Automatic monitoring method for the rotation efficiency of the transmission of heavy duty vehicle

When the conventional logistics distribution demand forecasting method was used to forecast the multi-region logistics distribution demand, there was a lack of low analysis accuracy. Therefore, a multi-region logistics distribution demand forecasting method based on big data analysis was proposed. B...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2020-04, Vol.480 (1), p.12015
Main Author: Fang, Xiaofen
Format: Article
Language:English
Subjects:
Automatic transmissions
Big Data
Data analysis
Demand
Economic forecasting
Forecasting
Logistics
Mathematical models
Predictions
Citations: Items that this one cites
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Summary:When the conventional logistics distribution demand forecasting method was used to forecast the multi-region logistics distribution demand, there was a lack of low analysis accuracy. Therefore, a multi-region logistics distribution demand forecasting method based on big data analysis was proposed. Big data technology was introduced to build a multi-region logistics distribution demand forecasting framework and to build a multi-region logistics distribution model. Based on the determination of different demands of logistics distribution among regions, the model of demand forecasting was embedded to realize the prediction and analysis of multi-region logistics distribution demand. The experimental data showed that the big data prediction method proposed was 57.23% higher in accuracy than the conventional method, which was suitable for the prediction of logistics distribution demand in different regions and multiple regions.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/480/1/012015