Data Driving InnovationGabriel Reid, Software Engineer at TomTom
Who is Gabriel Reid?• Software Engineer in TomTom Content Production since 2005• Develop software for digital map creation...
Introduction to digital map creation    More than just a bunch of lines    • High level of      detail    • Stringent qual...
Construction Status:                Construction planned              Composite Vehicle Restriction                       ...
Map content and map creation a few years ago                               • Very static                               • R...
Anonymous data collection6   10 June 2011
How anonymous probe data collection works7   10 June 2011
See where (and when) vehicles have driventhrough the road network8   10 June 2011
Map Corrections9   10 June 2011
Probe data has changed how we make maps10   10 June 2011
Road attribute extractionMore than just coordinates Number of lanes                 Speed restrictions                One-...
Let the innovation begin!12   10 June 2011
A recipe for innovation Lots of data                An inventive teamResult: innovations that couldn’t have evenbeen dream...
Data has led to new products                                                                    Road curvature and Speed P...
Even more data• Mobile phones used as remote  sensor network• No need to have GPS-enabled  mobile phones• Provides real-ti...
HD Traffic                    • Real-time traffic flow                      information in Europe and the                 ...
Data has led to a new business modelTomTom doesn’t just sell GPS units anymore• Transitioning from a  consumer device-base...
Innovation breeds innovationSmart ideas lead to smarter ideas                                    • Data and information sh...
There is no silver bulletHuge amounts of unstructured data can’t solve all your problems• Not everything can be extracted/...
Conclusion• Lots of data can lead to new ideas• Don’t let storage or structure be  too much of an issue in the  beginning•...
Thank you     Any questions?21    10 June 2011
Upcoming SlideShare
Loading in …5
×

Sirris Innovate 2011 - Data Driving Innovation, Gabriel Reid, TomTom

863 views

Published on

Gabriel Reid explained how TomTom has transitioned from more traditional methods of data collection and processing to an innovative data-driven approach for the creation of digital maps and services. He outlinened how this completely new approach has not only led to increased efficiency and quality, but even to a whole new business model for the company.

Published in: Technology
  • Be the first to comment

  • Be the first to like this

Sirris Innovate 2011 - Data Driving Innovation, Gabriel Reid, TomTom

  1. 1. Data Driving InnovationGabriel Reid, Software Engineer at TomTom
  2. 2. Who is Gabriel Reid?• Software Engineer in TomTom Content Production since 2005• Develop software for digital map creation, conversion, and maintenance• Current focus: Explorative Development• TomTom: • Founded in 1991 • 3500 employees • Sales in over 40 countries • Navigation devices, digital maps, real-time services2 10 June 2011
  3. 3. Introduction to digital map creation More than just a bunch of lines • High level of detail • Stringent quality requirements for automotive clients3 10 June 2011
  4. 4. Construction Status: Construction planned Composite Vehicle Restriction Blocked PassageFunctional Road Class House Number Dynamic Speed from July 20 Even Information: th to Information: Blocked August 10th 2011 Restriction: in both every second Sunday Positional Accuracy Numbers on the left side, starting from Speed Restrictions, includingall of the month for directions 12 and ending at 28, vehicle andNo Through Traffic: false time validity Direction of Traffic 16, 18, 20, with 14, vehicles except Flow: Open in both 24 as and emergency vehicles Road Conditions Part of a Structure:all false intermediate directions for numbers, odd ADAS-Compliant: true vehicle types except on the right numbers Rough Road side, starting at 11 Local Importance: heavy vehicles at all and ending at 25, times withConnecting Road 15, 17, 19, 21, Route Number Information, Route Road Geometry Completeness and 23 as Special Restrictions intermediate Shield Information numbers Special Charge Street Code: AAABB723423XD3 Lane Type of Lanes: 3 Number Information Toll Information Road: false Back Name: 14th Street Transition Lane End Information Street Identifier: 1244322124543 Speed Category RDS and TMC code information Carriageway Designator: Local Postal Code Information Alternate Name: Fourteenth StreetRamp Plural Junction Alternate Name Side of Line: Both Lane Direction Category: straight with Processing Status: MRNW Major RoadWay: Single Form of Feature: true single solid line, always Carriageway valid Stubble Freeway: false4 10 June 2011
  5. 5. Map content and map creation a few years ago • Very static • Relatively slow and expensive to collect • Define exactly what you want, and then start collecting/producing it5 10 June 2011
  6. 6. Anonymous data collection6 10 June 2011
  7. 7. How anonymous probe data collection works7 10 June 2011
  8. 8. See where (and when) vehicles have driventhrough the road network8 10 June 2011
  9. 9. Map Corrections9 10 June 2011
  10. 10. Probe data has changed how we make maps10 10 June 2011
  11. 11. Road attribute extractionMore than just coordinates Number of lanes Speed restrictions One-way streetsThe number of lanes on a road “Trustworthy” drivers are found Everyone driving in onecan be extracted based on and used to extend speed direction along a road points isstatistical probe traces restriction information an indication of a one-way road11 10 June 2011
  12. 12. Let the innovation begin!12 10 June 2011
  13. 13. A recipe for innovation Lots of data An inventive teamResult: innovations that couldn’t have evenbeen dreamed of before the data was available13 10 June 2011
  14. 14. Data has led to new products Road curvature and Speed Profiles Custom Travel Times gradient informationStatistical information about the Expected travel times over a Highly detailed informationspeed of traffic flow at any complete route based on about the curves and gradientgiven time of day on any day of statistical information along roads that has beenthe week extracted from historical data14 10 June 2011
  15. 15. Even more data• Mobile phones used as remote sensor network• No need to have GPS-enabled mobile phones• Provides real-time data15 10 June 2011
  16. 16. HD Traffic • Real-time traffic flow information in Europe and the United States • Based on anonymous real-time data • 80 million mobile phone users • 1.6 million connected TomTom users16 10 June 2011
  17. 17. Data has led to a new business modelTomTom doesn’t just sell GPS units anymore• Transitioning from a consumer device-based business model to a services- based business model• Real-time traffic information services • Consumer market • Government and enterprise market17 10 June 2011
  18. 18. Innovation breeds innovationSmart ideas lead to smarter ideas • Data and information sharing • Experimentation time18 10 June 2011
  19. 19. There is no silver bulletHuge amounts of unstructured data can’t solve all your problems• Not everything can be extracted/mined out of data• Big data storage and processing aren’t always easy19 10 June 2011
  20. 20. Conclusion• Lots of data can lead to new ideas• Don’t let storage or structure be too much of an issue in the beginning• Encourage experimentation and foster knowledge sharing• The innovations of tomorrow aren’t even being dreamed of yet…20 10 June 2011
  21. 21. Thank you Any questions?21 10 June 2011

×