ScholarGate
助手
Process / pipelineMovement and trajectory data mining

GPS Trajectory Analysis

GPS trajectory analysis is the pipeline that turns raw streams of timestamped location fixes into structured, meaningful mobility information — the stops where a person dwells, the trips between them, the transport modes used, and the network routes actually travelled. Following the trajectory-data-mining framework synthesized by Yu Zheng in 2015, it cleans noisy positions, segments movement into stays and journeys, snaps points onto road or transit networks, and infers behaviour and recurrent patterns. It is the foundation for activity-space, travel-demand, and mobility studies built on smartphone and vehicle tracking data.

在 MethodMind 中打开即将推出应用、比较、获取指导
工具与资源
下载幻灯片
学习与探索
视频即将推出

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

方法图谱

相关方法的邻域——选择一个节点以展开探索。

来源

  1. Zheng, Y. (2015). Trajectory data mining: an overview. ACM Transactions on Intelligent Systems and Technology, 6(3), 1–41. DOI: 10.1145/2743025

如何引用本页

ScholarGate. (2026, June 22). GPS Trajectory Analysis (Trajectory Data Mining). ScholarGate. https://scholargate.app/zh/human-geography/gps-trajectory-analysis

选用哪种方法?

将本方法与其最相近的同类并置,并排研读——本馆将书籍铺陈于案上,取舍则由您定夺。

并排比较

被引用于

ScholarGateGPS Trajectory Analysis (GPS Trajectory Analysis (Trajectory Data Mining)). 于 2026-06-24 检索自 https://scholargate.app/zh/human-geography/gps-trajectory-analysis · 数据集: https://doi.org/10.5281/zenodo.20539026