Introducing the Core Probability Framework and Discrete-Element Core Probability Model for efficient stochastic macroscopic modelling

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...

Continuum modelling of multi-lane heterogeneous traffic flow operations

This report represents the second report in regarding macroscopic traffic flow modelling. In this report we present a multiple lane generalisation of the aggregate-lane multiple user-class model. Key to its derivation is the lane-specific multiple user-class phase-space density (MUCPSD), generalising the traditional spatial density by...