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Development of a Software-Defined Vehicle (SDV) Architecture for Legacy System Integration and Regulatory Compliance
  1. case
  2. Development of a Software-Defined Vehicle (SDV) Architecture for Legacy System Integration and Regulatory Compliance

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Development of a Software-Defined Vehicle (SDV) Architecture for Legacy System Integration and Regulatory Compliance

grapeup.com
Automotive
Information technology

Legacy System Inefficiencies and Regulatory Compliance Challenges

The client operates outdated legacy systems for vehicle communication, maintenance, and reporting, resulting in high operational costs and inefficiencies. They must comply with stringent new regulations while transitioning to a unified Software-Defined Vehicle (SDV) architecture to remain competitive in the automotive industry.

About the Client

A leading bus manufacturing company seeking to modernize legacy systems and comply with new industry regulations through advanced software-defined vehicle solutions.

Key Goals for SDV Architecture Implementation

  • Consolidate legacy systems into a single SDV platform
  • Ensure compliance with emerging regulatory standards
  • Improve operational efficiency and scalability
  • Enable data-driven decision-making through analytics
  • Support future-proof architecture for long-term adaptability

Core System Functionalities and Features

  • Legacy system integration with SDV framework
  • Digital twin implementation for vehicle data modeling
  • Regulatory compliance management dashboard
  • Analytics engine for fleet optimization
  • Proof of Concept (PoC) validation framework

Target Technologies

Cloud-native architecture (AWS/Azure)
Digital twin platforms
Event-driven microservices
Containerization (Kubernetes/Docker)
API gateways for system integration

Critical System Integrations

  • Legacy vehicle communication systems
  • Third-party analytics tools (Google Analytics, HotJar)
  • Regulatory compliance databases
  • Fleet management software

Non-Functional Requirements

  • High scalability for future vehicle models
  • Low-latency data processing
  • End-to-end encryption for regulatory compliance
  • 99.9% system uptime SLA
  • Cross-platform interoperability

Expected Business and Operational Impact

The proposed SDV architecture will reduce operational costs by consolidating legacy systems, ensure compliance with new regulations for market access, and enhance scalability for future growth. The unified technology stack will streamline maintenance, while integrated analytics will enable data-driven fleet optimization, positioning the client as a leader in compliant, software-driven bus manufacturing.

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