旅行时间估计中GPS采样率的分析

S. Panichpapiboon, W. Pattara-Atikom
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引用次数: 2

摘要

随着车载自组织网络的出现,在不久的将来,道路上的车辆很有可能被用作移动探测器,用于收集和分发行驶时间等交通信息。一般情况下,通过移动探头采集的全球定位数据,可以估算出某一路段的行驶时间。定位数据采集或采样频率越高,行程时间估计越准确。然而,准确性是以保存数据的大存储空间为代价的。此外,在某些系统中,移动探测器需要将其定位数据实时发送到服务器或其他车辆,使用过高的采样率可能会不必要地浪费无线电信道带宽,因为将传输过多的数据。在本文中,我们确定了所需的最小收集率的定位数据,以达到所需的旅行时间估计精度水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An analysis of GPS sampling rates required in travel time estimation
With an emergence of vehicular ad hoc networks, it is highly likely that in the near future vehicles on the road will be used as mobile probes for collecting and distributing traffic information such as the travel time. Generally, the travel time on a road section can be estimated from the global positioning data collected by a mobile probe. The more frequent the positioning data are collected or sampled, the more accurate the travel time estimation is. However, the accuracy comes at the expense of a large storage space for keeping the data. In addition, in some systems where a mobile probe needs to send its positioning data to a server or other vehicles in real-time, using an overly high sampling rate can waste the radio channel bandwidth unnecessarily since excessive amount of data will be transmitted. In this paper, we determine the minimum collection rate of positioning data required to achieve the desired level of travel time estimation accuracy.
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