University of Birmingham > Talks@bham > Optimisation and Numerical Analysis Seminars > Train Trajectory Optimization Methods for Energy-Efficient Railway Operations

Train Trajectory Optimization Methods for Energy-Efficient Railway Operations

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In this colloquium, Pengling Wang will present her work of applying optimization methods for energy-efficient railway operations. The work is motivated by the challenges in improving energy-efficiency of train operations. The main objectives are to develop the modelling and solution methods for the train trajectory optimization problem to improve the model accuracy and the computation time, to apply the methods in a train driver advisory system development, and to develop a multi-train trajectory optimization method to solve the delay recovery and the energy-efficient timetabling problem. The train trajectory optimization was formulated as a multiple-phase optimal control problem. The multiple-phase optimal control problem gives an accurate description of varying speed limits and gradients, and the time and speed restrictions at timetable points, conflict points and signal locations; and it allows flexibility in minimizing energy consumption and delays. Besides, a prototype of a new train driver advisory system, ETO (energy-efficient train operation), has been presented in this thesis with the application of the proposed trajectory optimization method. ETO advises drivers how to achieve an energy-efficient or delay-recovery train operation. ETO automatically responses to the deviations of the actual time-distance path from the advised one, and re-computes and updates speed profiles and advice, ensuring that the driver is supplied with the best possible advice for punctual arrival with minimal energy consumption.

This talk is part of the Optimisation and Numerical Analysis Seminars series.

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