Energy-Efficient Train Operation: A System Approach for Railway Networks (Lecture Notes in Mobility)

This book is closely related to the energy conservation problem of rail transport systems, focusing on reducing the energy consumption of train operation. The system process of train operation is analyzed and the relationship between train operation and energy consumption is introduced. The fundamental theories, modelling and application of technologies for energy-efficient train driving are presented, discussing timely topics such as energy-efficient train control and timetabling, integrated timetabling and regenerative braking, and maximizing regenerated energy usage with energy storage systems. In addition, the modelling and application of a traction power simulation platform is introduced, to calculate the detailed energy flow over a railway network. The book is enriched with a set of practical examples to illustrate the performance of the proposed methods in improving energy efficiency of both urban and long-distance trains. Overall, the book provides a timely guide to professionals in the railway industry, and to researchers and graduate students in transport, electrical and control engineering.

Shuai Su is a full Professor and the deputy director of the Frontier Science Center of the Smart High-Speed Rail System at Beijing Jiaotong University. He received Ph.D. degree from the Beijing Jiaotong University, Beijing, China, in 2016. His current research interests include energy-efficient operation and control in railway systems and intelligent train control and dispatching, such as timetable optimization, optimal driving strategy, and rescheduling. He has led projects concentrating on improving the energy efficiency of train operations. The related research has been implemented in more than 20 urban rail lines in China and is expanding to the ATO system in high-speed railway. Moreover, he is a senior member of the Chinese Association of Automation and also a member of the TRB Annual Rail Transit systems Committee.

Zhongbei Tian is an Assistant Professor at the School of Engineering, the University of Birmingham, leading Railway Power Systems Research at the Birmingham Centre for Railway Research and Education (BCRRE). Dr Tian received the BEng degree in Electrical Engineering at Huazhong University of Science and Technology, and PhD degree at the University of Birmingham. His research interests include railway traction power system modelling and analysis, energy-efficient train control, energy system optimisation, and sustainable transport energy systems integration and management. He has been leading on a number of projects funded by EPSRC, Royal Society, Horizon 2020, Network Rail, RSSB, and Innovate UK. His research has been implemented in projects across the world, including Network Rail, Edinburgh Tram in the UK, Madrid Metro in Spain, SMRT in Singapore, Beijing and Guangzhou Metro in China.

Rob Goverde is a Professor of Railway Traffic Management & Operations, and Director of the Digital Rail Traffic Lab at Delft University of Technology. Goverde has an MSc in Mathematics from Utrecht University (1993), an Engineering Doctorate (EngD) in Mathematical Modelling and Decision Support from Delft University of Technology (1996), and a PhD in Railway Operations from Delft University of Technology (2005). He cooperated in many European railway research projects. His research concentrates around the planning and management of railway traffic systems, including railway timetable optimization, railway traffic management, automatic train operation, train control and railway signalling. He is Editor-in-Chief of the Journal of Rail Transport Planning & Management, President of the International Association of Railway Operations Research (IAROR), and Fellow of the Institution of Railway Signal Engineers (FIRSE).