bharat venkataraman
TRANSCRIPT
1 © 2018 TomTom. All rights reserved. Confidential information.
Bharat Venkataraman
Manager Business Development
TomTom North America Inc.
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2.1 Billion km every day
550+
21
400
MILLION CONNECTED DEVICES ACROSS THE WORLD
BILLION NEW DATA POINTS EVERY DAY
TERABYTES OF HISTORICAL DATA
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TOMTOM TRAFFIC AUTOMOTIVE CUSTOMERS
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OUR STORY
We are a pioneer of GPS probe-based solutions, and our solutions,
complement & maximize infrastructure-based solutions
• Maximizing utilization of existing infrastructure, making it efficient
• Integrate your data, and process this with TomTom GPS probe data to
deliver actionable results
• Deliver these results within a short time period of project commencement
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Case Study:
National Renewable Energy Labs
- Traffic Volume Estimation
On-going Study
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Weather Information
14 ATR locations
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10
3
4
50
4 10338
750
7
51
0 51
110502950
3
50
1
50
6
51
2
105548
12
ATR station
VOLUME ESTIMATION ON FREEWAYS
Inputs Methodology
8% - 12% Penetration Rate
52,092 observations
2 months of observations
Road Characteristics
Infrastructure Based
3 Machine Learning Models
13 Stations for Training
1 group for Validation
14 times of iteration
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VOLUME ESTIMATION ON FREEWAYS
Inputs
Hourly average speed
Hourly probe count
Only included present hrs.
GPS Probe Based
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TomTom Traffic Data
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VOLUME ESTIMATION ON FREEWAYS
MAPE (Mean Absolute Percentage Error)
ETCR (Error to Theoretical Capacity Ratio)
𝑅2 (Coefficient of Determination)
Overall MAPE Overall ETCR Median 𝑅2
Infrastructure based 39.4% 12.4% 0.65
Infrastructure + GPS based 17.7% 5.3% 0.91
MAPE ~60% reduction
ETCR ~30% reduction
𝑅2 ~10% increase
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Weather Information
359 ATR locations
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VOLUME ESTIMATION ON LOWER ROAD CLASS
Inputs Methodology
~3% Penetration Rate
30,096 observations
9 months of observations
Road Characteristics
Infrastructure Based
3 Machine Learning Models
9 groups for Training
1 group for Validation
10 times of iteration
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On-going Study
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VOLUME ESTIMATION ON LOWER ROAD CLASS
MAPE (Mean Absolute Percentage Error)
Overall MAPE
Infrastructure based 50.6%
Infrastructure + GPS based TBD
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TRAFFIC PORTFOLIO
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APPLICATIONSAS A SERVICE
DATA AS A SERVICE
MONITORING
COMMUNITY INPUT
ARCHIVE ANALYTICS
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Keep or remove all fleet data
devices from the analysis
Fleet data is based on TomTom
Telematics and 3rd party sources
Fleet management consists of
different types of commercial
vehicles, such as delivery vans,
trucks and taxis
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Get focused information
per segments in the route
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Compare pre-defined routes as you monitor Real-
Time Traffic Flow conditions.
Communicate current alternative route options to a
broader audience through VMS API connectivity
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GOVERNMENT PARTNERSHIP PROGRAMCOMMUNICATE WITH ROAD USERS DIRECTLY IN THEIR CARS
Report an incident or
planned road disruption
Validation by our Traffic
Fusion Engine
Alert sent out to TomTom
Traffic users
With our easy to use,
web based interface
Submissions analysed in
real timeEnabling re-routing of
drivers
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EMERGENCY
SERVICES
• Police, Fire & Ambulance
dispatch
• Preferred routes to key
areas
• Alternative solutions
EVENT
PRODUCTION
• Olympic games, football
matches, big concerts
• Monitor key access
• Facilitate traffic jam on the
surroundings
PUBLIC
INFORMATION
• Deliver traffic information to
a broader audience
• VMS, web & mobile, radio &
TV
HIGHWAY
AUTHORITIES
• Monitoring and controlling
traffic dynamics
• Managing capacity and
traffic volume
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DELIVERY
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WEB APPAPIs
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TomTom North America
100 Century Center Ct.
St# 330
San Jose, CA, USA
www.tomtom.com
©2018 TomTom Traffic B.V.
This document provides information regarding the products and/or services of TomTom Traffic B.V. or any of its subsidiaries (“TomTom”). The content is confidential and subject to change. Any disclosure to a third party is subject to
TomTom’s non-disclosure agreement. It is strictly forbidden to disclose or use the document or its content without the prior approval of TomTom.
Email: [email protected]: +1 603-306-1994