Key success factors for connected vehicle, ride-share and Multimodal models

download Key success factors for connected vehicle, ride-share and Multimodal models

If you can't read please download the document

  • date post

  • Category


  • view

  • download


Embed Size (px)

Transcript of Key success factors for connected vehicle, ride-share and Multimodal models

PowerPoint Presentation

Key Success Factors for Connected Vehicle, Ride-Share, and Multi-Model Transportation Models

Presented by: Tim Evavold, Director Connected Car & Dealer EcosystemsJanuary, 2016



The World is Changing Multiple Personas1 Car1 OwnerThen

1 Car1 OwnerNow

Many Drivers

Many Users

1 Person1 ModeThenDestination

1 PersonCarNowDestination

BusTrainCar Share

The World is Changing Multi-Modal

Big ChallengesDevice Access VariesDeviceBrandManufacturerTime Consuming and Complex to Set UpComplexity Builds ExponentiallyMore endpoints More VulnerabilityMultiple Stakeholders Multiple Objectives

Keys to Success in a Changing World

Identity Relationship FrameworksMove from Vehicle Centric Design to Context Centric DesignEcosystem InteroperabilityLifecycle Management


Identity Relationship Framework

Identity FrameworksMobile DevicesDriversCreates identity issuesand prevents agility for Future programs




OwnerAppsAppsHead UnitOwners CarChilds CarChildMobile DevicesMobile Devices

Identity Relationship Framework Simplifies the ability to maintain information about people, objects and links between themIncreases SecurityAuthentication Only valid people can talk to valid devicesAuthorization Only valid actions can be executed Increases UsabilityEach person controls their identity and informationRelationships self detect and receive confirmation from ownerAs rules change, change them in one place (vs. every end point)Increases PersonalizationAs identities and/or events come together, they create treatment trigger points

Content Centric Design

Connected Car Offers Extensive Benefits To Multiple Stakeholders

OTASW UpdateTelemetryUsage dataComponent TelemetryCommandsPersonalized ExperienceContent NotificationsOperational HealthVehicle Driver/Passenger

CommandsDSC RepTelemetryDiagnosticsOperational DataUsage DataCustomer DataOTA SW UpdateCommandsPart SupplierDSC ManagerAuto OEM VehicleDesigner

10VAS Provider

Value Added ServicesUsageAuto OEM

NotificationsService OffersOperational DataCustomer Data


Goal is to provide Platform to enable True Consumer Experience

Context Centric DesignFocus on solution frameworks vs. Vehicle technologyYou Cant be everything to everyoneEmbrace Openness (with Control)Leverage an interoperability approachTransformational Data OrchestrationModular Business Logic FrameworkIdentity FrameworkFlexible Content Driven Visualization

Ecosystem Interoperability

What is IoT Ecosystem?IoT Ecosystem

PeopleSystemsProcessesThings/DevicesIoT 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

Ecosystem Interoperability

PersonalizationUser PreferencesLifestyle PreferencesRadio PresetsTravel

Unlimited Triggers

LocationSpeedSensorsDatabase (Status Updates, Profiles, etc.)TimeRules

Access Management

SSOTrust and FederationIdentity ManagementSecurity AuditingTokensPKIMonitoring

Identity Lifecycle

User mgt.Credential MgtIdentity IntegrationProvisioning Deprovisioning

Unlimited Content Integration

User GeneratedSocial NetworksEcommerceCorporateCollaborationOthers


Lifecycle Management

Lifecycle Management

SecurityRelationshipTransparencyAwarenessTHING Identity managementFine grained authorizationData security and access rulesData GovernanceMultifactor AuthenticationRFID, NFC support for AuthenticationRules based AuthorizationEvent Based HistoryPre-defined and Custom defined Lifecycle eventsMany-to-Many Relationship Model

Lifecycle Management EnablesCapture entire history of Things and their Ecosystems throughout their lifecycleAbility to REPLAY a specific Thing, or an Ecosystem to simulate events that led to critical business scenariosHealth monitoringDiagnostics / Root Cause AnalysisInnovation SimulationAbility to doComparative Analytics and Big Data Analytics at any point in time providing broader business insightProvide insight into major security threats and security flawsAbility to apply dynamic rules to devices for specific lifecycle events

Thank You!