class='kwd-title'>Method name: Space Syntax clas'/> A novel approach to model traffic on road segments of large-scale urban road networks
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A novel approach to model traffic on road segments of large-scale urban road networks

机译：一种对大型城市路网路段的交通进行建模的新颖方法

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class="kwd-title">Method name: Space Syntax class="kwd-title">Keywords: Traffic modeling, Centrality, Space syntax, Network analysis, Developing countries class="head no_bottom_margin" id="abs0010title">AbstractThe study proposes a novel method for modeling traffic volumes at the road segment level of large-scale urban road networks. This study has been placed in a milieu where existing methods on modeling vehicular traffic volume are hampered by data and cost constraints, especially in developing countries. Emerging traffic modeling methods, based on centrality and space syntax provides a technically-efficient approach to overcome the above-mentioned constraints. Nevertheless, those methods are yet to be popular among practitioners due to limited accuracy and validity. This study modifies the existing methods and validates in five case cities to make them practice-ready. Findings of this study indicated that the proposed method is competent enough to estimate traffic volume of road segments on a par with the internationally accepted standards. class="first-line-outdent" id="lis0005">
  • • The proposed method combines two network centrality measures abstracting the traffic volume on a road segment as the sum of origin-destination trips (i.e., Closeness-Centrality) and pass-by trips (i.e., Betweenness-Centrality).
  • • The study modifies the ‘distance’ variable in the existing formula as 'path-distance' which captures topological and mobility characteristics of roads.
  • • The method does not require extensive data and can be implemented by utilizing publicly available open-source network analysis software, hence, ideal for resource-scarce situations.
    • 机译：<！-fig ft0-> <！-fig @ position =“ anchor” mode =文章f4-> <！-fig mode =“ anchred” f5-> <！-fig / graphic | fig / alternatives / graphic mode =“ anchored” m1-> class =“ kwd-title”>方法名称： Space Syntax class =“ kwd-title”>关键字：流量建模，中心性，空间语法，网络分析，发展中国家 class =“ head no_bottom_margin” id =“ abs0010title”>摘要该研究提出了一种用于对大型城市路段水平的交通量进行建模的新颖方法道路网。这项研究被置于一个环境中，在该环境中，现有的车辆交通量建模方法受到数据和成本约束的阻碍，尤其是在发展中国家。基于中心性和空间语法的新兴交通建模方法提供了一种技术有效的方法来克服上述约束。然而，由于有限的准确性和有效性，那些方法尚未在实践者中流行。这项研究修改了现有的方法，并在五个案例城市进行了验证，以使其可付诸实践。这项研究的结果表明，所提出的方法足以胜任与国际公认标准相当的路段交通量。 class =“ first-line-outdent” id =“ lis0005”> <！-列表-behavior =简单前缀-word = mark-type = none最大标签大小= 9->
  • •提出的方法结合了两个网络集中度度量，将路段上的交通量抽象为起点-目的地行程（即，亲密性-中心性）和过客行程（即，介乎性-中心性）的总和。
  • •该研究修改了现有的“距离”变量公式为“路径距离”，可以捕获道路的拓扑和移动性特征。
  • •该方法不需要大量数据，可以通过使用公开可用的开源网络分析软件来实现，因此非常适合资源匮乏的情况。

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