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Congestion surplus minimization pricing solutions when Lagrange multipliers are not unique

机译:拉格朗日乘数不唯一时的拥塞剩余最小化定价解决方案

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This paper proposes a comprehensive solution methodology for the pricing difficulty when Lagrange multipliers are not unique. A linear optimization model is proposed to solve the congestion-related pricing difficulty. The objective function of the model is set to be minimizing the congestion surplus. In addition, an incentive-based allocation approach is incorporated in the solution procedure for cases when no marginal participant exists. The unique pricing solution obtained through our methodology can achieve proper reallocation of the undetermined surplus. Further, we discuss the reference bus independence property of the proposed pricing methodology. Numerical results are provided to fully test the proposed methodology. Other possible solutions are also presented for comparison.
机译:本文针对拉格朗日乘数不是唯一的情况下的定价困难,提出了一种全面的解决方案方法。提出了线性优化模型来解决与交通拥挤相关的定价难题。该模型的目标函数设置为最小化拥塞过剩。此外,对于不存在边际参与者的情况,在解决过程中会采用基于激励的分配方法。通过我们的方法获得的独特定价解决方案可以实现未确定盈余的适当重新分配。此外,我们讨论了所提出的定价方法的参考公交独立性。提供数值结果以全面测试所提出的方法。还提出了其他可能的解决方案以进行比较。

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