University of Queensland study measuring traffic flow and density

New research from UQ presents novel approach to traffic flow and density


July 6th 2020 · 3 min reading

Traffic Flows

In mathematics and transportation engineering, traffic flow is the study of interactions between travellers and infrastructure, with the aim of understanding and developing an optimal transport network

Share this article on the following platforms:

Project by Mehmet Yildirimoglu- A lecturer in Transport Engineering at the School of Civil Engineering from The University of Queensland.

His research revolves around large-scale traffic modeling, dynamic traffic assignment, data mining techniques and real-time traffic management.

This research presents a novel, network-wide approach to identify critical links and estimate average traffic flow and density. The proposed model estimates the Macroscopic Fundamental Diagram (MFD) using flow and density measurements from those critical links, which constitute only a small subset of all the links in the network. Traffic congestion has been increasing due to population growth and rapid development of metropolitan areas. It has been proven that increasing the supply (e.g. constructing new infrastructure) will not necessarily alleviate traffic congestion. The first stage towards this final goal is to properly monitor or estimate traffic dynamics.

For the full story, click here.

Compass IOT is an analytics-focused startup that aggregates transport data to help infrastructure planning teams form more informed decisions. Our software takes complex data operations and puts it in an easy-to-understand visual platform so that teams can better interpret the analytics and form actionable plans.