Searched for: subject%3A%22stochastic%255C+traffic%255C+flow%255C+modelling%22
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Storm, Pieter Jacob (author), Mandjes, Michel (author), van Arem, B. (author)
This paper studies a Gaussian process approximation for a class of stochastic traffic flow models. It can be used to efficiently and accurately evaluate the joint (in the spatial and temporal sense) distribution of vehicle-density distributions in road traffic networks of arbitrary topology. The Gaussian approximation follows, via a scaling...
journal article 2022
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Calvert, S.C. (author), Taale, H. (author), Hoogendoorn, S.P. (author)
In this contribution the Core Probability Framework (CPF) is introduced with the application of the Discrete-Element Core Probability Model (DE-CPM) as a new DNL for dynamic macroscopic modelling of stochastic traffic flow. The model is demonstrated for validation in a test case and for computational efficiency on two simple networks. The CPF...
conference paper 2014