Research on the high-accuracy mileage statistics method based on the civil satellite data
Research on the high-accuracy mileage statistics method based on the civil satellite data
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基于民用卫星数据的高精度里程统计方法研究
DOI：
10.1177/1550147719852029
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发表时间：
2019-05
影响因子：
2.3
通讯作者：
Zhang Xilong
中科院分区：
文献类型：
--
作者：
Liu Zunmin;Yi Chuijie;Liu Zhihong;Zhang Xilong
针对目前民用卫星定位数据误差较大，导致里程统计方法计算的里程小于实际里程的情况，提出了一种新的里程统计方法。首先对原始轨迹数据进行预处理，消除数据误差;其次，基于形状逼近原理，通过比较各种曲线拟合方法，优选实现二次B样条曲线精确拟合里程轨迹曲线。然后，基于轨迹曲线控制点数据，推导出里程统计公式，实现了非精密卫星定位信号的精确里程统计方法。最后利用光电非接触五轮仪和GPS设备进行了道路试验。分别采用曲线拟合法和曲线拟合法生成对比曲线和计算里程。以光电五轮数据作为准确里程，进行误差分析。结果表明，计算值与实际里程值之间的偏差小于1%。因此，该方法能够满足用户对车队管理的要求。
For the current situation of the large error in civil satellite positioning data resulting in the calculation of smaller mileage by the polyline method than the actual mileage, a new method of mileage statistics has been proposed in this article. First, the original trajectory data are preprocessed to eliminate data errors. Second, based on the principle of shape approximation, it is preferred to implement the quadratic B-spline curve to accurately fit the mileage trajectory curve, comparing various curve fitting methods. Then, based on the trajectory curve control point data, the mileage statistics formula is derived, and the accurate mileage statistics method for non-precision satellite positioning signals is realized. Finally, the road test is carried out by using the photoelectric non-contact five-wheel instrument and GPS equipment. The polyline method and curve fitting method are used to generate contrastive curve and calculate the mileage, respectively. Taking photoelectric five-wheel data as the accurate mileage, the error analysis is carried out. The results show that the deviation between calculated and actual mileage values is less than 1%. Therefore, this method can meet the user’s requirements for fleet management.
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影响因子：
10.4
作者：
Daming Zhou;T. Nguyen;E. Breaz;Dongdong Zhao;S. Clénet;Fei Gao
通讯作者：
Daming Zhou;T. Nguyen;E. Breaz;Dongdong Zhao;S. Clénet;Fei Gao
DOI：
10.1016/j.trc.2015.02.011
发表时间：
2015-09
期刊：
--
影响因子：
--
作者：
A. Patire;Matthew A. Wright;Boris Prodhomme;A. Bayen
通讯作者：
A. Patire;Matthew A. Wright;Boris Prodhomme;A. Bayen
DOI：
--
发表时间：
2009
期刊：
Journal of the University of Electronic Science and Technology of China
影响因子：
--
作者：
Zheng Rui
通讯作者：
Zheng Rui
DOI：
10.1016/s1570-6672(13)60092-6
发表时间：
2013-02
期刊：
Journal of Transportation Systems Engineering and Information Technology
影响因子：
--
作者：
Honglian Li;Hong Fang;Ju Tang;Jun Zhang
通讯作者：
Honglian Li;Hong Fang;Ju Tang;Jun Zhang
影响因子：
9.2
作者：
Daming Zhou;A. Al‐Durra;Ke Zhang;A. Ravey;Fei Gao
通讯作者：
Daming Zhou;A. Al‐Durra;Ke Zhang;A. Ravey;Fei Gao