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2020•Unpublished venueRequires access

Research on calibration method of interval velocity measurement system and uncertainty evaluation of measurement results

Jing Wu, Tianyu Feng

Open publisher page 1 citations

Abstract

With the widely application of the interval velocity measurement system, the accuracy of its measurement is more concerned by the society. Through the analysis of the interval velocity measurement system of vehicles, this paper presents a calibration method of the interval velocity measurement system with high precision clock system. Subsequently, the uncertainty analysis of the measurement results of the interval velocity measurement system is carried out. This uncertainty analysis method can provide technical support for better realization of intelligent transportation in cities.

About this research paper

What this paper is about

With the widely application of the interval velocity measurement system, the accuracy of its measurement is more concerned by the society. Through the analysis of the interval velocity measurement system of vehicles, this paper presents a calibration method of the interval velocity measurement system with high precision clock system. Subsequently, the uncertainty analysis of the measurement results of the interval velocity measurement system is carried out. This uncertainty analysis method can provide technical support for better realization of intelligent transportation in cities.

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OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

With the widely application of the interval velocity measurement system, the accuracy of its measurement is more concerned by the society. Through the analysis of the interval velocity measurement system of vehicles, this paper presents a calibration method of the interval velocity measurement system with high precision clock system. Subsequently, the uncertainty analysis of the measurement results of the interval velocity measurement system is carried out. This uncertainty analysis method can provide technical support for better realization of intelligent transportation in cities.

Key concepts: Measurement uncertainty, Interval (graph theory), Calibration, System of measurement, Realization (probability), Uncertainty analysis, Interval arithmetic, Observational error

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