Wind Forecasting In Railway Engineering

Wind Forecasting in Railway Engineering

Wind Forecasting in Railway Engineering presents core and leading-edge technologies in wind forecasting for railway engineering. The title brings together wind speed forecasting and railway wind engineering, offering solutions from both fields. Key technologies are presented, along with theories, modeling steps and comparative analyses of forecasting technologies. Each chapter presents case studies and applications, including typical applications and key issues, analysis of wind field characteristics, optimization methods for the placement of a wind anemometer, single-point time series along railways, deep learning algorithms on single-point wind forecasting, reinforcement learning algorithms, ensemble single-point wind forecasting methods, spatial wind, and data-driven spatial-temporal wind forecasting algorithms. This important book offers practical solutions for railway safety, by bringing together the latest technologies in wind speed forecasting and railway wind engineering into a single volume. - Presents the core technologies and most advanced developments in wind forecasting for railway engineering - Gives case studies and experimental designs, demonstrating real-world applications - Introduces cutting-edge deep learning and reinforcement learning methods - Combines the latest thinking from wind engineering and railway engineering - Offers a complete solution to wind forecasting in railway engineering for the safety of running trains

Wind Forecasting in Railway Engineering

Advances and Applications in SmartRail, Traffic, and Transportation Engineering

This book is a collection of the original peer-reviewed conference papers presented at the 2024 2nd International Conference on SmartRail, Traffic, and Transportation Engineering, organized by Chongqing Jiaotong University and Southwest Jiaotong University. The conference will be held on 25-27 October 2024 in Chongqing, China. It covers topics including SmartRail systems, autonomous vehicles, energy efficiency, sustainable transportation, big data in transportation, and machine learning. Speakers discussed innovative technologies and strategies to improve the efficiency, reliability, and safety of rail networks while exploring the opportunities and challenges of integrating autonomous vehicles into existing transportation networks. It provides valuable insights into the latest developments and trends in transportation engineering and technology, with a focus on electrification and sustainable transportation. It serves as a valuable resource for professionals, researchers, and students working in the field.