Optimal Trajectory Planning and Train Scheduling for Urban Rail Transit Systems
Springer International Publishing (Verlag)
978-3-319-30888-3 (ISBN)
Mixed-integer linear programming and pseudospectral methods are among the new methods proposed for single- and multi-train systems for the solution of the nonlinear trajectory planning problem which involves constraints such as varying speed restrictions and maximum traction/braking force. Signaling systems and their effects are also accounted for in the trajectory planning model.
Origin-destination passenger demand is included in the model formulation for train scheduling. Iterative convex programming and efficient bi-level approaches are utilized in the solution of the train-scheduling problem. In addition, the splitting rates and route choices of passengers are also optimized from the system point of view.
The problems and solutions described in Optimal Trajectory Planning and Train Scheduling for Urban Rail Transit Systems will interest researchers studying public transport systems and logistics whether from an academic or practitioner background as well as providing a real application for anybody studying optimization theory and predictive control.Yihui Wang received the B.Sc in control engineering from the School of Electronic and Information Engineering, Beijing Jiaotong University in 2007. She became a Ph.D. student at Delft Center for Systems and Control, Delft University of Technology in September 2010 and obtained the Ph.D. degree in November, 2014. She is currently an assistant professor at the State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University. Her main research interests include train scheduling, energy-efficient train control, hybrid systems, and model predictive control. Bart De Schutter received the M.Sc. degree in electrotechnical and mechanical engineering and the Ph.D. degree in applied sciences (summa cum laude with congratulations of the examination jury) from the K.U.Leuven, Leuven, Belgium, in 1991 and 1996, respectively. He is currently a Full Professor with the Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands. His current research interests include the control of intelligent transportation systems, hybrid system control, and multiagent systems. Prof. De Schutter is an Associate Editor for Automatica and for the IEEE Transactions on Intelligent Transportation Systems.
Introduction.- Background: Train Operation and Scheduling.- Optimal Trajectory Planning for a Single Train.- Optimal Trajectory Planning for Multiple Trains.- OD-Independent Train Scheduling for an Urban Rail Transit Line.- OD-Dependent Train Scheduling for an Urban Rail Transit Line.- OD-Dependent Train Scheduling for an Urban Rail Transit Network.- Overview and Future Directions.- Appendix: A General Formulation of the Pseudospectral Method.
| Erscheinungsdatum | 08.10.2016 |
|---|---|
| Reihe/Serie | Advances in Industrial Control |
| Zusatzinfo | XXI, 180 p. 59 illus., 2 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie |
| Technik ► Bauwesen | |
| Technik ► Elektrotechnik / Energietechnik | |
| Schlagworte | Control • Engineering • Landscape/Regional and Urban Planning • Model Predictive Control • Optimization of Travel Time vs Operational Cost • Train Scheduling • Trajectory Planning for Trains • Transportation • Transportation Technology and Traffic Engineering • Urban Rail Systems |
| ISBN-10 | 3-319-30888-2 / 3319308882 |
| ISBN-13 | 978-3-319-30888-3 / 9783319308883 |
| Zustand | Neuware |
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