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Open Transport and Traffic
Data
A new 'virtual' infrastructure
Philip Blake
Digital Disruption
 Trying to predict the future is like trying to
drive down a country road at night with no
lights while looking out the back window.
(Peter Drucker)
 It is impossible to predict the time and
progress of revolution. It is governed by its
own more or less mysterious laws.
(Vladimir Lenin)
Digital Disruption
 1900’s – cars, motorcycles and trucks
 2000’s – digital technologies and
communications
 Government roles?
 Industry roles?
Policy Framework for Intelligent
Transport Systems in Australia
 ITS development and implementation must
deliver demonstrable benefits
◦ ITS planning and implementation will facilitate
competition and consumer-driven outcomes
 The policy environment in which ITS are
developed and implemented must be robust
and dynamic,
◦ regulatory and non-regulatory processes.
Traveller and traffic information
supply chain
From Austroads (2010), Research Report AP-R352-10 The Commercial and Core Function Role of
Road Agencies in Providing Raw Data and/or Traveller Information
Business Models
 Contract business model
 Partnership business model
Current Channels
 Australian Traffic Network
 Intelematics / SUNA
 Google Maps Traffic
 WAZE
 Gettraffic
 HERE
 Navigation Systems
 Tomtom
Current Channels
 Government
Open data policy responses
 Customer Types
◦ Industry
◦ App Developers
◦ Public
◦ Transport and road agency operations and planning
Real-time traffic information
Real-time traffic information
 Interviewed public complacent / not overly
concerned about general traffic delays
 More interested in Incidents, Events and Roadworks
 Pre-trip planning seems to be rare
 Perception of radio info is very mixed
 No apparent open data
standard
◦ Create public ‘language’ for
traffic information similar to
weather bureau ‘language’
for weather
App developers need to know
 If the data and API documentation is kept
◦ up to date,
◦ reliable
◦ online
 Licenses or agreements to use the data
Creative commons
 Free licence
 Allows
◦ sharing of data
◦ reuse
◦ remixing
◦ innovation
Real-time traffic information
 During routine daily activities
 In emergency situations
Supporting data
 Places real-time data into context
 To create information
 Quality is crucial
Cooperative ITS
 Wireless communications
◦ between vehicles
◦ with roadside infrastructure
 Enables the next generation of systems that
◦ cooperatively
work together
◦ deliver safety,
efficiency and
environmental
outcomes
Cooperative ITS
Source: US DOT
Cooperative ITS
 Facing new or enhanced responsibilities
◦ key stakeholders in supply chain
◦ To meet emerging map data requirements
Multiple pressures
 Consumers of digital
transport and traffic products
◦ Digital app developer industry
 Open Data policy
 Demands for improved
project planning rigour and
transparency
 Cooperative Intelligent
Transport Systems
A new type of public
infrastructure for transport
 Basic core data resource
 Paradigm shift
◦ From internal planning, design and operational
resource
→To public good resource that is continually available
A new type of public
infrastructure for transport
A new type of public
infrastructure for transport
 Scenario: A new road
 Soon:
◦ a road agency will not open a new road without the
virtual data infrastructure also being available
 Project scope: expand to include data change
control.
◦ This may entail versioning and release control
 A new ‘virtual’ road added to the network
◦ ‘street directory’ business model (printed or
electronic) will not be acceptable
Privacy
 Real and perceived concerns
 NTC
◦ Recommendations to address privacy
issues raised include:
◦ Adopt privacy-by-design principles
◦ Seek the highest possible level of
anonymity with C-ITS data messages
◦ Specific legislative protections may
need to be developed if individuals can
be reasonably identifiable
Conclusions
 Uncertainty
 Performance standards
◦ No digital potholes
◦ Enhanced approaches to data management
 How will government respond?
◦ Local government?
◦ ‘Impresarios’?
 Difficulty of cultural shift?
 Privacy concerns (real or perceived)?
A ‘virtual’ public infrastructure
for transport
 The new reality in the digital age

