一种应用于资源受限车载GPS设备的在线轨迹压缩系统

2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) Pub Date : 2018-06-01 DOI:10.1109/SAHCN.2018.8397160

Yan Ding, Chao Chen, Xuefeng Xie, Kai Liu, Liang Feng

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引用次数: 1

摘要

GPS设备收集的原始车辆轨迹数据通常很大，需要在线压缩。然而，GPS设备资源有限，无法承担如此繁重的任务。为了缓解这一问题，我们设计了一个由轨迹映射、轨迹压缩和前端可视化器组成的在线轨迹压缩系统，并将其实现在手机上，以减轻计算负担。所提出的轨迹压缩方法在压缩过程中不需要额外的数据，适合在线应用。实验结果表明，该系统在有效性、高效性等方面具有优异的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An Online Trajectory Compression System Applied to Resource-Constrained GPS Devices in Vehicles

The raw vehicle trajectory data gathered by GPS devices is typically large and needs to be compressed online. However, GPS devices have limited resources, and cannot afford such burdensome task. To alleviate this issue, we design an online trajectory compression system consisting of Trajectory Mapping, Trajectory Compressing and Front-End Visualizer, which is implemented in the mobile phone to migrate the computation burdens. The proposed trajectory compression method does not need extra data during compressing suitable for online applications. Experiment results demonstrate our system has excellent performances regarding effectiveness, efficiency and so on.

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来源期刊

2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)

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