期刊
IEEE ACCESS
卷 8, 期 -, 页码 839-846出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2019.2961701
关键词
Smart logistics; green logistics; vehicle routing problem; traffic flow
资金
- National Natural Science Foundation of China [71774036, 71872057, 71804084]
- Ministry of Education in China (MOE) Project of Humanities and Social Sciences [18YJC630245]
- Social Science Foundation of Heilongjiang Province [17GLH21, 18GLB023]
- Natural Science Foundation of Heilongjiang Province [QC2018088]
End distribution has always been an obstacle in logistics operations. This paper finds that intelligent logistics can have the functions of visualization, prediction, control and decision-making through the rational use of big data and artificial intelligence technologies. At the same time, this paper combines the sustainable development concept of green logistics to further study the green vehicle routing problem based on traffic flow. Intelligent logistics systems help control costs, improve energy efficiency, reduce carbon emissions, and improve customer satisfaction.
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