Key Success Factors for Connected Vehicle, Ride-share and Multi-Modal Transportation Models
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Tim Evavold, Covisint's Director of Connected Car and Dealer Ecosystems covers the technical, security and privacy considerations of ridesharing and multi-modal transportation when using connected vehicles.
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Key Success Factors for Connected Vehicle, Ride-share and Multi-Modal Transportation Models
- 1. 1/7/2016 1 Key Success Factors for Connected Vehicle, Ride-Share, and Multi-Modal Transportation Models Presented by: Tim Evavold, Director Connected Car & Dealer Ecosystems January, 2016
- 2. The World is Changing – Multiple Personas 1 Car 1 Owner Then 1 Car 1 Owner Now Many Drivers Many Users
- 3. 1 Person 1 Mode Then Destination 1 Person Car Now Destination Bus Train Car Share The World is Changing – Multi-Modal
- 4. Big Challenges • Device Access Varies • Device • Brand • Manufacturer • Time Consuming and Complex to Set Up • Complexity Builds Exponentially • More endpoints – More Vulnerability • Multiple Stakeholders – Multiple Objectives
- 5. Keys to Success in a Changing World • Identity Relationship Frameworks • Move from Vehicle Centric Design to Context Centric Design • Ecosystem Interoperability • Lifecycle Management
- 7. Identity Frameworks Mobile Devices Drivers Creates identity issues and prevents agility for Future programs Car Owner Current Future Owner Apps Apps Head Unit Owner’s Car Child’s Car Child Mobile Devices Mobile Devices
- 8. Identity Relationship Framework Simplifies the ability to maintain information about people, objects and links between them • Increases Security • Authentication – Only valid people can talk to valid devices • Authorization – Only valid actions can be executed • Increases Usability • Each person controls their identity and information • Relationships self detect and receive confirmation from owner • As rules change, change them in one place (vs. every end point) • Increases Personalization • As identities and/or events come together, they create treatment trigger points
- 10. Connected Car – Offers Extensive Benefits To Multiple Stakeholders OTA SW Update Telemetry Usage data Component Telemetry Commands Personalized Experience Content Notifications Operational Health Vehicle Driver/ Passenger Commands DSC Rep Telemetry Diagnostics Operational Data Usage Data Customer Data OTA SW Update Commands Part Supplier DSC Manager Auto OEM Vehicle Designer 10 VAS Provider Value Added Services Usage Auto OEM Notifications Service Offers Operational Data Customer Data
- 11. Goal is to provide Platform to enable True Consumer Experience
- 12. Context Centric Design • Focus on solution frameworks vs. Vehicle technology • You “Can’t be everything to everyone” • Embrace Openness (with Control) • Leverage an interoperability approach • Transformational Data Orchestration • Modular Business Logic Framework • Identity Framework • Flexible Content Driven Visualization
- 14. What is IoT Ecosystem? IoT Ecosystem People Systems Processes Things/Devices IoT Ecosystem is a business context allowing enterprises to aggregate people, systems, processes and things. The unique business context under which the interaction across people, processes, systems and things allow enterprises to access and share information securely across business entities. Onboarding, provisioning and ability to manage across people, processes, systems dynamically and things create a unique value proposition
- 15. Ecosystem Interoperability Personalization • User Preferences • Lifestyle Preferences • Radio Presets • Travel Unlimited Triggers • Location • Speed • Sensors • Database (Status Updates, Profiles, etc.) • Time • Rules Access Management • SSO • Trust and Federation • Identity Management • Security Auditing • Tokens • PKI • Monitoring Identity Lifecycle • User mgt. • Credential Mgt • Identity Integration • Provisioning Deprovisioning Unlimited Content Integration • User Generated • Social Networks • Ecommerce • Corporate • Collaboration • Others… “IoT CLOUD”
- 17. Lifecycle Management Identify Register Connect ExtractSynthesize Derive Sustain • THING Identity management • Fine grained authorization • Data security and access rules • Data Governance • Multifactor Authentication • RFID, NFC support for Authentication • Rules based Authorization • Event Based History • Pre-defined and Custom defined Lifecycle events • Many-to-Many Relationship Model
- 18. Lifecycle Management Enables • Capture entire history of Things and their Ecosystems throughout their lifecycle • Ability to REPLAY a specific Thing, or an Ecosystem to simulate events that led to critical business scenarios • Health monitoring • Diagnostics / Root Cause Analysis • Innovation Simulation • Ability to do Comparative Analytics and Big Data Analytics at any point in time providing broader business insight • Provide insight into major security threats and security flaws • Ability to apply dynamic rules to devices for specific lifecycle events