Connected Cars and Automotive Data Systems

Connected Cars and Automotive Data Systems represent a convergence of transportation technology and applied data science, where vehicles are equipped with internet connectivity to communicate with other vehicles (V2V), infrastructure (V2I), and cloud-based services. These vehicles generate vast streams of real-time data from onboard sensors, GPS, and user interactions, which are then collected, processed, and analyzed by sophisticated automotive data systems. The primary goals are to enhance driver safety through collision avoidance and emergency response, improve traffic efficiency by optimizing routes and flow, enable advanced infotainment and telematics services, and support the development of autonomous driving technologies.

1. Introduction to Connected Cars
   1. Defining the Connected Car
      1. Basic Characteristics
      2. Always-On Connectivity
      3. Data Generation and Exchange
      4. Remote Monitoring Capabilities
      5. Differentiation from Traditional Vehicles
      6. Connectivity Features
      7. Data Processing Capabilities
      8. Remote Service Access
   2. Evolution of Automotive Connectivity
      1. Early Telematics Systems
      2. OnStar and Pioneer Services
      3. Basic Emergency Services
      4. GPS Navigation Integration
      5. Transition to Internet Connectivity
      6. Smartphone Integration Era
      7. Cloud-Based Services Introduction
      8. Modern Connected Platforms
      9. App Ecosystems
      10. Over-the-Air Update Capabilities
   3. Key Concepts and Terminology
      1. Telematics
      2. Vehicle Tracking Systems
      3. Fleet Management Applications
      4. Remote Diagnostics
      5. Infotainment Systems
      6. Entertainment Features
      7. Navigation Systems
      8. Communication Interfaces
      9. Vehicle-to-Everything Communication
      10. V2X Ecosystem Overview
      11. Communication Types
      12. Safety Applications
      13. Over-the-Air Updates
      14. Software Distribution Methods
      15. Update Management
      16. Security Considerations
   4. Market Drivers and Industry Impact
      1. Consumer Demand Factors
      2. Convenience Expectations
      3. Safety Requirements
      4. Entertainment Needs
      5. Regulatory Requirements
      6. Safety Mandates
      7. Environmental Regulations
      8. Data Protection Laws
      9. Business Model Transformation
      10. Service-Based Revenue Models
      11. Data Monetization Opportunities
      12. Partnership Ecosystems