Evaluating optimized speed profile for energy saving based on longitudinal dynamic

This manuscript investigates optimized speed profile of train under different conditions including curves, gradients and speed limits based on the longitudinal dynamic of the train. The longitudinal dynamic is employed to derive the governing equations and in order to achieve a global optimality on energy saving, an integrated energy-efficient timetable, and speed profile optimization model. Then the problem is solved and optimized by genetic algorithm and appropriated speed profile of train is generated whereby the given journey must be completed on the desired time. The problem is implemented for the south to north line of Tehran metro. Finally, the result obtained from simulation have been compared with actual operation data of Tehran metro Line 1. Results obtained shows that genetic algorithm can reduce energy consumption around 9.3% in desired time. This simulation can help to attain required driving performance by driving the train with the respective speed profile.