As previously outlined in our post on March 30 on this blog, the Traffic Data Hack Day was hosted by Amazon Web Services on April 6. The event was attended by TfL employees, academics working within this subject area, data scientists, transport app developers and data visualisation developers.
Another key event in our engagement with those working with our open data, the day was split into two areas, with one focussed on visualising TfL data and the other on extracting data from the source and providing it for analysis.
I’ve not attended a hackathon or hack day before, so it was really interesting to see how they work and to meet participants from all sorts of backgrounds, including universities, consultancies, government agencies and other parts of TfL.
At the beginning of the day we split the focus into two areas; ‘EMR (Elastic Map Reduce)’ where the group was looking at ways to improve the feed of, access to and processing of the SCOOT data and ‘Redshift’ where the group made use of data that had been uploaded to the system and was ready to analyse.
TfL’s Urban Traffic Control System (UTC) uses 12,000 sensors located at junctions across the Capital to measure traffic flow. The data produced is used to drive SCOOT – the traffic light optimiser system – and on Wednesday 6 April we’re aiming to generate greater value from this as-yet untapped data source.
We want to configure a data processing engine for UTC data and begin exploring this large data set using the tools business users are familiar with, such as R Studio and Tableau, as well as event streams, map reduce type platforms and machine learning tools.
The event is part of our ongoing drive to work with the dev community to create great products from our open data, and offers an opportunity to learn and experiment with cloud tools in a safe, sandbox type environment. Experts from TfL’s Road Space Management team will be on hand to provide support.
Where and when
Venue: Amazon Development Centre, Leadenhall Court, One Leadenhall Street, London, EC3V 1PP
6 April 2016 09:00 – 17:00
Lunch will be provided, so please let us know any dietary requirements.