ABSTRACT This research presents the data collection, specification and estimation of a route choice model for intercity truck trips, with a focus on toll road usage. The data was obtained from driver-validated and enhanced GPS records. A mixed logit model with a path-size factor is specified. It accounts for heterogeneity among drivers using distributed coefficients for travel time and its variability. The estimation results show wide heterogeneity among drivers based on employment type and availability of electronic toll collection tags. Toll value of time and toll value of reliability distributions are derived. The model application is demonstrated on several trip corridors.

中文翻译：

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城际卡车路线选择结合使用增强型 GPS 数据的收费公路替代方案

摘要 本研究介绍了城际卡车旅行路线选择模型的数据收集、规范和估计，重点是收费公路的使用。这些数据是从经过驾驶员验证和增强的 GPS 记录中获得的。指定了具有路径大小因子的混合 logit 模型。它使用旅行时间及其可变性的分布系数来解释司机之间的异质性。根据就业类型和电子收费标签的可用性，估计结果显示司机之间存在很大的异质性。推导出时间的通行值和可靠性分布的通行值。该模型应用程序在几个旅行走廊上进行了演示。