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Research on Analysis Method of Characteristics Generation of Urban Rail Transit

机译：城市轨道交通特征生成分析方法研究

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With the development of society and economy, the urban rail transit has become one of the important components of urban transportation system, while the construction of the urban rail greatly improves the public transportation environments. Currently, there are many research focus on the passenger flow predictions according to their corresponding historical data, however, it is hard to assist transport models vary such volumes for a new station planning or being constructed. In view of this limitation, we provide a novel method for urban rail station characteristics analysis in intelligent transportation considering city land usages. Initially, point of interest (POIs) are divided by the proposed RC-tree (Colored R-tree)-based algorithm into the bounded areas for each station. Second, the Diversity and Proportion approaches are proposed to extract the top-k POIs from bounded areas based on their semantic and spatial characteristics. Then, classify the stations based on the similarity of the extracted top-k POIs. Moreover, we made a case study on real dataset, including a large volume of Automatic Fare Collection system (AFC) records for the experimental evaluations, and the results show that the proposed method can verify the rationality of land use and provide support for the application of transportation model technology.
机译：随着社会和经济的发展，城市轨道交通已成为城市交通系统的重要组成部分，而城市轨道的建设大大提高了公共交通环境。目前，根据其相应的历史数据，有许多研究重点是乘客流预测，然而，很难帮助运输模型对新站规划或建造的批量变化。鉴于这种限制，考虑城市土地使用，我们为城市轨道站特征分析提供了一种新颖的方法。最初，兴趣点（POI）由所提出的RC树（彩色的R树）除以每个站的界限区域。其次，提出了多样性和比例方法，以基于其语义和空间特征从有界区域提取顶部-K POI。然后，基于提取的TOP-K POI的相似性对该站进行分类。此外，我们对实际数据集进行了案例研究，包括实验评估的大量自动票价收集系统（AFC）记录，结果表明，该方法可以验证土地利用的合理性并为应用提供支持作者：王莹，运输模式技术JOURNAL。

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