Optimal Trajectory Planning And Train Scheduling For Urban Rail Transit Systems (advances In Industrial Control)
by Bart De Schutter /
2016 / English / PDF
5.5 MB Download
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.
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.
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.
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
The problems and solutions described inOptimal Trajectory
Planning and Train Scheduling for Urban Rail Transit Systems
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.
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.