人工智能下危险品运输路线优化中的Floyd算法研究

Xinke Du
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引用次数: 0

摘要

随着全球经济的快速发展,化学工业已成为国民经济收入的主要来源。危险品作为化工产品的重要组成部分,已成为社会关注的热点。本文主要研究在考虑人工智能的情况下,危险品道路运输使用相关算法进行路线优化分析。通过实例分析,采用层次分析法确定了指标体系和权重,然后介绍了Floyd算法在危险品道路运输最优路线选择中的应用。本文通过对R公司的个案分析,为其他大多数危险品道路运输公司提供参考。它促进了整个运输环节风险的降低,提高了安全性和运输效率,实现了更多的安全和经济目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Floyd Algorithm in Route Optimization of Dangerous Goods Transportation under Artificial Intelligence
With the rapid development of global economy, chemical industry has become the main source of national economic income. As an essential part of chemical industrial products, dangerous goods have become a hot topic for the public. This article mainly focuses on the use of related algorithms for route optimization analysis under the consideration of artificial intelligence for the road transportation of dangerous goods. Through case analysis, the analytic hierarchy process is used to determine the index system and weight, and then the application of Floyd algorithm in choosing the optimal route of dangerous goods road transportation is introduced. Through the analysis of individual cases of R company, this paper provides a reference for most other companies in road transportation of dangerous goods. It promotes the reduction of risks in the entire transportation link, improves safety and transportation efficiency, and achieves more safety and economic goals.
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