The Plackett-Luce model is widely used to deal with probabilities in discrete choice settings. This paper introduces a novel two-level Plackett-Luce model combined with a multinomial logistic scheme that provides the basis for the route choice module in a smart mobility platform. For this, we develop Bayesian inference and prediction mechanisms to capture consumers' preferences for personalized route recommendations. The model is empirically tested, allowing for refinements and discussion of its applicability. We also illustrate its practical relevance through several use cases, including relevant route selection, coordinated car pooling, incentive design and synthetic data generation.

翻译：Plackett-Luce模型被广泛用于处理离散选择场景中的概率问题。本文提出了一种新颖的两级Plackett-Luce模型，该模型与多项Logit方案相结合，为智能出行平台中的路径选择模块提供了基础。为此，我们开发了贝叶斯推理与预测机制，以捕捉消费者对个性化路径推荐的偏好。该模型经过实证检验，并对其适用性进行了优化与讨论。我们还通过多个用例展示了其实践价值，包括相关路径选择、协调拼车、激励机制设计以及合成数据生成。