Modeling and Simulation of Intelligent Transportation Systems The development of intelligent transportation systems (ITS) has been a major focus of research and innovation in recent years, driven by the increasing demand for efficient, safe, and sustainable transportation solutions. The integration of various technologies such as sensors, communication systems, and artificial intelligence (AI) into vehicles and infrastructure has led to the creation of complex systems that require careful modeling and simulation to ensure their proper functioning. This book provides an overview of the current state of ITS research, highlighting the key challenges and opportunities in this field, and presents a comprehensive framework for modeling and simulating these systems. The need to study and understand the process of technology evolution The rapid pace of technological advancements in the field of ITS has created a pressing need for researchers and practitioners to understand the underlying processes driving this evolution. As new technologies are developed and integrated into existing systems, it is essential to study and analyze the impact of these changes on the overall performance of the system. This requires a deep understanding of the interdependencies between different components and the ability to predict how they will interact with each other in real-world scenarios. One of the primary challenges in ITS is the sheer complexity of the systems being developed. With multiple sensors, communication protocols, and AI algorithms working together, there are countless possibilities for how these systems can behave in different situations. Modeling and simulation provide a powerful tool for exploring these possibilities and identifying potential issues before they become problems in the real world.

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