Design of a Simulation Software to Optimize the Train Driving Strategy for Urban Rail Transit
The surge of the operational energy consumption has become a major challenge for the sustainable development with the rapid development of urban rail transit. Traction energy used to provide kinetic energy for the train during operation is about 50% in the total energy consumption of the urban rail transit, so the energy saving potential is considerable. Traction energy between train stations is determined by the driving strategy of the train, therefore, studying energy-efficient train driving strategy to reduce traction energy consumption has a great significance to achieve an environmentally friendly transport system. This paper designs a simulation software of energy-efficient train driving strategy based on the numerical algorithm to optimize energy-efficient train driving strategy with energy allocation. The simulation software can calculate energy-efficient train driving strategy according to any input line data, vehicle condition, and running time. The performance of simulation software is verified through the simulation of the actual data of Yizhuang line in Beijing.