دانلود کتاب فناوری خودروهای سنگین خودران و متصل

The main technological areas that are facilitating today’s autonomous and connected heavy vehicle technology (AC-HVT) are vehicle sensor technology, vehicle communication technology, and vehicle software and hardware integration. The applications emerging from AC-HVT include driver alert systems, lane guidance, collision avoidance systems, automatic braking systems, platooning, eco-driving, blind spot detection, and cruise control. However, serious technical challenges have arisen related to sensor quality, data handling, bandwidth allocation, communication protocols and standards, resource constraints, data processing, and controlling software systems. These challenges are being met through enabling technologies such as cyberphysical systems, cloud computing, big data, fog computing, blockchain, data analytics, artificial intelligence, and pervasive computing. In the past decades, vehicle technologies were more focused on passenger-based vehicles, but in recent years the development and enhancement of heavy vehicle technologies (HVTs), including heavy freight vehicles and commercial truck vehicles, have gained more attention. The reasons behind this are that these heavy vehicles significantly contribute to economic growth and have a high return on investment (ROI). In addition, adverse environmental impacts like air pollution, carbon footprint, fuel economy, and fatal accidents necessitate more research and development in HVT. Thus autonomous and connected vehicle technologies are emerging opportunities in the heavy vehicle industry, complicated by issues related to greater urbanization, insurance, security, and privacy. This book provides a comprehensive text and reference covering the fundamentals, definitions, approaches, standards, and future developments in autonomous and connected heavy vehicle technology. It provides up-to-date knowledge of various issues in heavy vehicle technology and discusses solutions for autonomous, connected, and cognitive applications through the convergence of big data, IoT, cloud computing, cyberphysical systems, and cognitive analysis.