Although traffic assignment models remain heavily utilized globally for the planning and evaluation of new transport infrastructure, commonly applied assignment approaches continue to make very restrictive assumptions regarding determinism and perfect system knowledge to achieve regional scalability. Strategic user equilibrium (StrUE) has been previously proposed as a computationally scalable network assignment model which incorporates demand variability and expectation-minimizing traveler behavior. The proposed model extends the StrUE model to account for travel time penalties thereby enhancing the travel behavioral assumptions which are critical for reliability analyses. Under mild assumptions, we show that the path arrival time penalty is additive by link, allowing us to formulate traffic assignment as a convex program. Furthermore, we show that strategic user equilibrium results in expected link travel times that differ significantly from those predicted by user equilibrium. Finally, the expected arrival time penalties are shown to deviate non-uniformly by link, thereby having diverse impacts on traveler route choice.

中文翻译：

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战略用户平衡中的到达时间可靠性

尽管交通分配模型在全球仍被大量用于新运输基础设施的规划和评估，但通常采用的分配方法仍在关于确定性和完善的系统知识以实现区域可伸缩性方面做出非常严格的假设。先前已提出战略性用户均衡（StrUE）作为可计算扩展的网络分配模型，该模型结合了需求可变性和最小化旅行者行为的期望。所提出的模型扩展了StrUE模型，以解决旅行时间上的损失，从而增强了旅行行为假设，这对于可靠性分析至关重要。在温和的假设下，我们表明路径到达时间的惩罚是通过链路累加的，这使我们可以将交通分配公式化为凸规划。此外，我们表明，策略性用户平衡导致预期的链接旅行时间与用户平衡所预测的明显不同。最后，预期到达时间的惩罚因链路而不一致，从而对旅行者的路线选择产生了不同的影响。