Bringing your GIS up to speed with Real-Time data

Prepared by:
Keith Hangland
Nokia Location & Commerce
(formerly NAVTEQ)

Transcript

1. Prepared by: Keith Hangland Nokia Location & Commerce (formerly NAVTEQ) Bringing your GIS up to speed with Real-Time data 1
2. -  How did we get here evolve? -  How is it possible? -  What’s next? Agenda 2
3. Evolution into Real-Time Data 3 1980s – GIS is backroom enterprise technology 1990s – Enterprise technology expanded to desktop, consumer technologies eminent 2000s – Widely Integrated Enterprise, Consumer and Mobile Technologies
4. • Moving rapidly away from fairly static “all-in-one” systems • Becoming embedded our technology • Going well beyond where?, into when?.....how much? • Increasingly powering people with better and better information Today’s Map 4
5. • Geospatial Content – Reference Maps • Computing Power - Platform Technology, Data Centers • Devices - Mobile/Wireless Technology, Smartphones, PNDs, TVs, etc • Shared locations and activities – social networks, vehicle location, speeds and routes • Sensor networks • Historic Conditions Key Enabling Ingredients 5
6. Processing Technology Platform Content The Building Blocks Apps Across Multiple Screens 6
7. Positions Maps Traffic Places Directions Guidance Big Data Communication Smart Data Platform Content Screens 7
8. • Traffic Flow • Traffic Incidents • Weather • Gas prices • Parking Availability • EV Station Availability Existing Solutions 8
9. 9 Understanding Real-time Traffic Flow
10. • Sensor network (radar, loop detectors, bluetooth, etc) • GPS Probe data (mobile sensors) • Routable Map • Big Data Processng power • Management Center – people/oversight • Community Sources –Twitter, Trapster, etc • Distribution Channels – Radio, TV, Internet, Wireless, In- dash, mobile Key components to real-time Traffic 10
11. Real-time Traffic Platform 11 Historic Traffic Unplanned Incidents Congestion Incidents Probes Toll Tags Sensors Planned Incidents NAVTEQ Smart Traffic Processor In-Vehicle Wireles s Internet Radio TV
13. • Inductive Loop • Laser • Bluetooth “sniffers” • Toll-Tag Readers • Cameras/Video Detection • etc Common Sensor Technologies 13
14. LA Sensor Network 14
16. • Wireless carriers • Personal Navigation Devices • Smartphones • Apps • etc Probe Sources 16
17. Probe Availability and Latency 17
18. Commercial vs Consumer 18
20. Los Angeles, Ca: Pre-Expansion
21. Los Angeles, CA: Post-Expansion 21 NAVTEQ Proprietary and Confidential
22. Increasing Granulartity BEFOR E AFTER
23. Predictive Traffic (October 2011) 23
24. • Increasing sense of location and reality made possible by sensors technology and consumer driven Big Data • Greater potential to create virtual reality environments • Ability to replay events to better prepare for the next occurrance • Real-time application offer limitless potential − Parking availability, Transit arrival, Road closures, Connected Vehicles (VTV and VTI), Driverless Cars, etc Looking forward… 24
25. Keith.Hangland@Nokia.com Questions? 25