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000754952 020__ $$a9783319308890$$q(electronic book)
000754952 020__ $$a3319308890$$q(electronic book)
000754952 020__ $$z9783319308883
000754952 0247_ $$a10.1007/978-3-319-30889-0$$2doi
000754952 035__ $$aSP(OCoLC)ocn947837420
000754952 035__ $$aSP(OCoLC)947837420
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000754952 049__ $$aISEA
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000754952 24500 $$aOptimal trajectory planning and train scheduling for urban rail transit systems$$h[electronic resource] /$$cYihui Wang, Bin Ning, Ton van den Boom, Bart De Schutter.
000754952 264_1 $$aSwitzerland :$$bSpringer,$$c2016.
000754952 300__ $$a1 online resource (xxi, 180 pages) :$$billustrations.
000754952 336__ $$atext$$btxt$$2rdacontent
000754952 337__ $$acomputer$$bc$$2rdamedia
000754952 338__ $$aonline resource$$bcr$$2rdacarrier
000754952 4901_ $$aAdvances in industrial control,$$x1430-9491
000754952 504__ $$aIncludes bibliographical references and index.
000754952 5050_ $$aIntroduction -- Background: Train Operation and Scheduling -- Optimal Trajectory Planning for a Single Train -- Optimal Trajectory Planning for Multiple Trains -- OD-Independent Train Scheduling for an Urban Rail Transit Line -- OD-Dependent Train Scheduling for an Urban Rail Transit Line -- OD-Dependent Train Scheduling for an Urban Rail Transit Network -- Overview and Future Directions -- Appendix: A General Formulation of the Pseudospectral Method.
000754952 506__ $$aAccess limited to authorized users.
000754952 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.
000754952 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 26, 2016).
000754952 650_0 $$aStreet-railroads$$xPlanning.
000754952 650_0 $$aStreet-railroads$$xManagement.
000754952 7001_ $$aWang, Yihui,$$d1987-$$eauthor.
000754952 7001_ $$aNing, B.$$q(Bin),$$eauthor.
000754952 7001_ $$aBoom, Ton van den,$$eauthor.
000754952 7001_ $$aSchutter, B. de,$$d1968-$$eauthor.
000754952 77608 $$iPrint version:$$z9783319308883
000754952 830_0 $$aAdvances in industrial control.
000754952 852__ $$bebk
000754952 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-30889-0$$zOnline Access$$91397441.1
000754952 909CO $$ooai:library.usi.edu:754952$$pGLOBAL_SET
000754952 980__ $$aEBOOK
000754952 980__ $$aBIB
000754952 982__ $$aEbook
000754952 983__ $$aOnline
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