Updating origin-destination matrices with aggregated data of GPS traces
Updating origin-destination matrices with aggregated data of GPS traces
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DOI：
10.1016/j.trc.2016.06.002
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发表时间：
2016-08-01
影响因子：
8.3
通讯作者：
Fukuda, Daisuke
中科院分区：
文献类型：
--
作者：
Ge, Qian;Fukuda, Daisuke
估算起讫点需求的做法通常需要进行大规模的旅行调查。为了减少花费在调查上的成本和时间，从移动的设备获得的个人轨迹数据自过去二十年以来一直被用作OD估计的替代数据集，但在一些国家的实践中也受到限制。为了在保护隐私的同时估计OD矩阵，本研究使用移动的电话跟踪的汇总数据来估计与工作相关的行程。该方法是一种基于最大熵原理的顺序更新器。首先通过非线性规划问题计算出行产生量和吸引量，然后通过矩阵拟合问题将出行分配到每个OD对。数值研究表明，修正值比参考值更接近合成的真实的值。东京的案例研究进一步表明，所提出的更新方法可以跟踪出行模式的变化。(C)2016由Elsevier Ltd.出版
The practice of estimating origin-destination (OD) demand usually requires large-scale travel surveys. To reduce the cost and time spent on surveys, individual trajectory data obtained from mobile devices has been used as an alternative dataset since the last two decades for OD estimation but also constrained in practice in some countries. To estimate OD matrices while protecting privacy, this study uses aggregated data of mobile phone traces to estimate work-related trips. The proposed approach is a sequential updater based on the maximum entropy principle. Trip production and attraction are firstly calculated by a non-linear programming problem followed by a matrix fitting problem to distribute trips to each OD pair. Numerical study shows that updated values are much closer to the synthesize real values than the referred ones. The case study in Tokyo further demonstrates that the proposed updating approach can track the change of travel pattern. (C) 2016 Published by Elsevier Ltd.