Tag: Queen Mary University

DevelopersInformationNews

Urban Traffic Data Hackathon – Nov 14-15

Roland Major, Enterprise Architect within TfL’s Information Management team, reports on the Urban Traffic Data Hackathon.

In the last post on this blog, Tim introduced the roads data available in our unified API, describing its importance as we encourage road users to check before travelling while we carry out our Road Modernisation Plan.

We continue to engage with developers to help us in making driving in London better, with innovative solutions to traffic, road disruption and planned works information through apps created from our open data. As part of our engagement with the developer community we held an Urban Traffic Data Hackathon on 14-15 November.

Supported by our Roads Space Management team, the event was planned in order to give us the opportunity to engage directly with developers to work on creative and innovative solutions to the challenges on London’s roads. In putting the Hackathon together, we worked with Data Science London (DSL), the largest data science community in Europe, and arranged for data scientists and innovators who are members of DSL to take part in the event.

Queen Mary University hosted our Urban Traffic Data Hackathon on 14-15 November

Queen Mary University hosted our Urban Traffic Data Hackathon on 14-15 November

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