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Predicting the future
with HERE Traffic
Ben Wilson
GTMO APAC - Traffic
Introduction
01
2
33
Enables four out
of five in-car nav
systems in North
America and
Europe
Enables mobile,
web, and enterprise
solutions for global
industry leaders
Produces maps
for nearly 200
countries
Employs 6,000
people in 55
countries
HERE: Dedicated location-based company
with global reach
© 2016 HERE | Confidential
• In 2004, HERE kicked off its traffic
business in the US with Honda Acura RL
• 12 years later, we deliver 24x7 dynamic
traffic information, providing updated
data on 100% of roads in 58 countries
• Real-time speed and travel times
• Real-time incidents (accidents,
construction)
• Updated every 60 seconds to ensure
fresh traffic for our customers
12 years in real-time traffic business
© 2016 HERE | Product Marketing | Company confidential
HERE Traffic is global
© 2016 HERE | Product Marketing | Company confidential5
Automotive ConsumerGovernment & Enterprise
HERE Traffic
02
6
HERE Traffic Creation Process
© 2016 HERE | Product Marketing | Company confidential7
Quality
Big Data
Low Latency
Processing
Advanced Traffic Computing
Probe
Data
Sensor Data
Historical Data
Journalistic Data
RDS TMC
DAB+ & HD Radio
Connected
HERE Platform
DistributionProcessingData inputs Customers
Predictive Traffic
03
8
Predictive Traffic Summary
© 2016 HERE | Product Marketing | Company confidential9
Coverage
1. USA
2. Canada
3. Germany
4. France
5. UK
6. Italy
7. Netherlands
8. Russia
9. Brazil
10. Australia
11. New Zealand
Forecasted traffic data up to 12 hours into the future
Precision
• Speeds provided
in 15 minute
intervals for up
to 12 hours
• Referenced to
TMC codes
• Predictions made
every minute
Uses
• Improved planning
and alerting
capabilities
• Highly accurate
ETA’s
• Available in
Traffic ML 3.1 feed
1010
Predictive Influencers
• Events or occurrences having a measureable effect on traffic
Real Time Traffic
• Defines current conditions and serves as the base from which
all predictions are made
Relevant Historical Trends
• Historical, reoccurring traffic behavior
Predicting Traffic
© 2016 HERE | Company confidential
1111
Dynamic Model Selection
Predictive Traffic values are generated
from multiple traffic models
Models are selected from an internal
coefficient called model confidence
Model confidence measures multiple
models’ performance over the last 1 hour
Expect model confidence to further
improve anomaly detections and corner
use cases
© 2016 HERE | Company confidential
40
50
60
70
80
90
100
110
120
ModelConfidence
Current Time
Model 1 Model 2
Switch to
model 2
Switch back to
Model 1
1212
Predictive Traffic: Model Demo
© 2016 HERE | Company confidential
1313
Predictive Traffic: Light Day
© 2016 HERE | Company confidential
1414
Routes greater than 30 minutes in duration
Immediate Departures* Future Departures**
Predictive Improvement
over Real Time
10% 23%
Predictive Improvement
over Traffic Patterns
16% 19%
Average Peak ETA Improvement
© 2016 HERE | Predictive Traffic
* Includes departures from 0 to 15 minutes
** Includes departures from 30 minutes to 4 hours
Predictive Use Cases
04
15
Predictive Traffic | Alert: Leave Earlier
• Alert drivers in advance of
their departure when they need to
adjust their plans because of
changing traffic conditions
• Alert mobile users when delays along
their routes are longer than usual
© 2016 HERE | Product Marketing | Company confidential16
17
Predictive Traffic: Signaling Optimization
© 2015 HERE | Company confidential
• Pilot of Predictive Traffic is
now being conducted in
Rome with road authority
• Traffic light signaling system
is updated with HERE
Predictive Traffic
• The demonstration has
improved travel times and
reduced congestion under
these conditions.
HERE Traffic: What’s Next?
05
18
Split Lane Traffic
• Provides lane level precision on highways and ramps
where there is a major discrepancy in speeds between
the lanes as opposed to averaging all the lanes
together for one averaged speed
• Key user experience benefits:
– Enhanced visualization
– Lane alerts based on route and congestion
– Highly accurate travel times
Check out our whitepaper at: here.com/heretraffic
© 2016 HERE | Product Marketing | Company confidential19
• Historical trip counts and travel times
between zones on the map
• For Origin/Destination (OD) analysis
• Enables better traffic modeling than
ever possible before
− Quicker, better coverage and higher
quality than travel diaries or roadblock
surveys
• Based on the same probe data that
powers our other products
• Tailored to custom analysis zones
• Launching in Germany, France, Brazil, US
• Separate truck and passenger data
available
© 2016 HERE | Traffic Analytics Trip Data | Company confidential
Enables detailed modeling
of travel demand and road
network bottlenecks.
Expands on previous
sources to reveal trends
over time.
Helps companies
understand where their
visitors come from and
go to, over time.
Government Enterprise
Trip Data
© 2016 HERE | Product Marketing | Company confidential21

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Predicting the future with HERE Traffic

