Energy efficiency has become one of the major concerns in railway operation today. Generation of energy-efficient train trajectories can be modeled as solving a complex optimization problem with nonlinear and time-varying variables under multiple constraints of equality and inequality, as train operation is a dynamically vacillating process due to complex railway operational conditions. In recent years Driver Advisory System (DAS) is introduced as the system to deliver optimized energy-efficient trajectory to train operation through advisory to the driver based on static or real-time railway operation information. This work proposes a prototype DAS design using a PC as central unit and a smartphone as on-board unit, with a bi-directional message exchange between central unit and on-board unit. An energy-distribution based model and optimization algorithm is developed to derive and to adjust train trajectories. Simulation results are demonstrated the efficiency and robustness of the approach and methods.
Analysis and design of Driver Advisory System (DAS) for energy-efficient train operation with real-time information
2016-08-01
1555993 byte
Conference paper
Electronic Resource
English