@article{754952,
      recid = {754952},
      author = {Wang, Yihui, and Ning, B. and Boom, Ton van den, and  Schutter, B. de,},
      title = {Optimal trajectory planning and train scheduling for urban  rail transit systems [electronic resource] /},
      pages = {1 online resource (xxi, 180 pages) :},
      abstract = {This book contributes to making urban rail transport fast,  punctual and energy-efficient ?significant factors in the  importance of public transportation systems to economic,  environmental and social requirements at both municipal and  national levels. It proposes new methods for shortening  passenger travel times and for reducing energy consumption,  addressing two major topics: (1) train trajectory planning:  the authors derive a nonlinear model for the operation of  trains and present several approaches for calculating  optimal and energy-efficient trajectories within a given  schedule; and (2) train scheduling: the authors develop a  train scheduling model for urban rail systems and  optimization approaches with which to balance total  passenger travel time with energy efficiency and other  costs to the operator. 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. Advances in Industrial Control aims to  report and encourage the transfer of technology in control  engineering. The rapid development of control technology  has an impact on all areas of the control discipline. The  series offers an opportunity for researchers to present an  extended exposition of new work in all aspects of  industrial control.},
      url = {http://library.usi.edu/record/754952},
      doi = {https://doi.org/10.1007/978-3-319-30889-0},
}