Smart Vehicle and Data Service Provisioning
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The document provides an overview of smart vehicle and connected car technologies. It discusses: 1) Gartner forecasts of 250 million connected vehicles by 2020 with increasing connectivity units and consumer spend. 2) The evolution of connected vehicles from embedded systems in the 1990s to infotainment systems in the 2000s to V2X capabilities today and autonomous vehicles by 2020. 3) Key technologies that enable connected vehicles like vehicle sensors, roadside computing, and Google's self-driving car project. 4) The document analyzes initial data on vehicles, mobile phones, and IP addresses in Taiwan and estimates typical data usage of connected vehicle apps would be less than 100kbps, representing an insignificant portion of mobile data
Smart Vehicle and Data Service Provisioning
- 1. 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
- 2. Gartner’s 2014 Hype Cycle for Emerging Technologies Maps the Journey to Digital Business 2 Source : Gartner, 2014
- 3. 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 Vehicle V2M: Vehicle to Mobile * Legislative requirements
- 4. Emergency Protocol for Vehicle Incident 4 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
- 5. IoT Value Capture Tendencies 5 Source : Michael E. Raynor, Jul 2015 Hobson’s choice Automotive insurance Gridlock Smart Home All’s well Vehicle diagnostics Customer is king Connected retail Customer value capture Companyvaluecapture Lower Higher Higher
- 6. Information Value Loop for Connected Vehicles 6 Source : Michael E. Raynor, Jul 2015
- 7. Evolution of Connected Vehicle 7 The embedded era 1995-2002 e.g. GM OnStar The infotainment era 2007-2012 e.g. Ford SYNC, GM MyLink The V2X era 2012 - ongoing e.g. Tesla app, Nissan New mobility era 2020 - ongoing e.g. Tesla, Google Source : Simon Ninan, 2015; Edited by Dr. Kenny Huang 1 2 3 4
- 8. The Embedded Era (1996) 8 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
- 9. Progression of Automated Vehicle Technologies 9 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
- 10. Design of Vehicle Sensor 10 Source : CISCO
- 11. Google Self-Driving Car Project 11 Source : Google (n.d.)
- 12. Roadside Computing 12 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
- 13. Cars, IP addresses and Mobile Phones in Taiwan 13 6750169 6768281 6726916 6769845 6876515 7053082 7206770 7367522 7554319 7718118 16619520 18146048 22245632 27102208 31925760 35381504 35394048 35405568 35472128 35490304 23249262 24286961 25412514 26958772 27839527 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
- 14. Connected Vehicle Apps and Data Usage 14 Application References Data Usage Infotainment Web 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 Automation Driverless 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
- 15. 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 15 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
- 16. Open Access to Cars for Everyone 16 Source : UK Government