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

机译：智慧城市背景下城市交通系统的脆弱性分析

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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.
机译：大城市寻求将智能系统纳入其基础设施，工业，教育和社会活动，以提高公民提供的服务质量，使所有流程更高效。为此，这些城市使用技术涉及事物，大数据和治理领域的技术，以便各国政府和当局做出决策。在城市计算领域中，可以使用GTFS格式中的开放数据来解决城市传输系统的问题，使用复杂的网络指标，使得可以在高维之间模拟对象之间的复杂相互作用。停止和路由被建模为图形，其特征在于复杂的网络指标。根据文献，如果城市运输系统中断，我们会评估系统在寻求解决方案中的脆弱程度。本文的主要目标是提出一种方法来分析城市传输系统的脆弱性，使用复杂的网络指标以及在目标故障中的场景中的GTFS数据以及GTFS数据。作为一种贡献，所提出的方法利用文献中建立的方法中的偏光概念。通过定量指示，通过定量指示，可以更好地理解和差异，从漏洞的漏洞评估城市传输系统的评估，其中当地度量最大程度地影响了网络指标的衰减。分析拟议方法中获得的结果是在寻求解决城市运输系统问题方面的研究的补贴，为可用智能城市的城市交通系统规划提供了一种技术选择的工具政府和当局。拟议的方法可以应用于不同的城市，无论其大小和位置如何，只要您可以访问GTFS格式的开放地理数据。

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