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Phil Blake

  • 1. Open Transport and Traffic Data A new 'virtual' infrastructure Philip Blake
  • 2. Digital Disruption  Trying to predict the future is like trying to drive down a country road at night with no lights while looking out the back window. (Peter Drucker)  It is impossible to predict the time and progress of revolution. It is governed by its own more or less mysterious laws. (Vladimir Lenin)
  • 3. Digital Disruption  1900’s – cars, motorcycles and trucks  2000’s – digital technologies and communications  Government roles?  Industry roles?
  • 4.
  • 5. Policy Framework for Intelligent Transport Systems in Australia  ITS development and implementation must deliver demonstrable benefits ◦ ITS planning and implementation will facilitate competition and consumer-driven outcomes  The policy environment in which ITS are developed and implemented must be robust and dynamic, ◦ regulatory and non-regulatory processes.
  • 6. Traveller and traffic information supply chain From Austroads (2010), Research Report AP-R352-10 The Commercial and Core Function Role of Road Agencies in Providing Raw Data and/or Traveller Information
  • 7. Business Models  Contract business model  Partnership business model
  • 8. Current Channels  Australian Traffic Network  Intelematics / SUNA  Google Maps Traffic  WAZE  Gettraffic  HERE  Navigation Systems  Tomtom
  • 10. Open data policy responses
  • 11.
  • 12.  Customer Types ◦ Industry ◦ App Developers ◦ Public ◦ Transport and road agency operations and planning Real-time traffic information
  • 13. Real-time traffic information  Interviewed public complacent / not overly concerned about general traffic delays  More interested in Incidents, Events and Roadworks  Pre-trip planning seems to be rare  Perception of radio info is very mixed  No apparent open data standard ◦ Create public ‘language’ for traffic information similar to weather bureau ‘language’ for weather
  • 14. App developers need to know  If the data and API documentation is kept ◦ up to date, ◦ reliable ◦ online  Licenses or agreements to use the data
  • 15. Creative commons  Free licence  Allows ◦ sharing of data ◦ reuse ◦ remixing ◦ innovation
  • 16. Real-time traffic information  During routine daily activities  In emergency situations
  • 17. Supporting data  Places real-time data into context  To create information  Quality is crucial
  • 18. Cooperative ITS  Wireless communications ◦ between vehicles ◦ with roadside infrastructure  Enables the next generation of systems that ◦ cooperatively work together ◦ deliver safety, efficiency and environmental outcomes
  • 20. Cooperative ITS  Facing new or enhanced responsibilities ◦ key stakeholders in supply chain ◦ To meet emerging map data requirements
  • 21. Multiple pressures  Consumers of digital transport and traffic products ◦ Digital app developer industry  Open Data policy  Demands for improved project planning rigour and transparency  Cooperative Intelligent Transport Systems
  • 22. A new type of public infrastructure for transport  Basic core data resource  Paradigm shift ◦ From internal planning, design and operational resource →To public good resource that is continually available
  • 23. A new type of public infrastructure for transport
  • 24. A new type of public infrastructure for transport  Scenario: A new road  Soon: ◦ a road agency will not open a new road without the virtual data infrastructure also being available  Project scope: expand to include data change control. ◦ This may entail versioning and release control  A new ‘virtual’ road added to the network ◦ ‘street directory’ business model (printed or electronic) will not be acceptable
  • 25. Privacy  Real and perceived concerns  NTC ◦ Recommendations to address privacy issues raised include: ◦ Adopt privacy-by-design principles ◦ Seek the highest possible level of anonymity with C-ITS data messages ◦ Specific legislative protections may need to be developed if individuals can be reasonably identifiable
  • 26. Conclusions  Uncertainty  Performance standards ◦ No digital potholes ◦ Enhanced approaches to data management  How will government respond? ◦ Local government? ◦ ‘Impresarios’?  Difficulty of cultural shift?  Privacy concerns (real or perceived)?
  • 27. A ‘virtual’ public infrastructure for transport  The new reality in the digital age

Editor's Notes

  1. Use multiple points, if necessary.
  2. Use multiple points, if necessary.
  3. Use brief bullets and discuss details verbally.