Connecting existing data


Propose to create a unified tranist map of the city - to inform commuters of the most effiecent route, reroute while in transit and collect data for efficient modelling/alloacation of resources.  Implemented by creating solutions that work with existing APIs to develop partnerships between traffic and commuter information sources. 

Key Partners:


Employers and business owners that rely on staff and goods reliably being able to access their business.

City council:  infrastructure – roads, traffic signals, public transport.

Private infrastructure companies: privatised public transport, car park operators, toll road companies

Taxi, private car and car sharing companies.

Telecommunications network companies

App developers

Connecting key partners and their existing data, processing this into an easily accessible and understandable format for commuters.  Allows for more informed choice of transport type for commuters, live route information for commuters enroute, and for businesses and councils to plan resources and policies.


Key pieces of this infrastructure already exist.  Metro networks such as the one in London have route planners which feed live information about cancellations, delays or construction work, providing commuters with route suggestions based on factors of transport type, number of interchanges and shortest time to destination.

To create a complete transport solution this concept of route and live information mapping should include private vehicles which currently have more atomised data sources.

  • GPS feeding in planned routes-  track, map and predict impending traffic problems – with the ability to reroute. 
  • The data already collected to display current commute time information along the route of many urban freeways. 
  • Multi-story car parks live signage that directs drivers to available capacity.
  • Live mapping of traffic signal changes, areas of congestion and construction delays.
  • Availability of car and bike sharing vehicles
  • Available taxis and private cars with estimated cost of journey based on current traffic congestion.
  • Additional to this could be inflow/outflow of passengers on public transport services via turnstile data.


Collecting this data to analyse trends, predict areas of future infrastructure need and develop policies to alleviate stress points in the system. 

Initiatives that incentivise public transport and car sharing are not new.  Many cities have congestion charges, transit lanes for multi passenger cars or reduced public transport fares outside of peak travel.  The use of integrated data and forecasting could make these programs better tailored to the actual needs of commuters, their performance tracked and improved upon.

 Available for the commuter online, desktop/app or integrated into a GPS device API.


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