考虑驾驶员疲劳的车辆路径优化及算法研究

    Vehicle Routing Optimization and Its Algorithm Considering Driver Fatigue

    • 摘要: 针对城市物流中驾驶员面临的高强度工作环境,考虑配送过程中由疲劳引起的驾驶员配送能力的动态变化,以总配送时间最短为目标构建车辆路径优化模型。模型中引入基于疲劳程度的配送速度函数度量驾驶员配送能力的变化,随后结合广度优先与深度优先搜索策略设计一种改进人工蜂群算法求解该模型,最后通过标准测试集与仿真算例验证模型及算法的有效性。实验结果表明,考虑驾驶员疲劳的影响有助于提升驾驶员工作量的均衡性,降低驾驶员的疲劳程度。研究成果对于物流企业配送方案的制定具有重要的参考意义。

       

      Abstract: In urban logistics, drivers are facing a high-intensity work environment. In view of this, the dynamic changes of drivers’ ability to deliver caused by fatigue is considered in delivery processes, and a vehicle routing optimization model is established with the minimization of total delivery time as the objective. A delivery speed function based on fatigue degree is introduced into the model to quantify the change of drivers′ ability to deliver. Then, a modified artificial bee colony algorithm is designed to solve the model integrated with the breadth-first and depth-first search strategies. Finally, the effectiveness of the proposed model and algorithm is verified through standard testing sets and simulation experiments. Experimental results show that considering the impact of driver fatigue is helpful to maintain the balance of drivers′ workload and reduce the degree of driver fatigue. The results of this study may have an important reference significance for delivery planning of logistics enterprises.

       

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