Network theory has provided a new analytical tool for the study of human trajectory and has also achieved rapid development in the complex network field. Conventional network model or complex network model ignores some details and cannot display the most remarkable features for a GPS based personal trajectory. It is necessary to set up a new personal trajectory model. For the purpose of researching the characteristics of trajectory for one person in a long time, we collected a GPS based personal LifeLog dataset named Liu Lifelog in the past 9 years. This paper analyzed the Liu Lifelog and proposed a ring structure personal trajectory (RSPT) model based on the basic complex network model. We discussed the definition, source, characteristic and attribute of the RSPT model and tested the model with the dataset which was provided by the Geolife project and verified that the model described the characteristic of trajectory for a person well. The result shows that this model is feasible and it can predict the human behavior characteristics more accurately and effectively.

中文翻译：

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带环结构网络的个人轨迹：算法和实验

网络理论为人类轨迹研究提供了新的分析工具，在复杂网络领域也取得了快速发展。传统的网络模型或复杂的网络模型忽略了一些细节，无法显示基于 GPS 的个人轨迹最显着的特征。有必要建立一个新的个人轨迹模型。为了研究一个人在很长一段时间内的轨迹特征，我们收集了一个基于 GPS 的个人 LifeLog 数据集，名为 Liu Lifelog 近 9 年。本文分析了Liu Lifelog，提出了一种基于基本复杂网络模型的环结构个人轨迹（RSPT）模型。我们讨论了定义、来源、RSPT 模型的特征和属性，并用 Geolife 项目提供的数据集对模型进行了测试，验证了该模型很好地描述了一个人的轨迹特征。结果表明，该模型是可行的，能够更准确有效地预测人类行为特征。