Model Based System Engineering

Chapter 8Case Study

8.1 Overview

In the field of complex systems engineering, striking a balance between new ideas and safety is a tough task, especially with rapidly evolving technology such as autonomous cars. Model-based systems engineering (MBSE) provides a useful framework for managing these difficulties, enabling more effective, collaborative, and thorough methods for system design and development. Through its emphasis on models as central artifacts, MBSE promotes:

• Enhanced Communication and Collaboration: Providing a common language and visual representation of the system, fostering shared understanding among diverse stakeholders (as discussed in Chapter 3).
• Faster Development Cycles: Enabling early validation and iterative refinement of design decisions through simulation and analysis (as discussed in Chapter 4).
• Reduced Development Costs: Minimizing the risk of costly errors and rework by identifying potential issues in the early stages (as discussed in Chapter 2).
• Improved System Quality: Enhancing the consistency, traceability, and verifiability of the system design, contributing to higher overall quality (as discussed in Chapter 5).

However, the inherent complexities of designing autonomous mobility solutions raise several challenges:

• Capturing Diverse Perspectives: Ensuring a shared understanding among stakeholders with diverse knowledge, expertise, and priorities.
• Anticipating Emergent Behaviors: Modeling the complex interactions between autonomous vehicles, ...