Design Methodologies for Real-Time Embedded Systems in Transportation

Abstract

The growing complexity of transportation systems necessitates the integration of real-time embedded systems to ensure safe, efficient, and intelligent mobility solutions. These systems are foundational in applications such as autonomous vehicles, traffic signal control, and railway automation. This article explores contemporary design methodologies, emphasizing real-time scheduling, system partitioning, and safety-critical design patterns. Model-based development, hardware-software co-design, and formal verification techniques are analyzed to address latency, determinism, and system reliability. The paper also highlights case studies from automotive and smart traffic infrastructure to illustrate the practical implementation of these design approaches.