P2P+ (Point2PointPlus)

Point2PointPlus, or P2P+, is a smart new way to navigate the Australian Capital Territory. We’ve integrated open government data and public APIs to build an intelligent navigation experience. The aim was to create a smart phone application that made users both safer and more connected to the places and community around them.

How does it work? First select whether you're driving, walking or cycling then select two points within the ACT. You then have the opportunity to select any modifiers. A route will be calculated between the two points, taking into account any modifiers that were selected. Examples of modifiers include:

  • Avoid Risky Bicycle Areas - If cycling, will avoid areas with high bicycle crash rates.
  • Art Attractions - Routes you past nearby public art attractions.
  • Street Lights - If walking or cycling, will avoid areas without street lights if possible.
  • Safe Parking - If driving, will direct you away from car parks with recent car-related crimes.
  • Any many more...

Who is P2P+ for? Anyone who wants to feel safer and more connected in their community. Currently only available for Android with iOS and web-based versions planned.

Data Used? A full list of data used can be found below. For every modifier in the app, 1-2 datasets have been used. The majority of the used data relies heavily upon GPS coordinates. If new datasets become available, they can be intuitively added and configured with presets to determine how P2P+ will interact with the new data. We plan on adding the ability for users to create and share their own modifiers from their own data or other open data.

 

Prize Categories:

  1. Best data mashup - P2P+ has many modifier options available which use a range of different data. Modifiers can be combined in an almost infinite number. E.g. Combining 'Avoid Risky Bicycle Areas', 'Art Attractions' and 'Playground' modifiers will calculate a route which avoids areas with high ibicycle crash rates, go past nearby art attractions and stop at a children's playground. The possibilities of data mashup are endless.
  2. Best location-based hack - P2P+ relies on ACT so much that the app currently isn't available anywhere else. A full list of ACT data used can be found below under the Data Used header.
  3. Best tertiary hacker team - Team ERM consists entirely of students from the University of Canberra.
  4. Community/liveability hack - P2P+ makes the Canberra community safer and more connected. See prize category 7 and 9 for more details.
  5. First Hackers - 100% of Team ERM are first time competitors in GovHack
  6. Places hack - P2P+ makes transport in the ACT more efficient and more environmentally friendly by encouraging walking and cycling. See prize category 8 for more details.
  7. Safety hack (International) - P2P+ makes drivers, cyclists and pedestrians safer and more informed. E.g. If a cycler uses P2P+ with the 'Avoid Risky Bicycle Areas' modifier they will avoid risky areas where cyclists have high crash rates. P2P+ can also avoid areas without streetlights for pedestrians and cyclists. Currently the app only works within the Australian Capital Territory, but can be expanded internationally with more data (and time).
  8. Social hack - P2P+ increases public safety and promotes a more sustainable community. See prize category 7 and 9 for more details.
  9. Transport hack - P2P+ makes transport in Canberra safer and more efficient. P2P+ will prioritise bike lanes and foot paths for cyclists and pedestrians on a level above anything currently offered due to the nature of the open data provided. P2P+ also encourages cycling or walking with the addition of modifiers such as 'Art Attractions' and 'Tourist Mode'. See prize category 7 for more details.
Team name
Team ERM
State, Territory or Country
Event location
Datasets used
Dataset Name
ACT Police Station Locations
Dataset Name
Hospitals in the ACT
Dataset Name
Public Barbeques in the ACT
Dataset Name
Public Furniture in the ACT
Dataset Name
Town and District Playgrounds
Dataset Name
Traffic speed camera locations
Dataset Name
Road Signs in the ACT
Project image
Video URL (YouTube/Vimeo)