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Development of Origin-Destination Matrices Using Mobile Phone Call Data: A Simulation Based Approach

机译:基于手机呼叫数据的始发地目的地矩阵的开发:一种基于仿真的方法

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In this research, we propose a methodology to develop OD matrices using mobile phone CallDetail Records (CDR) and limited traffic counts. CDR, which consist of time stamped towerlocations with caller IDs, are analyzed first and trips occurring within certain time windows areused to generate tower-to-tower transient OD matrices for different time periods. These are thenassociated with corresponding nodes of the traffic network and converted to node-to-nodetransient OD matrices. The actual OD matrices are derived by scaling up these node-to-nodetransient OD matrices. An optimization based approach, in conjunction with a microscopictraffic simulation platform, is used to determine the scaling factors that result best matches withthe observed traffic counts. The methodology is demonstrated using CDR from 2.87 millionusers of Dhaka, Bangladesh over a month and traffic counts from 13 key locations over 3 days ofthat month. The applicability of the methodology is supported by a validation study.
机译:在这项研究中,我们提出了一种使用手机来开发OD矩阵的方法 详细记录(CDR)和有限的流量计数。 CDR,由带时间戳的塔组成 首先分析具有呼叫者ID的位置,然后确定在特定时间范围内发生的旅行 用于生成不同时间段的塔到塔瞬态OD矩阵。这些是 与交通网络的相应节点关联并转换为节点到节点 瞬态OD矩阵。实际的OD矩阵是通过按比例放大这些节点到节点而得出的 瞬态OD矩阵。基于优化的方法,结合微观 交通模拟平台,用于确定与以下各项最匹配的比例因子 观察到的流量计数。使用287万个CDR演示了该方法 孟加拉国达卡的用户在一个月内的访问量,并在3天的时间里从13个主要位置获取了点击量 那个月。该方法的适用性得到了验证研究的支持。

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