Modular framework for dashboard integration in software-defined vehicles using service-oriented architecture

Abstract

This dissertation explores the development and integration of a modular framework for automotive dashboard design, a critical area in electrical engineering and automotive technology. The increasing complexity and functionality of modern vehicle dashboards necessitate robust design and integration methods to ensure safety, reliability, and user satisfaction. This research sets out to address these needs by proposing an innovative framework designed to enhance the efficiency and effectiveness of dashboard integration processes. The proposed framework introduces a modular, service-oriented architecture that incorporates real-time data processing and user-centered design principles. Its uniqueness lies in its ability to seamlessly integrate various dashboard components, ensuring compatibility and performance across diverse automotive platforms. By focusing on scalability and adaptability, the framework aims to accommodate future technological advancements, making it a forward-thinking solution in dashboard testing. Key challenges addressed include overcoming system compatibility issues, managing complex data integration, and ensuring the real-time performance of dashboard features. These challenges are prevalent in existing practices, where limitations in testing methodologies can hinder the effective deployment of advanced dashboard functionalities. The primary objectives of this research are to demonstrate the framework’s capacity to streamline the integration process, improve the accuracy and speed of dashboard development, and enhance the overall user interface experience. By achieving these goals, the framework aims to set new standards in dashboard design, contributing significantly to the field of automotive technology. In conclusion, the expected outcomes of this research include the establishment of a robust modular framework that not only meets current industry needs but also anticipates future demands. This contribution is anticipated to advance the state of the art in automotive dashboard systems, providing a scalable and efficient approach to dashboard integration that can be adopted widely in the industry.