國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Optimal trajectory planning and trai...

SpringerLink (Online service)

Optimal trajectory planning and train scheduling for urban rail transit systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Optimal trajectory planning and train scheduling for urban rail transit systemsby Yihui Wang ... [et al.].
其他作者:	Wang, Yihui.
出版者:	Cham :Springer International Publishing :2016.
面頁冊數:	xxi, 180 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Street-railroadsPlanning.
電子資源:	http://dx.doi.org/10.1007/978-3-319-30889-0
ISBN:	9783319308890$q(electronic bk.)

Optimal trajectory planning and train scheduling for urban rail transit systems
Optimal trajectory planning and train scheduling for urban rail transit systems[electronic resource] /by Yihui Wang ... [et al.]. - Cham :Springer International Publishing :2016. - xxi, 180 p. :ill. (some col.), digital ;24 cm. - Advances in industrial control,1430-9491. - Advances in industrial control..

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.

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.

ISBN: 9783319308890$q(electronic bk.)

Standard No.: 10.1007/978-3-319-30889-0doiSubjects--Topical Terms:

744761
Street-railroads
--Planning.

LC Class. No.: TF710

Dewey Class. No.: 625.6

Optimal trajectory planning and train scheduling for urban rail transit systems
LDR:03703nmm a2200325 a 4500 001 486681
003 DE-He213
005 20161012170607.0
006 m d
007 cr nn 008maaau
008 161116s2016 gw s 0 eng d
020 $a 9783319308890$q(electronic bk.)
020 $a 9783319308883$q(paper)
024 7 $a 10.1007/978-3-319-30889-0 $2 doi
035 $a 978-3-319-30889-0
040 $a GP $c GP
041 0 $a eng
050 4 $a TF710
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
082 0 4 $a 625.6 $2 23
090 $a TF710 $b .O62 2016
245 0 0 $a Optimal trajectory planning and train scheduling for urban rail transit systems $h [electronic resource] / $c by Yihui Wang ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xxi, 180 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Advances in industrial control, $x 1430-9491
505 0 $a 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.
520 $a 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.
650 0 $a Street-railroads $x Planning. $3 744761
650 0 $a Street-railroads $x Management. $3 744762
650 1 4 $a Engineering. $3 210888
650 2 4 $a Control. $3 349080
650 2 4 $a Transportation Technology and Traffic Engineering. $3 724870
650 2 4 $a Landscape/Regional and Urban Planning. $3 274401
650 2 4 $a Transportation. $3 201352
700 1 $a Wang, Yihui. $3 744760
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Advances in industrial control. $3 558134
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-30889-0
950 $a Engineering (Springer-11647)