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Transnet: Understanding traffic with open data and visualization

The Alan Turing Institute

Contemporary urban policy makers face a critical challenge over the next decade or so: transport infrastructure needs to be able to cope with growing (and increasingly mobile) populations, yet central and local governments are operating in an era of austerity where major new investment in infrastructure is unlikely. Data science and data-centric engineering offer a potential solution to this problem. Data about the way the infrastructure is used may offer ways of optimising the existing use of infrastructure and open the possibility of improving the performance of existing traffic networks without making major new investments.

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