In this work, an approach has been developed to analyze data on the movement of a vehicle obtained as a result of measurements carried out using a satellite navigation system. The issues of increasing the accuracy of such measurements are of great importance in quality monitoring of road maintenance for geo-referencing of detected roadway defects. When using the proposed approach, the speed of a vehicle is considered as a stationary random process, the correlation function of which belongs to one of the specified classes. Based on the monitoring results, the value of the correlation function parameter is selected, which, in a certain sense, best matches the measurement results. The problem is also solved in a certain sense of the optimal choice of the duration of the averaging interval of the velocity values obtained as a result of monitoring, while taking into account how much, for the selected duration of the averaging interval, the sample obtained correlation function of the velocity corresponds to the correlation function from the hypothetical class for the selected parameter value.
In this work, an approach has been developed to analyze data on the movement of a vehicle obtained as a result of measurements carried out using a satellite navigation system. The issues of increasing the accuracy of such measurements are of great importance in quality monitoring of road maintenance for geo-referencing of detected roadway defects. When using the proposed approach, the speed of a vehicle is considered as a stationary random process, the correlation function of which belongs to one of the specified classes. Based on the monitoring results, the value of the correlation function parameter is selected, which, in a certain sense, best matches the measurement results. The problem is also solved in a certain sense of the optimal choice of the duration of the averaging interval of the velocity values obtained as a result of monitoring, while taking into account how much, for the selected duration of the averaging interval, the sample obtained correlation function of the velocity corresponds to the correlation function from the hypothetical class for the selected parameter value.
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