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Public Transit Transfer Recognition Method Based on Vehicle GPS and Smart Card Data

机译：基于车辆gps和智能卡数据的公交识别方法

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摘要

In order to obtain the information of passengers' public transit transfer behavior, by refining the time-space evolution of public transit transfer process, and utilizing vehicle GPS data and smart card data fusion techniques, this paper calculates the boarding time and alighting time of passengers. Then, principles including transfer distance threshold, transfer time threshold, and bus arriving time matching are used to identify public transit transfer behavior with the method of layers screening. Compared with existing methods, transfer recognition by the above-mentioned method takes more factors into consideration and is more accurate. Finally, four continuous public transit travel records of an actual passenger from Foshan are selected as an example to verify the practicality and efficiency of the method. Results show that the above algorithms can effectively recognize public transit transfer behaviors including transfer inside one station and transfer between different stations. The recognition method can provide data support for planning and management of public transit network, hub location, and public transportation system efficiency improvement.
机译：为了获取乘客的公交行为信息，通过细化公交过程的时空演变，并利用车辆GPS数据和智能卡数据融合技术，计算出乘客的上车时间和下车时间。然后，通过分层筛选的方法，利用公交距离阈值，公交时间阈值和公交到达时间匹配等原理来识别公交的公交行为。与现有方法相比，上述方法的转移识别考虑了更多因素，并且更加准确。最后，以佛山某实际旅客的四次连续公交出行记录为例，验证了该方法的实用性和有效性。结果表明，以上算法可以有效识别公交站点的转移行为，包括一个站点内的站点转移和不同站点之间的站点转移。该识别方法可以为公共交通网络的规划和管理，枢纽位置以及公共交通系统效率的提高提供数据支持。

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