Bounded acceleration capacity drop in a Lagrangian formulation of the kinematic wave model with vehicle characteristics and unconstrained overtaking

In this contribution a model-based analysis of the application of bounded acceleration in traffic flow is considered as a cause for the capacity drop. This is performed in a Lagrangian formulation of the kinematic wave model with general vehicle specific characteristics. Unconstrained overtaking is presumed, which allows a demonstration to be...

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...

Core Probability Model : Efficient macroscopic sensitivity modelling: Conceptual design

Probability in traffic: A challenge for modelling

In the past decade an increase in research regarding stochasticity and probability in traffic modelling has occurred. The realisation has grown that simple presumptions and basic stochastic elements are insufficient to give accurate modelling results in many cases. This paper puts forward a strong argument for the further development and...