是提出一种方法,利用复杂的网络指标和GTFS数据来分析城市交通系统在目标故障场景中的脆弱性。作为一项贡献,提出的方法在文献中建立的方法中使用偏度的概念。偏度可以通过定量指示哪些局部指标对网络指标的衰减影响最大,从而更好地理解和区分城市交通系统脆弱性评估的失效条件。对拟议方法中获得的结果的分析可以作为对寻找城市交通系统问题解决方案的研究的补贴,为政府和当局提供一套用于规划智慧城市城市交通系统的技术选择工具。建议的方法可以应用于不同的城市,无论其大小和位置,只要您能够访问GTFS格式的开放地理数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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