A team of researchers from MIT and Notre Dame are using an innovative modeling approach to predict the flow of traffic. This new model takes into account potential changes that may occur in the network (eg. construction or road closures), and is better able to deal with such changes than previous versions of the model. In the future, similar models could be applied to any network flows that include human choices.
“This work fills a gaping hole in our understanding of — and ability to predict — network flows,” says Stephen Eubank of the Network Dynamics and Simulation Science Lab.
For the full article, see here.