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.