考虑车祸干扰因子的物流车辆调度模型仿真

Simulation of Logistics Vehicle Scheduling Model Considering Traffic Accident Interference Factors

研究物流车辆的高效调度问题。随着物流运输网络复杂程度的不断增加,运输车辆会遇到车祸、拥堵等干扰,这种情况随机发生,无法预测,传统的车辆调度模型缺少对这种干扰风险的分析,无法建立较为准确的调度模型,造成调度车辆遇到车祸时,调度效率大幅降低。为了避免上述缺陷,提出了一种考虑车祸干扰风险因子的物流车辆调度模型。建立灰色预测模型,对物流车辆运输过程中的运输量进行有效的预测,从而判断是否有车祸发生,为物流车辆调度提供依据。建立物流路径干扰风险约束模型,将物流车辆运输相关干扰数据输入到上述模型中,从而实现物流车辆准确调度。实验结果表明,改进的模型能够提高服务的效率,从而满足实际物流产业的需求。

This paper put forward a logistics vehicle scheduling model by considering the interference risk factors of traffic accident. Firstly, a grey forecasting model was established and the traffic volume of logistics vehicles in the process of transportation was predicted effectively. It was used to determine whether there is an accident and provide the basis for the logistics vehicle scheduling. Then, the interference risk constraint model of logistics path was estab lished, and the related interference data of logistics vehicle transportation was input into the model, so as to realize the accurate logistics vehicle scheduling. The experimental results show that the algorithm for the logistics vehicle scheduling, can improve the efficiency of the service, so as to meet the needs of practical logistics industry.