During the presentations of the below hacks I was blown away by the range of ideas. Now that some of the teams have done further work since the day itself, I remain stunned at the range and quality of the output, particularly because of the complexity of the subject matter, and the fact that a lot of the developers hadn't built any train-related software before. So check out all of the impressive, useful and fun train hacks, and marvel at what can be done when data is opened and great minds work together...
Hack #1 - Trainspot.in... FourSquare for trains
What? A very clever hack that enables users to check into a train. The resulting platform/API could be used to build all manner of interesting applications, exciting trainspotters everywhere with the ability to earn badges and social recognition for travelling on as many different trains as possible. Try it out for yourself here!
Data/technology used: This sophisticated implementation uses lots of Network Rail data, an existing API built by Tom Cairns (see Hack #6 below) and combines these with HTML5 Geolocation, allowing users to check in from any supported browser. STOMP tells the application each time a train enters or leaves a station. The station is then matched to the NaPTAN dataset (converting STANOX->TIPLOC along the way) to find a geolocation for each station, and hence each train.
Next steps: Not quite clear yet, but there's a lot of potential...
Hack #2 - Journey planner maps with lines that follow the tracks
What? A method of extracting open streetmap data to put it into graph form and allow it to be used in journey-planning applications.
Next steps: Improve database queries so that it takes less than a month of processing(!) to apply this solution to all European OSM data
Hack #3 - Scenic railways
Data/technologies used: Ruby on Rails, Objective-C (dummy data for now)
Next steps: Link itineraries to proper open train data so that users can start adding their own points of interest
Hack #4 - Realtime Dutch trains
What? A simple but highly-usable site showing live departure boards for all Dutch train stations using the amazing API made available by the Dutch rail company, NS. Check out the Realtime Dutch Trains site which is live right now and very helpful if you're catching trains in the Netherlands.
Who? Ian Shortman
Next steps: Use a similar approach for realtime UK data if/when a suitable API becomes available (see Hack #6 below)
Hack #5 - ChooChooTune
What? An app that helps you pick a playlist tailored to the length of your train journey!
Who? Lee and Nial from Pinkfroot
Next steps: Go on a train and listen to some tunes! (Next steps for the app still being decided...)
Hack #6 - Realtimetrains
What? The Realtimetrains.co.uk site makes sophisticated use of newly-open realtime data, and has been live for some time. The hack day work related to one specific improvement relating to minimising reliance on one specific message in the feed to ensure that overall reliability/data completeness increased (the technical term is "self-activating trains").
Who? Tom Cairns
Next steps: Code being tidied up to put on Github whilst Tom concentrates on the 3rd year of his degree
Hack #7 - Follow the rails
What? A site that mashes up Network Rail realtime data with tweets within a one mile radius of trains on a Googlemap. Very useful for getting more context/information on train delays before catching a train, or to see what fellow passengers are saying when you're on board. More info in this presentation.
Who? Elena Croitoru
Next steps: Code to be tidied and put on Github...
Hacks #8, #9 and #10
We don't have screenshots or detailed info for the remaining hacks, but that doesn't mean that they weren't amazing!
Hack #8 gathered together all of the data on how to to take bikes on trains in the UK to make it available for journey-planners and booking sites to work better for cyclists. All the collated data and more info about the possible next steps for the project can be found over on the open rail data wiki
Hack #10 was The Dank Spangle Memorial Train Timeliness Reckoning and helped users to see exactly the total amount of delays in the UK at any one point, as well as the most delayed train. More information and all of the code is on Github.