仅仅一个gps位置就足以准确地将你定位到道路网络上吗?

Hao-qing Wu, Weiwei Sun, Baihua Zheng
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引用次数: 13

摘要

对于许多基于位置的服务(如移动出租车服务、地理标记、POI签到等)来说,准确地定位一个GPS位置是至关重要的。这个问题具有挑战性,因为包括GPS错误和数字地图错误(不对齐和双向道路的相同表示)以及缺乏上下文信息。据我们所知,目前还没有直接研究这一问题的工作,从硬件方面考虑如何减小GPS信号误差是最相关的。因此,这项工作是第一次尝试解决将一个GPS位置定位到一个路段的问题。我们从数据驱动的角度研究这个问题,通过提出一个易于处理、高效和鲁棒的生成模型,使这个过程无处不在。此外,我们将我们的解决方案扩展到实际应用场景,即打车服务,并提出了一种考虑目的地信息进一步提高结果准确性的方法。我们使用真实的出租车GPS数据来评估我们的方法。结果表明,在保持鲁棒性的同时,我们的方法明显优于现有的所有方法,在某些情况下可以达到高达90%的准确率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Is only one gps position sufficient to locate you to the road network accurately?
Locating only one GPS position to a road segment accurately is crucial to many location-based services such as mobile taxi-hailing service, geo-tagging, POI check-in, etc. This problem is challenging because of errors including the GPS errors and the digital map errors (misalignment and the same representation of bidirectional roads) and a lack of context information. To the best of our knowledge, no existing work studies this problem directly and the work to reduce GPS signal errors by considering hardware aspect is the most relevant. Consequently, this work is the first attempt to solve the problem of locating one GPS position to a road segment. We study the problem in a data-driven view to make this process ubiquitous by proposing a tractable, efficient and robust generative model. In addition, we extend our solution to the real application scenario, i.e., taxi-hailing service, and propose an approach to further improve the result accuracy by considering destination information. We use the real taxi GPS data to evaluate our approach. The results show that our approach outperforms all the existing approaches significantly while maintaining robustness, and it can achieve an accuracy as high as 90% in some situations.
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