微分割:基于GPS应用的精确距离计算方法

A. Biswas, Goutham Pilla, B. R. Tamma
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引用次数: 12

摘要

两个地理点之间的道路距离计算是各种基于全球定位系统(GPS)的智能交通系统(ITS)应用的一个组成部分。我们发现,仅仅计算两个地理点之间的距离,而不重视道路的地理信息,如曲线,会导致计算距离的估计不足,我们称之为“位移问题”。在本文中,我们提出了微分割的方法来克服位移问题。为了验证所提出的方法并量化现有距离计算技术的改进,我们使用来自印度海德拉巴和美国芝加哥等城市的真实GPS轨迹进行了实验。实验结果表明,与现有的距离估计技术相比,该方法在距离估计方面有了显著的改进。这种改进的意义可以通过以下事实直观地体现出来:理论上,距离计算的这种改进可以提高旅行时间预测,这是一个重要的ITS应用,每对走线之间平均提高22秒(大约)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microsegmenting: An approach for precise distance calculation for GPS based its applications
Onroad distance calculation between two geographical points is an integral part of various Global Positioning System (GPS) based Intelligent Transportation Systems (ITS) applications. We have found that mere calculating the distance between two geographical points without giving importance to geographical information of the road, such as curves can lead to under estimation of the distance calculated, cause of which we refer to as the “ Displacement problem “. In this paper, we propose the methodology of Microsegmenting to overcome the Displacement Problem. To validate the proposed method and to quantify improvement over the existing technique of distance calculation we conduct experiments using real-world GPS traces from cities: Hyderabad, India and Chicago, USA. The experimental results show a significant improvement in distance estimation over existing technique. The significance of the improvement can be visualized by the fact that, theoretically this improvement in distance calculation can improve the travel time prediction, an important ITS applications, by an average of 22 seconds (approx.) between each pair of traces.
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