دانلود کتاب سیستم‌های حمل و نقل مبتنی بر هوش مصنوعی، برنامه‌های کاربردی بلادرنگ و فناوری‌های مرتبط

Artificial Intelligence (AI) stands at the forefront of technological advancement, offering unparalleled breakthroughs and transformative potential. As urban populations grow and the demand for mobility escalates, transportation systems face numerous challenges, including safety concerns, persistent congestion, real-time processing, security, data privacy, and environmental issues (i.e., high emissions). Intelligent Transportation Systems (ITS) have emerged as a solution to these challenges, offering innovative ways to optimize transportation networks. We are now at the dawn of a new era where AI is revolutionizing transportation. By integrating AI into transportation systems, AI-driven vehicles and systems analyze vast amounts of historical and real-time data, enabling informed travel decisions, providing real-time updates, and optimizing traffic management to improve network efficiency. Imagine a system where AI is embedded at the heart of every journey: predictive algorithms that anticipate and mitigate congestion before it occurs, re-routing traffic for optimal flow. Recent advancements in ITS rely on AI-driven algorithms such as machine learning (ML), deep neural networks (DNNs), and reinforcement learning (RL), which enhance safety, sustainability, and efficiency. These technologies empower transportation systems to make data-driven decisions, monitor traffic in real-time, and create smarter, more connected networks, paving the way for the future of transportation. The book AI-Driven Transportation Systems: Real-Time Applications and Related Technologies delves into the dynamic integration of AI and ITS, highlighting the potential and challenges of bridging the gap between traditional transportation methods and modern AI techniques. It provides an in-depth examination of cuttingedge technologies, such as AI and the Internet of Things (IoT), showcasing their transformative impact on smart transportation systems. This book covers key concepts, strategies, and real-time applications, addressing critical concerns (i.e., security, smart parking, accident detection, intelligent routing, and traffic management). Ultimately, its goal is to improve driving efficiency, reduce congestion, and optimize network performance. This book offers a forward-looking perspective on how these technologies will shape the future of ITS, positioning it as an essential resource for researchers, engineers, academics, and technology enthusiasts alike. We invite you to explore the innovative solutions, research studies, and multidisciplinary collaborations that characterize the cutting edge of AI and smart transportation research. Representing the collective expertise of a diverse group of authors and contributors, this book offers unique insights and perspectives on the field. We hope it serves not only as a comprehensive guide to the current landscape of AI-driven ITS but also as a source of inspiration for future innovations in this exciting domain. May these contributions inspire further research, collaboration, and breakthroughs in the rapidly evolving field of AI and smart transportation systems. We thank our readers for their interest and invite you to embark on a journey into the fascinating world of AI-driven ITS.