标题： 物理互联网中货物的动态方向路由 显示英文标题

标题： Dynamic Directional Routing of Freight in the Physical Internet

摘要： 实物互联网（PI）设想了一个受数字互联网启发的互联互通、模块化且动态管理的物流系统。 它实现了开放访问网络，其中货物通过一个高度互联的枢纽系统传递，并根据实时条件调整路线。 可扩展和自适应货运运输中的一个关键挑战是路由确定货物如何在网络中导航以平衡服务水平、整合和适应性。 本文介绍了一种方向路由方法，这是一种动态方法，能够灵活调整货物路径，使用实时物流数据优化效率和整合。 与遵循固定路线的最短路径路由不同，方向路由基于网络条件、整合机会和服务水平约束，动态选择可行的下一跳枢纽。 该方法包括两个阶段：区域发现，识别候选枢纽；节点选择，根据实时参数确定下一个枢纽。 本文通过引入一种减少搜索空间的广度优先搜索（RSS-BFS）方法来推进区域发现阶段，系统地识别可行的路由区域，同时平衡服务水平和整合。 所提出的方法增强了基于PI的物流网络的流动性、可扩展性和适应性，推动了自主和可持续的货运运输。 显示英文摘要

摘要： The Physical Internet (PI) envisions an interconnected, modular, and dynamically managed logistics system inspired by the Digital Internet. It enables open-access networks where shipments traverse a hyperconnected system of hubs, adjusting routes based on real-time conditions. A key challenge in scalable and adaptive freight movement is routing determining how shipments navigate the network to balance service levels, consolidation, and adaptability. This paper introduces directional routing, a dynamic approach that flexibly adjusts shipment paths, optimizing efficiency and consolidation using real-time logistics data. Unlike shortest-path routing, which follows fixed routes, directional routing dynamically selects feasible next-hop hubs based on network conditions, consolidation opportunities, and service level constraints. It consists of two phases: area discovery, which identifies candidate hubs, and node selection, which determines the next hub based on real-time parameters. This paper advances the area discovery phase by introducing a Reduced Search Space Breadth-First Search (RSS-BFS) method to systematically identify feasible routing areas while balancing service levels and consolidation. The proposed approach enhances network fluidity, scalability, and adaptability in PI-based logistics, advancing autonomous and sustainable freight movement.