rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Optimal Trajectory Planning and Train Scheduling for Urban Rail Transit Systems
  name:
    name part: Wang, Yihui.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Ning, Bin.
    role:
      role term: author.
  name:
    name part: van den Boom, Ton.
    role:
      role term: author.
  name:
    name part: De Schutter, Bart.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXI, 180 p. 59 illus., 2 illus. in color. online resource.
  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. Th…
  table of contents: 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.
  note: by Yihui Wang, Bin Ning, Ton van den Boom, Bart De Schutter.
  subject:
    topic: Engineering
  subject:
    topic: Transportation
  subject:
    topic: Regional planning
  subject:
    topic: Urban planning
  subject:
    topic: Control engineering
  subject:
    topic: Transportation engineering
  subject:
    topic: Traffic engineering
  subject:
    topic: Engineering
  subject:
    topic: Control
  subject:
    topic: Transportation Technology and Traffic Engineering
  subject:
    topic: Landscape/Regional and Urban Planning
  subject:
    topic: Transportation
  classification: TJ212-225
  classification: 629.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advances in Industrial Control
  identifier: 9783319308890
  identifier: http://dx.doi.org/10.1007/978-3-319-30889-0
  record info:
    record creation date: 160421
    record change date: 20160421180218.0
    record identifier: 978-3-319-30889-0