Neo4j在物流配送中的路线规划应用
Route Planning Application of Neo4j in Logistics Distribution
DOI: 10.12677/sea.2024.133041, PDF,   
作者: 柴新鹏:河南能源人力资源发展集团有限公司,河南 郑州
关键词: Neo4j物流配送路线规划图数据库图算法Neo4j Logistics Distribution Route Planning Graph Database Graph Algorithm
摘要: 随着物流行业的迅速发展,如何实现高效的路线规划已成为业界的关注焦点。传统的路线规划方法受限于数据处理能力和算法效率,难以满足复杂多变的物流需求。作为一种图数据库,Neo4j以其强大的关系处理能力和高效的查询性能,为物流行业的路线规划提供了全新的解决方案。本研究旨在介绍Neo4j作为图数据库的优势,并深入探讨其在物流行业路线规划中的应用。通过数据建模、路线规划算法和用户查询等步骤,Neo4j能够实现快速、准确和灵活的物流配送路线规划。最后,论文讨论了Neo4j的优势和局限性,并对未来的发展方向进行了展望。
Abstract: With the rapid development of logistics industry, how to achieve efficient route planning has become the focus of the industry. The traditional route planning method is limited by data processing ability and algorithm efficiency, which is difficult to meet the complex and changeable logistics needs. As a graph database, Neo4j provides a new solution for the route planning of the logistics industry with its powerful relationship processing ability and efficient query performance. The purpose of this study is to introduce the advantages of Neo4j as a graph database, and explore its application in logistics industry route planning. Through the steps of data modeling, route planning algorithm and user query, Neo4j can realize fast, accurate, and flexible logistics distribution route planning. Finally, the paper discusses the advantages and limitations of Neo4j, and looks forward to the future development direction.
文章引用:柴新鹏. Neo4j在物流配送中的路线规划应用[J]. 软件工程与应用, 2024, 13(3): 398-405. https://doi.org/10.12677/sea.2024.133041

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