Bharat Venkataraman

1 © 2018 TomTom. All rights reserved. Confidential information.

Bharat Venkataraman

Manager Business Development

TomTom North America Inc.

2

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

© 2018 TomTom. All rights reserved. Confidential information.

TOMTOM TRAFFIC AUTOMOTIVE CUSTOMERS




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


7

Case Study:

National Renewable Energy Labs

- Traffic Volume Estimation

On-going Study


Weather Information

14 ATR locations

8

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


9


Inputs

Hourly average speed

Hourly probe count

Only included present hrs.

GPS Probe Based


TomTom Traffic Data

10


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


Weather Information

359 ATR locations

11

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


On-going Study

12

VOLUME ESTIMATION ON LOWER ROAD CLASS

MAPE (Mean Absolute Percentage Error)

Overall MAPE

Infrastructure based 50.6%

Infrastructure + GPS based TBD


13

TRAFFIC PORTFOLIO


© 2018 TomTom. All rights reserved. Confidential information. 14

APPLICATIONSAS A SERVICE

DATA AS A SERVICE

MONITORING

COMMUNITY INPUT

ARCHIVE ANALYTICS


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





Get focused information

per segments in the route


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


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


22

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


23

DELIVERY


24

WEB APPAPIs


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

http://www.tomtom.com/

mailto:[email protected]

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Bharat Venkataraman