In assignment models a key role is played by the path choice model, which computes the set of decisions made by the user before (and during) the routing on the network according to perceived paths and related costs. The path choice is a component of the assignment models.

This paper considers the effects of an interference term in addition to the effect of the traditional covariance term in the choice process. It shows how the quantum path choice models can be developed and applied by integrating an interference term into the probability computation. The interference term can be considered for perception of alternatives, during their generation, where the interference is significant; covariance can be taken into account when choosing alternatives, where the overlap represents a relevant aspect.

The path choice model, embedded inside the assignment procedure, is specified, calibrated, and validated using traffic counts in two real systems. The numerical results obtained in the analysed systems, in terms of reproduction of the counted flows, demonstrate that the new term can explain aspects that are not represented by consolidated random utility models. Results confirm the theoretical hypotheses stated in the paper.

在分配模型中，路径选择模型起着关键作用，它根据感知路径和相关成本计算用户在网络路由之前（和期间）做出的决策集。路径选择是分配模型的一个组成部分。

本文在选择过程中除了考虑传统协方差项的影响外，还考虑了干扰项的影响。它展示了如何通过将干扰项集成到概率计算中来开发和应用量子路径选择模型。干扰项可用于感知替代品，在其产生期间，干扰显着；在选择替代方案时可以考虑协方差，其中重叠代表相关方面。

路径选择模型嵌入分配程序中，使用两个实际系统中的流量计数来指定、校准和验证。在所分析的系统中获得的数值结果，就计数流量的再现而言，表明新术语可以解释综合随机效用模型未表示的方面。结果证实了论文中陈述的理论假设。