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应急救援下,需求的不确定性和交通网络及流量的不稳定性增加了应急决策的难度,救援效果也无法有效控制.考虑模糊需求下应急物资的需求分配与网络配流问题,文章建立了以最小总配送时间为目标的网络流模型.应用基于双边约束的重力模型算法和凸组合算法,通过需求分配和网络流分配结果的交互迭代,得出最小总配送时间下的最优需求分配、路径和网络流.最后,通过算例验证了算法的有效性并对比了不同需求分配机制对救援决策效果的影响,结果表明基于距离阻抗的需求分配机制比基于时间阻抗的分配机制得到的最优解更稳定.
Under the emergency rescue, the uncertainty of demand and the instability of traffic network and traffic increase the difficulty of emergency decision-making and the rescue effect can not be effectively controlled.According to the demand distribution and network allocation of emergency supplies under fuzzy demand, The minimum total delivery time is the target of the network flow model.Applying the gravity model algorithm and the convex combination algorithm based on bilateral constraints, the optimal distribution of demand under the minimum total delivery time is obtained through the interaction iteration of demand distribution and network flow distribution, Finally, an example is given to verify the effectiveness of the algorithm and to compare the impact of different demand allocation mechanisms on the rescue decision-making effect. The results show that the demand-allocation mechanism based on distance impedance is better than the optimal solution obtained by the time-impedance-based allocation mechanism more stable.