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Research on Screening and Identification Method of Commuter Flow in Metro Card Data

机译:地铁卡数据中通勤流筛选与识别方法研究

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Commuter flow is an important part of metro passenger flow; accurately identifying commuter flow, finding the current distribution characteristics and changing rules of passenger flow are of great significance to rail transit planning, daily driving organization, and operation management. In order to effectively identify commuter flow, this paper proposes a method for screening and identifying metro card data based on the screening set. Metro card data includes IC card, mobile payment, and other types of data; this paper analyzes all types of card data, summarizes the characteristics of commuter flow, and proposes a simple and reliable screening rule to screen and identify commuter flow data. Finally, this paper conducts an example study of commuter flow based on the card data of Hangzhou Metro Line 2, and the results show that the proposed method meets the actual requirements.
机译:通勤流是地铁客流的重要组成部分;准确地识别通勤流,找到当前分布特性和乘客的变化规则对铁路运输规划,日常驾驶组织和操作管理具有重要意义。为了有效地识别通勤流程,本文提出了一种基于筛选集的筛选和识别地铁卡数据的方法。地铁卡数据包括IC卡,移动支付和其他类型的数据;本文分析了所有类型的卡数据,总结了通勤流的特点,并提出了一种简单可靠的筛选规则来筛选和识别通勤流数据。最后,本文进行了基于杭州地铁2号线3的卡数据的通勤流程的示例研究,结果表明该方法符合实际要求。

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