Application of interpolation method in data processing of dangerous cargo transportation in the Yangtze River

Lili Jiang; Minglu Ma; Guobo Wang

doi:10.1117/12.2613731

10 November 2021 Application of interpolation method in data processing of dangerous cargo transportation in the Yangtze River

Lili Jiang, Minglu Ma, Guobo Wang

Author Affiliations +

Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 120501P (2021) https://doi.org/10.1117/12.2613731
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China

Abstract

As the data about transportation of dangerous cargos on Yangtze River are incomplete, we constructed incomplete datasets for three types of data in the dangerous cargo transportation data on Yangtze River, i.e., the data of the number of ships registered for dangerous cargo transportation, the dangerous cargo carrying capacity, the dangerous cargo container carrying capacity, with a missing-data rate of 10% under the multi-variable missing-at-random mechanism. Then, we employed different interpolation methods to interpolate the missing data in the incomplete constructed datasets, comparing the performance of different interpolation methods by such indicators as the mean absolute error and the mean squared error. The research results revealed that the multiple interpolation (MI) method performed better than the expectation maximization interpolation (EM) and mean-value interpolation methods. The dataset obtained by multiple interpolation could well reflect the distribution pattern of the original data and the correlations between different types of data, which would be conducive to deep mining of data and optimization of the interpolation effect, providing a statistical basis for safety administration of dangerous cargo transportation on Yangtze River, facilitate design of precautionary measures against accidents and disasters, and improving the safety of waterborne transportation.

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Lili Jiang, Minglu Ma, and Guobo Wang "Application of interpolation method in data processing of dangerous cargo transportation in the Yangtze River", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 120501P (10 November 2021); https://doi.org/10.1117/12.2613731

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KEYWORDS

Statistical analysis

Data processing

Expectation maximization algorithms

Safety

Error analysis

Data modeling

Analytical research

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