Unmanned Driving Systems for Smart Trains
Unmanned Driving Systems for Smart Trains by Hui Liu, published by Elsevier Science on November 18, 2020, is a comprehensive exploration of the technologies that underpin unmanned driving systems for smart railways and trains. This 376-page volume delves into foundational theories and the latest advancements in the field, providing a structured overview of key technologies and research results.
Readers will find detailed discussions across seven chapters that cover essential topics such as performance evaluation, algorithm-based reasoning, and energy-saving optimization. Each chapter includes practical cases that connect theoretical concepts to real-world applications, making it a valuable resource for researchers seeking solutions in the development of unmanned driving systems. The book emphasizes the integration of intelligent algorithms and data processing, contributing to the ongoing evolution of smart train technology.
Official synopsis Publisher
Unmanned Driving Systems for Smart Trains explores the core technologies involved in unmanned driving systems for smart railways and trains, from foundational theory to the latest advances. The volume introduces the key technologies, research results and frontiers of the field. Each chapter includes practical cases to ground theory in practice. Seven chapters cover key aspects of unmanned driving systems for smart trains, including performance evaluation, algorithm-based reasoning and learning strategy, main control parameters, data mining and processing, energy saving optimization and control, and intelligent algorithm simulation platforms. This book will help researchers find solutions in developing better unmanned driving systems.
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