Smart Vehicle Overview and Data Service Provisioning

Kenny Huang, Ph.D. 黃勝雄博士

Executive Council Member, APNIC

Member, Board of Directors, Mind Extension

huangksh@gmail.com

Gartner’s 2014 Hype Cycle for Emerging Technologies Maps the Journey to Digital Business

2

Source : Gartner, 2014

Gartner’s Forecast

Connected Vehicle Market Outlook

3

250 million vehicles will be connected globally by 2020 the number of installed connectivity units in vehicles

worldwide increasing by 67 percent consumer spend on in-vehicle connectivity doubling

Source : Gartner, 2014

smartphones on wheels will be a norm

V2I : Vehicle to Infrastructure

V2V : Vehicle to VehicleV2M: Vehicle to Mobile

* Legislative requirements

Emergency Protocol for Vehicle Incident

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EU Legislation:All cars will be fitted with an eCall-equipped chip by 2018 that will automatically contact the nearest emergency centre in case of a collision

Source : European Commission

IoT Value Capture Tendencies

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Source : Michael E. Raynor, Jul 2015

Hobson’s choiceAutomotive insurance

GridlockSmart Home

All’s wellVehicle diagnostics

Customer is kingConnected retail

Customer value capture

Co

mp

any

valu

e ca

ptu

re

Lower Higher

Higher

Information Value Loop for Connected Vehicles

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Source : Michael E. Raynor, Jul 2015

Evolution of Connected Vehicle

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The embedded era1995-2002e.g. GM OnStar

The infotainment era2007-2012e.g. Ford SYNC, GM MyLink

The V2X era2012 - ongoinge.g. Tesla app, Nissan

New mobility era2020 - ongoinge.g. Tesla, Google

Source : Simon Ninan, 2015; Edited by Dr. Kenny Huang

1

2

3

4

The Embedded Era (1996)

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a phone embedded in the vehicle, responsible for communicating information wirelessly to a telematics service provider (TSP)

Source : Simon Ninan 2015; Edited by Dr. Kenny Huang

V2I & V2V

The Infotainment Era (2007)

using a phone’s cellular connection to stream data to the vehicle via Bluetooth

The V2X Era (2012)

Data sharing between vehicle and outside world

New Mobility Era (2020)

Self-driving car: GPS, sensors (radar, camera, sonar, laser), AI software, hardware integration(accelerating, braking, and steering)

V2M

V2M

Progression of Automated Vehicle Technologies

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Auto-lock breakers Cruise control

Pre 1990

Electronic stability control Adaptive cruise control Lane departure warming system Intelligent parking assist systems Autonomous emergency breaking Lane keeping assist

1990 to 2010

Traffic jam assist Automated valet parking Automated highway driving

2010 to 2020

Fully automated vehicles

2020 +

Source : UK Government; Edited by Dr. Kenny Huang

Design of Vehicle Sensor

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Source : CISCO

Google Self-Driving Car Project

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Source : Google (n.d.)

Roadside Computing

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Source : CISCO

Roadside multi-purpose equipment based on convergence of routing, computing, and wireless technologies.

Distributed, multi-tenancy computing model

Support multiple wireless technologies Type of traffic

Regulate traffic Collect tolls taxes E-Commerce Content delivery Sensor traffic

Cars, IP addresses and Mobile Phones in Taiwan

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6750169

6768281

6726916

6769845

6876515

7053082

7206770

7367522

7554319

7718118

16619520

18146048

22245632

27102208

31925760

35381504

35394048

35405568

35472128

35490304

2324926224286961 25412514

2695877227839527

28865331

29455219

29709670

30358368

30358368

0

5000000

10000000

15000000

20000000

25000000

30000000

35000000

40000000

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015

Number of Cars IP Addresses Mobile Phones

25.4%24.9%24.8%24.5%24.4%

Car/Mobile %

Source: MOTC;NCC; ITU; TWNIC; Edited by Dr. Kenny Huang

Connected Vehicle Apps and Data Usage

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Application References Data Usage

InfotainmentWeb radio BMW, Mercedes Benz, Tesla 32kbps

Online music BMW, Mercedes Benz, Tesla 32kbps – 128kbps

Navigation GPS navigation Google Map 20kbps-40kbps

Regulation Emergency messaging EU eCall Chip out-of-band

AutomationDriverless car Google Self-Driving car

n.a. (in-band & out-of-band)

Remote control (on/off) BMW, Mercedes Benz, Tesla <1kbps per action

Communication Car phone Bluetooth speaker out-of-band

*Estimated Aggregated Data Usage for a Connected Vehicle <100Kbps

Source : Dr. Kenny Huang * driverless car excluded

Data Analysis

Initial Data Set

Vehicle units is 25.4% of Mobile units, 21.7% of TW IP addresses (MOTC,

NCC, ITU, TWNIC)

Average mobile data rate : 6.27Mbps (NCC @2015 Q3)

Aggregated data usage for a connected vehicle is less than 100kbps (Dr.

Kenny Huang)

Aggregated data usage for a connected vehicle is 1.6% of mobile data usage

Data Service Provisioning for Connected Vehicles

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IP address consumption of connected vehicles is insignificant for the allocated address pool (21.7%)

Data usage of connected vehicles has no impact to the existing mobile data traffic (1.6%).

Existing operators’ service provisioning is adequate for the segment of connected vehicles without additional CapEx and OpEx allocation

Open Access to Cars for Everyone

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Source : UK Government

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Source : Cartoonstock