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.
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.