Vehicle routing problem is a NP problem. With the continuous in-depth study of VRP model and its solving methods, many branch problems with more constraints have been developed, and their solving methods have become more and more diverse. In order to further review the research status of VRP at home and abroad. This paper employs bibliometric methods and knowledge graph analysis to examine publishing institutions, authors, and research hotspots in vehicle routing optimization studies both domestically and internationally from 2008 to 2023, aiming to provide insights for the field of vehicle routing optimization in China. The main research content includes the use of CiteSpace visualization software to generate the keyword co-occurrence and clustering knowledge map of both domestic and international literature, as well as keyword burst detection maps, so as to interpret the research status in the field. The results show that in the field of vehicle routing optimization, the cooperation relationship between foreign institutions is closer than that of domestic institutions, and research hotspots differ significantly between domestic and foreign studies. Foreign scholars pay more attention to the combination of theory and practice, while domestic scholars focus more on deepening algorithm research. Meanwhile, the research processes at home and abroad show different characteristics. Cold chain logistics and urban transportation have become areas of focus for domestic scholars, who have begun to shift from traditional vehicle route optimization problems to in-depth studies of green transportation. Integrating big data analysis and artificial intelligence technologies into vehicle route optimization is a future research direction.
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