  • 1. Predicting the future with HERE Traffic Ben Wilson GTMO APAC - Traffic
  • 3. 33 Enables four out of five in-car nav systems in North America and Europe Enables mobile, web, and enterprise solutions for global industry leaders Produces maps for nearly 200 countries Employs 6,000 people in 55 countries HERE: Dedicated location-based company with global reach © 2016 HERE | Confidential
  • 4. • In 2004, HERE kicked off its traffic business in the US with Honda Acura RL • 12 years later, we deliver 24x7 dynamic traffic information, providing updated data on 100% of roads in 58 countries • Real-time speed and travel times • Real-time incidents (accidents, construction) • Updated every 60 seconds to ensure fresh traffic for our customers 12 years in real-time traffic business © 2016 HERE | Product Marketing | Company confidential
  • 5. HERE Traffic is global © 2016 HERE | Product Marketing | Company confidential5 Automotive ConsumerGovernment & Enterprise
  • 7. HERE Traffic Creation Process © 2016 HERE | Product Marketing | Company confidential7 Quality Big Data Low Latency Processing Advanced Traffic Computing Probe Data Sensor Data Historical Data Journalistic Data RDS TMC DAB+ & HD Radio Connected HERE Platform DistributionProcessingData inputs Customers
  • 9. Predictive Traffic Summary © 2016 HERE | Product Marketing | Company confidential9 Coverage 1. USA 2. Canada 3. Germany 4. France 5. UK 6. Italy 7. Netherlands 8. Russia 9. Brazil 10. Australia 11. New Zealand Forecasted traffic data up to 12 hours into the future Precision • Speeds provided in 15 minute intervals for up to 12 hours • Referenced to TMC codes • Predictions made every minute Uses • Improved planning and alerting capabilities • Highly accurate ETA’s • Available in Traffic ML 3.1 feed
  • 10. 1010 Predictive Influencers • Events or occurrences having a measureable effect on traffic Real Time Traffic • Defines current conditions and serves as the base from which all predictions are made Relevant Historical Trends • Historical, reoccurring traffic behavior Predicting Traffic © 2016 HERE | Company confidential
  • 11. 1111 Dynamic Model Selection Predictive Traffic values are generated from multiple traffic models Models are selected from an internal coefficient called model confidence Model confidence measures multiple models’ performance over the last 1 hour Expect model confidence to further improve anomaly detections and corner use cases © 2016 HERE | Company confidential 40 50 60 70 80 90 100 110 120 ModelConfidence Current Time Model 1 Model 2 Switch to model 2 Switch back to Model 1
  • 12. 1212 Predictive Traffic: Model Demo © 2016 HERE | Company confidential
  • 13. 1313 Predictive Traffic: Light Day © 2016 HERE | Company confidential
  • 14. 1414 Routes greater than 30 minutes in duration Immediate Departures* Future Departures** Predictive Improvement over Real Time 10% 23% Predictive Improvement over Traffic Patterns 16% 19% Average Peak ETA Improvement © 2016 HERE | Predictive Traffic * Includes departures from 0 to 15 minutes ** Includes departures from 30 minutes to 4 hours
  • 16. Predictive Traffic | Alert: Leave Earlier • Alert drivers in advance of their departure when they need to adjust their plans because of changing traffic conditions • Alert mobile users when delays along their routes are longer than usual © 2016 HERE | Product Marketing | Company confidential16
  • 17. 17 Predictive Traffic: Signaling Optimization © 2015 HERE | Company confidential • Pilot of Predictive Traffic is now being conducted in Rome with road authority • Traffic light signaling system is updated with HERE Predictive Traffic • The demonstration has improved travel times and reduced congestion under these conditions.
  • 18. HERE Traffic: What’s Next? 05 18
  • 19. Split Lane Traffic • Provides lane level precision on highways and ramps where there is a major discrepancy in speeds between the lanes as opposed to averaging all the lanes together for one averaged speed • Key user experience benefits: – Enhanced visualization – Lane alerts based on route and congestion – Highly accurate travel times Check out our whitepaper at: here.com/heretraffic © 2016 HERE | Product Marketing | Company confidential19
  • 20. • Historical trip counts and travel times between zones on the map • For Origin/Destination (OD) analysis • Enables better traffic modeling than ever possible before − Quicker, better coverage and higher quality than travel diaries or roadblock surveys • Based on the same probe data that powers our other products • Tailored to custom analysis zones • Launching in Germany, France, Brazil, US • Separate truck and passenger data available © 2016 HERE | Traffic Analytics Trip Data | Company confidential Enables detailed modeling of travel demand and road network bottlenecks. Expands on previous sources to reveal trends over time. Helps companies understand where their visitors come from and go to, over time. Government Enterprise Trip Data
  • 21. © 2016 HERE | Product Marketing | Company confidential21

Editor's Notes

  1. Our maps, and the people who build them, are everywhere you need to be We are the only dedicated location-based company with global reach Our team of 6,000 employees, operating in 55 countries are all laser focused on delivering the world’s best map and location services We make maps for nearly 200 countries and our products and services can be found in four out of five in-car navigation systems in North America and Europe and in mobile, web, and enterprise solutions for global industry leaders We combine highly accurate and fresh maps with cloud technology to enable rich, real-time location experiences in a broad range of connected devices.
  2. Influencers – Traffic conditions (rush hour v other), Holidays, Season, Accidents, Construction, School Zones, Weather, Sporting events, concerts & civic events Historic Traffic – over 2 Trillion GPS data points.
  3. This movie demonstrates the “80%” example of predictive traffic; show cases predictive when no dynamic model selection takes place
  4. Demonstrates the 20% use case; when we expect a rush hour and no rush hour occurs and dynamic model selection is invoked
  5. 80 routes identified in 16 different major cities in US, Canada and Germany Cities selected based on combination of population, traffic conditions, and relevance Routes incorporate major highways where traffic volume and variability are high Routes vary in length from under 30 minutes to over 2 hours Execution Each route was driven an average of 27,000 times between 6am and 10pm over the course of 2 months Prior to departure, an estimated time of arrival (ETA) was calculated using predictive traffic, historical traffic patterns, and real time traffic speeds After each drive, the difference between each ETA and the actual drive time for that trip was measured
  6. Pilot Overview
  7. Australia Oct 2016