ABSTRACT Conventional space–time prisms (STPs) represent deterministic travel times but ignore the stochastic nature of travel speeds. To this extent, reliable STPs were developed to take the effect of time uncertainty into account. Although empirical studies showed that link travel times are correlated in the urban road networks and obey non-normal distributions, existing reliable prisms assume that travel times follow normal distribution and are spatially independent. This way, the aim of this paper is to extend the concept of reliable STP to non-normally distributed and spatially correlated networks. In doing so, a method is elaborated for computing such a prism, and several cases are carried out to show applicability of the proposed model. Outputs depicted different prism size in the correlated and independent networks, and ability of the model for representing spatial extent of an individual considering various on-time arrival probability preferences.

中文翻译：

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空间相关旅行时间下随机道路网络中的可靠时空棱镜

摘要 传统的时空棱镜 (STP) 代表确定性旅行时间，但忽略了旅行速度的随机性。为此，开发了可靠的 STP 以考虑时间不确定性的影响。尽管实证研究表明，城市道路网络中的链路旅行时间是相关的并且服从非正态分布，但现有的可靠棱镜假设旅行时间服从正态分布并且在空间上是独立的。这样，本文的目的是将可靠 STP 的概念扩展到非正态分布和空间相关的网络。在此过程中，详细阐述了一种计算这种棱镜的方法，并进行了几种情况以显示所提出模型的适用性。输出描述了相关和独立网络中不同棱镜大小，