Incident indicators for freeway traffic flow models

Developed in this paper is a traffic flow model parametrised to describe abnormal traffic behaviour. In large traffic networks, the immediate detection and categorisation of traffic incidents/accidents is of capital importance to avoid breakdowns, further accidents. First, this claims for traffic flow models capable to capture abnormal...

First order multi-lane traffic flow model – an incentive based macroscopic model to represent lane change dynamics

Unbalanced lane usage on motorways might lead to the reduction in capacity<br/>of the motorway. Lane-level traffic management present new opportunities<br/>to balance the lane-flow distribution and help reduce congestion.<br/>In order to come up with efficient traffic management strategies on a<br/>lane-level, there is a need for accurate lane...

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...