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Network Spot-Checking Games: Theory and Application to Toll Enforcing in Transportation Networks

机译:网络抽查游戏:交通网络收费实施的理论与应用

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摘要

We introduce the class of spot-checking games (SC games). These games model problems where the goal is to distribute fare inspectors over a toll network. In an SC game, the pure strategies of network users correspond to paths in a graph, and the pure strategies of the inspectors are subset of arcs to be controlled. Although SC games are not zero-sum, we show that a Nash equilibrium can be computed by linear programming. The computation of a strong Stackelberg equilibrium (SSE) is more relevant for this problem and we give a mixed integer programming (MIP) formulation for this problem. We show that the computation of such an equilibrium is NP-hard. More generally, we prove that it is NP-hard to compute a SSE in a polymatrix game, even if the game is pairwise zero-sum. Then, we give some bounds on the price of spite, which measures how the payoff of the inspector degrades when committing to a Nash equilibrium. Finally, we report computational experiments on instances constructed from real data, for an application to the enforcement of a truck toll in Germany. These numerical results show the efficiency of the proposed methods, as well as the quality of the bounds derived in this article.
机译:我们介绍了现场检查游戏(SC游戏)的类别。这些游戏将问题建模为目标,目的是通过收费网络分配票价检查员。在SC游戏中,网络用户的纯策略对应于图中的路径,检查员的纯策略是要控制的弧的子集。尽管SC博弈不是零和,但我们证明可以通过线性规划来计算纳什均衡。强Stackelberg平衡(SSE)的计算与该问题更相关,我们针对此问题给出了混合整数规划(MIP)公式。我们证明了这种平衡的计算是NP难的。更笼统地说,我们证明即使是成对的零和游戏,也很难在多矩阵游戏中计算SSE。然后,我们对恶意价格进行界定,以衡量检查员在承诺达到纳什均衡时的收益如何降低。最后,我们报告了根据实际数据构建的实例的计算实验,用于在德国实施卡车通行费的应用。这些数值结果表明了所提出方法的效率以及本文得出的边界的质量。

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