000 04661nam a22005775i 4500
001 978-3-319-30889-0
003 DE-He213
005 20200420221251.0
007 cr nn 008mamaa
008 160421s2016 gw | s |||| 0|eng d
020 _a9783319308890
_9978-3-319-30889-0
024 7 _a10.1007/978-3-319-30889-0
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aWang, Yihui.
_eauthor.
245 1 0 _aOptimal Trajectory Planning and Train Scheduling for Urban Rail Transit Systems
_h[electronic resource] /
_cby Yihui Wang, Bin Ning, Ton van den Boom, Bart De Schutter.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXXI, 180 p. 59 illus., 2 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Industrial Control,
_x1430-9491
505 0 _aIntroduction -- 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.
520 _aThis 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.
650 0 _aEngineering.
650 0 _aTransportation.
650 0 _aRegional planning.
650 0 _aUrban planning.
650 0 _aControl engineering.
650 0 _aTransportation engineering.
650 0 _aTraffic engineering.
650 1 4 _aEngineering.
650 2 4 _aControl.
650 2 4 _aTransportation Technology and Traffic Engineering.
650 2 4 _aLandscape/Regional and Urban Planning.
650 2 4 _aTransportation.
700 1 _aNing, Bin.
_eauthor.
700 1 _avan den Boom, Ton.
_eauthor.
700 1 _aDe Schutter, Bart.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319308883
830 0 _aAdvances in Industrial Control,
_x1430-9491
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-30889-0
912 _aZDB-2-ENG
942 _cEBK
999 _c52624
_d52624