首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Application of graph theory in transportation linkage in logistics management and its computer aided model design
【24h】

Application of graph theory in transportation linkage in logistics management and its computer aided model design

机译:图论在物流管理运输联系中的应用及计算机辅助模型设计

获取原文
获取原文并翻译 | 示例
           

摘要

Path planning is an important part of logistics management and an important part of intelligent transportation system. The shortest path problem in graph theory is the theoretical basis of path planning. On this basis, this paper studies the application of graph theory in logistics management and transportation linkage and its computer-aided model design. In order to give full play to the advantages of the optimized road network model, this paper adopts the matching path planning algorithm and control strategy. The optimized road network model puts forward a partition method based on data quantity and connectivity principle and realizes the equalization of partition data quantity. Compared with the general road network model, the established road network partition is more reasonable and more in line with the actual requirements of the path planning algorithm. Through the research in this paper, it provides a reasonable and effective solution for practical application, which is innovative and practical.
机译:路径规划是物流管理的重要组成部分,以及智能交通系统的重要组成部分。图表理论中最短的路径问题是路径规划的理论基础。在此基础上,本文研究了图形理论在物流管理和运输联动及其计算机辅助模型设计中的应用。为了充分发挥优化道路网络模型的优势,本文采用匹配路径规划算法和控制策略。优化的道路网络模型基于数据量和连接原理提出了一种分区方法,实现了分区数据量的均衡。与通用道路网络模型相比,既定的道路网络分区更合理,更符合路径规划算法的实际要求。通过本文的研究,它为实际应用提供了合理有效的解决方案,这是创新和实用的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号