Research Article
Design of Agricultural Products Intelligent Transportation Logistics Freight Forecasting System Based on Large Data Analysis
@INPROCEEDINGS{10.1007/978-3-030-36405-2_39, author={Xiao-yan Ai and Yong-heng Zhang}, title={Design of Agricultural Products Intelligent Transportation Logistics Freight Forecasting System Based on Large Data Analysis}, proceedings={Advanced Hybrid Information Processing. Third EAI International Conference, ADHIP 2019, Nanjing, China, September 21--22, 2019, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2019}, month={11}, keywords={Big data analysis Transport of agricultural products Intelligent transportation Logistics cargo flow Cargo flow forecasting Prediction system}, doi={10.1007/978-3-030-36405-2_39} }- Xiao-yan Ai
Yong-heng Zhang
Year: 2019
Design of Agricultural Products Intelligent Transportation Logistics Freight Forecasting System Based on Large Data Analysis
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-36405-2_39
Abstract
The traditional forecasting system of agricultural products transportation logistics cargo flow relies too much on people’s subjective experience in forecasting, and the forecasting results are not accurate enough. To solve this problem, based on the large data analysis, a new forecasting system of agricultural products transportation logistics cargo flow is studied. The hardware and software parts of the system are designed, the hardware of the system consists of five parts: data collector, data analyzer, matcher, processor and tracer. The internal composition of each construction is described accurately. The working process of software is information input, information analysis, information matching, information processing and information tracking. The software workflow diagram is given. The results of the system are validated by comparing with the traditional cargo volume prediction system. The experimental results show that the system has high intelligence and can accurately predict the volume of goods transported in a short time. It has important guiding significance for the development of agricultural products transportation.
