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This paper proposes an innovative intelligent sorting system for express logistics by integrating Artificial Intelligence of Things (AIoT) and Autonomous Mobile Robots (AMRs). Two advanced strategies, Enhanced Sorting Strategy 1 (ESS1) and Enhanced Sorting Strategy 2 (ESS2), are developed to optimize package routing, collision avoidance, and real-time decision-making. A comprehensive simulation framework is established using MATLAB to evaluate system performance under diverse operational scenarios. Experimental results demonstrate that ESS2 achieves a sorting efficiency of 18,000 items/h with 92% accuracy, outperforming traditional cross-belt (14,000 items/h) and slider sorters (12,000 items/h). The proposed strategies reduce sorting time by 70–85% compared to conventional methods while maintaining operational costs 30% lower. This study provides a transformative solution for addressing efficiency bottlenecks in large-scale logistics hubs.

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Intelligent Sorting and Distribution Optimization Strategy of Express Logistics Driven by AIoT

  • 会议论文

  • 发表日期：

    2026年

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  • Mi Zhang,
  • Xuan Xu,
  • Yifan Huang,
  • Siyuan Ren

摘要

This paper proposes an innovative intelligent sorting system for express logistics by integrating Artificial Intelligence of Things (AIoT) and Autonomous Mobile Robots (AMRs). Two advanced strategies, Enhanced Sorting Strategy 1 (ESS1) and Enhanced Sorting Strategy 2 (ESS2), are developed to optimize package routing, collision avoidance, and real-time decision-making. A comprehensive simulation framework is established using MATLAB to evaluate system performance under diverse operational scenarios. Experimental results demonstrate that ESS2 achieves a sorting efficiency of 18,000 items/h with 92% accuracy, outperforming traditional cross-belt (14,000 items/h) and slider sorters (12,000 items/h). The proposed strategies reduce sorting time by 70–85% compared to conventional methods while maintaining operational costs 30% lower. This study provides a transformative solution for addressing efficiency bottlenecks in large-scale logistics hubs.