Title :
Energy-efficient optimization for train tracking operation in urban rail transit
Author :
Qing Gu ; Fei Ma ; Yu Meng
Author_Institution :
Sch. of Mech. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
Abstract :
This paper investigates energy-efficient operation for two tracking trains. The operation status of the leading train are combined into the optimization of operation for the following train. In this case, the energy-efficient tracking scenarios are studied and a new switching optimization thought for energy-efficient train tracking operation is proposed based on tracking scenarios analysis. Then by improving the energy-efficient operation optimization method for single train, the energy-efficient optimization method for train tracking operation is developed and analyzed. Simulation results show the feasibility and effectiveness of the new method.
Keywords :
optimisation; railways; energy-efficient optimization; energy-efficient tracking scenarios; switching optimization; train tracking operation; urban rail transit; Energy consumption; Energy efficiency; Equations; Mathematical model; Optimization; Switches; Trajectory;
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ITSC.2014.6957793