Описание книги
During the last decade, developments in smart cars, mobile devices, internet of things and vehicular communications are revolutionizing the future of smart cities. With the rapid integration of these smart devices into our surroundings, we are heading to a new era of a highly connected and environmentally friendly ecosystem.This book offers a unique opportunity for the reader to explore state-of-the-art developments in applications, technologies (e.g., Big Data and artificial intelligence), services and research trends in smart mobility for smart cities. It also provides a reference for professionals and researchers in the areas of smart mobility (e.g., autonomous valet parking, passenger trajectory data, smart traffic control systems) and recent technical trends on their enabling technologies. The materials have been carefully selected to reflect the latest developments in the field with many novel contributions from academics and industry experts from around the world.<b>Contents:</b> <ul><li>Preface</li><li>About the Editors</li><li>Acknowledgments</li><li>Smart Mobility: Challenges and Trends <i>(Ruizhi Liao)</i></li><li>Big Data and Artificial Intelligence for Communications in Smart Mobility <i>(Liang Zhao, Lexi Xu and Jiaxing Shang)</i></li><li>Adapting Future Vehicle Technologies for Smart Traffic Control Systems <i>(Dominic J Hodgkiss and Vinh Thong Ta)</i></li><li>Application of Mobile Signaling in Highway Traffic Network Monitoring <i>(Hongrun Gang, Li Fu and Yuting Luan)</i></li><li>Passenger Trajectory Generation Using Modern Datasets <i>(Xiaoyan Xie and Fabien Leurent)</i></li><li>Towards Autonomous Valet Parking: A Broader Prospective <i>(Muhammad Khalid, Yue Cao, Kezhi Wang, Piyush Dhawankar and Mohsin Raza)</i></li><li>Mobile Data Offloading for Smart Mobility in Heterogeneous Network <i>(Tong Wang, Xibo Wang, Guang Xin Yang and Yue Cao)</i></li><li>Exploring the Scalable Event-driven Load Balancer Using <i>Hybrid Intelligence</i> for Smart Paradigms <i>(Soumya Banerjee, Philipp Brune and Youakim Badr)</i></li><li>A User-Demand Privacy-Preserving Framework Based on Association Rules and Differential Privacy in Social Networks <i>(Chunliu Yan, Ziyi Ni, Bin Cao, Rongxing Lu, Shaohua Wu and Qinyu Zhang)</i></li><li>Index</li></ul><br><b>Readership:</b> Professionals and researchers in the areas of Smart Mobility (e.g., autonomous valet parking, passenger trajectory data, smart traffic control systems), general public interested in technological advances. Smart City;Smart Mobility;Traffic Control;Traffic Monitoring;Big Data;Intelligent Transport System (ITS);Internet of Things (IoT);Vehicular Communications;Network Optimisation;Autonomous Vehicles;Smart Parking;Security;User Privacy0<b>Key Features:</b><ul><li>This book is brought to you by authors from different backgrounds in academia and industry from around the world</li><li>The materials have been carefully selected to reflect the latest developments in the field with many novel contributions from the contributors</li></ul>