SmartRoads

Team Name: 
team404

Over the course of the hack, we went through several different ideas, and all of those ideas went through several iterations and evolutions of their own. Being very new to not only Xcode and iOS development, but also Swift as a language. We were cautious to avoid ideas and iterations that seemed too farfetched or vulnerable to feature creep. Eventually we settled on smart roads. We did this because we knew that if the project ran into serious and prolonged technical issues, the core function highlighting the locations of features of significance to the driver would still be of use within and of itself, even if we could not implement the stretch goals relating to radius based search areas, calculating distance from the user, and a user-based hazard tagging system.

Although we were not able to implement the user data based systems, we were sucessful in implementing all core functions, and most of our stretch goals. Overall, a very successful project and a favourable outcome.

Team Prize Details: 
100% youth hacker team, being students from Canberra Grammar School
Used Datasets: 
Dataset Name: 
National Petrol Stations Database
Publishing Organisation/Agency: 
Geoscience Australia
Jurisdiction of Data: 
Australian Government
How did you use this data in your entry?: 
We used this data to plot and apply calculations based on location data in the data set so we can guide the user to said locations.
Dataset Name: 
Bus Stops
Publishing Organisation/Agency: 
data.act.gov.au
Jurisdiction of Data: 
ACT Government
How did you use this data in your entry?: 
We used this data to plot and apply calculations based on location data in the data set so we can guide the user to said locations.
Event Location: 
Canberra