| 交通管控与应急物流配送协同优化 |
| Integrated Optimization of Traffic Control and Emergency Logistics Distribution |
| 摘要点击 114 全文点击 0 投稿时间：2025-10-02 修订日期：2026-05-16 |
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| 中文关键词 应急物资配送; 交通管控; 变邻域搜索算法 |
| 英文关键词 Emergency Supply Distribution; Traffic Control; Variable Neighborhood Search Algorithm |
| 基金项目 国家社会科学基金重点资助项目（23ATQ007）；国家自然科学基金资助项目（62402451、72001098）；河南省科技攻关资助项目（252102210116、252102210098） |
| 投稿方向 交通与物流系统 |
| 作者 | 单位 | 邮编 | | 史晓东* | 河南财经政法大学数据科学与电子商务学院 | 450046 | | 卢艺杰 | 河南财经政法大学数据科学与电子商务学院 | | | 崔春生 | 河南财经政法大学数据科学与电子商务学院 | | | 朱宸良 | 河南财经政法大学数据科学与电子商务学院 | | | 谭春辉 | 华中师范大学信息管理学院 | |
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| 中文摘要 |
| 突发事件常引发交通管控，管控点设置造成车辆绕行及排队延迟，显著影响应急物流配送效率。本文研究车辆路径与管控点配置协同优化问题，构建了包含管控成本为目标的混合整数规划模型，针对复杂优化过程，提出基于正交实验设计并行变邻域搜索算法（PVNS-OED）。实验结果表明:1)对于大规模问题，PVNS-OED相较于经典变邻域搜索算法平均节约成本45.24%，计算效率最高提升4.5倍。2)管控点数量与系统总成本呈非线性关系，合理协同优化可显著降低总成本。3）所提最优管控点数量近似估算能有效指导管控决策。研究结果为应急物流管理中统筹“安全”与“效率”目标提供了重要的理论依据与决策支持。 |
| 英文摘要 |
| This study investigates the collaborative optimization of vehicle routing and traffic checkpoint configuration in emergency logistics under traffic control, where checkpoints induce detours and queuing delays. A mixed-integer programming model is developed with checkpoint control cost incorporated into the objective function. To solve this complex problem, a parallel variable neighborhood search algorithm based on orthogonal experimental design is proposed. Experimental results show that: 1) for large-scale instances, the proposed PVNS-OED algorithm reduces the average cost by 45.24% compared with the classical variable neighborhood search algorithm and improves computational efficiency by up to 4.5 times; 2) the number of checkpoints has a nonlinear effect on the total system cost, and proper collaborative optimization significantly reduces the overall cost; 3) the proposed approximation for the optimal number of checkpoints effectively supports checkpoint configuration decisions in emergency logistics management. |
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