【摘要】 次优拥挤收费问题一般要考虑不同决策者的不同利益,因此,有必要考虑多个收费策略建立多目标模型来均衡不同决策者的利益.由于决策者常在信息不确定的情况下做决策,在出行需求不确定的条件下,为了确定次优拥挤收费的方案,建立了基于条件风险价值的随机多目标双层规划模型,上层规划的目标函数考虑了系统总阻抗和社会公平性,下层规划是UE用户均衡配流问题.利用基于随机模拟的遗传算法对模型进行求解,并通过数值算例对模型和算法进行分析,验证了模型的有效性.更多还原

【Abstract】 The second-best congestion pricing always involves a number of stakeholders with different needs,so it’s necessary to consider multi-objective.In addition,the decisionmaking process sometimes has to be made under uncertainty where certain inputs are not known exactly.In this paper,we consider demand uncertainty and develop a stochastic multi-objective bi-level model.We consider two objectives,namely,the total travel time and equity,and formulate conditional value-at-risk model.We solve this problem with a simulation-based genetic algorithm.A numerical example is also presented to illustrate the model and algorithm.更多还原