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Predicting the future with HERE Traffic

Ben Wilson GTMO APAC - Traffic

Introduction012

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

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Our maps, and the people who build them, are everywhere you need to beWe are the only dedicated location-based company with global reachOur team of 6,000 employees, operating in 55 countries are all laser focused on delivering the worlds 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.

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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 timesReal-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

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HERE Traffic is global 2016 HERE | Product Marketing | Company confidential 5

AutomotiveConsumerGovernment & Enterprise

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HERE Traffic026

HERE Traffic Creation Process 2016 HERE | Product Marketing | Company confidential 7QualityBig DataLow Latency ProcessingAdvanced Traffic Computing Probe DataSensor DataHistorical DataJournalistic Data

RDS TMCDAB+ & HD Radio Connected

HERE Platform

DistributionProcessingData inputsCustomers

Predictive Traffic038

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Predictive Traffic Summary 2016 HERE | Product Marketing | Company confidential 9CoverageUSACanadaGermanyFrance UKItalyNetherlandsRussiaBrazilAustraliaNew ZealandForecasted traffic data up to 12 hours into the futurePrecisionSpeeds provided in 15 minute intervals for upto 12 hoursReferenced to TMC codesPredictions made every minuteUsesImproved planning and alerting capabilitiesHighly accurate ETAsAvailable in Traffic ML 3.1 feed

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Predicting Traffic 2016 HERE | Company confidential

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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.10

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 Switch to model 2Switch back to Model 1

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Predictive Traffic: Model Demo 2016 HERE | Company confidential

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This movie demonstrates the 80% example of predictive traffic; show cases predictive when no dynamic model selection takes place12

Predictive Traffic: Light Day

2016 HERE | Company confidential

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Demonstrates the 20% use case; when we expect a rush hour and no rush hour occurs and dynamic model selection is invoked13

Routes greater than 30 minutes in durationImmediate Departures*Future Departures**Predictive Improvement over Real Time10%23%Predictive Improvement over Traffic Patterns16%19%

Average Peak ETA Improvement 2016 HERE | Predictive Traffic * Includes departures from 0 to 15 minutes** Includes departures from 30 minutes to 4 hours

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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

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Predictive Use Cases0415

Predictive Traffic | Alert: Leave EarlierAlert drivers in advance of their departure when they need to adjust their plans because of changing traffic conditionsAlert mobile users when delays along their routes are longer than usual 2016 HERE | Product Marketing | Company confidential 16

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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.

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Pilot Overview17

HERE Traffic: Whats Next?0518

Split Lane TrafficProvides 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 speedKey user experience benefits:Enhanced visualizationLane alerts based on route and congestionHighly accurate travel times

Check out our whitepaper at: here.com/heretraffic

2016 HERE | Product Marketing | Company confidential 19

Australia Oct 2016

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Historical trip counts and travel times between zones on the mapFor Origin/Destination (OD) analysisEnables better traffic modeling than ever possible beforeQuicker, better coverage and higher quality than travel diaries or roadblock surveysBased on the same probe data that powers our other productsTailored to custom analysis zonesLaunching in Germany, France, Brazil, USSeparate 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.

GovernmentEnterpriseTrip Data

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2016 HERE | Product Marketing | Company confidential 21