Subway Energy-Efficient Management

ISBN-13: 9789811577871 / Angielski / Miękka / 2021 / 128 str.

Xiang Li;Xin Yang

Opis

This book provides a comprehensive presentation on energy-efficient management in urban rail transit system via operations research and uncertain optimization methods. It is suitable for researchers, engineers, and students in the fields of transport management. The readers will learn numerous new modeling ideas on reducing tractive energy consumption and improving regenerative energy utilization, and find this work a useful reference.

Spis treści

​Chapter1 Literature Overview.- Chapter2 Energy-Ecient Speed Control.- Chapter3 Timetabling with Overlapping Time Maximization.- Chapter4 Timetabling with Regenerative Energy Maximization.- Chapter5 Integrated Speed Control and Timetable Optimization.- Chapter6 Dynamic Speed Control and Timetable Optimization.- Chapter7 Stochastic Speed Control and Timetable Optimization.

O autorze

Xiang Li received the Ph.D. degree from Tsinghua University in 2008. He is currently a full professor with School of Economics and Management, Beijing University of Chemical Technology. His research interests include transport management, optimization under uncertainty, big data analytics, and so on. He has authored one book and more than 80 articles on international journals. He served as the co-editor in chief of Journal of Data, Information and Management, associate editor of Information Sciences, Transportmetrica B, and so on.

Xin Yang received the Ph.D. degree from Beijing Jiaotong University in 2016. He is currently an associate professor in the State Key Laboratory of Rail Traffic Control and Safety at Beijing Jiaotong University. His current research interests include transport management, rail transit optimization, energy-efficient train operation, and so on. He has authored/co- authored more than 30 articles on international journals. 

Blurb

This book provides a comprehensive presentation on energy-efficient management in subway system via operations research and uncertain optimization methods. It is suitable for researchers, engineers, and students in the fields of transport management. The readers will learn numerous new modeling ideas on reducing traction energy consumption and improving regenerative energy utilization, and find this work a useful reference.