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Energy consumption of trains is an important part of the energy consumption of urban rail transit (URT) systems. By arranging an energy-efficient train timetable and speed profile, the train traction energy consumption can be better reduced and regenerative braking energy can be more used, thereby reducing total energy consumption of train. In this paper, taking Jinan Metro Line 2 as an example, a joint optimization model of train timetable and speed profile is formulated. Based on the operation data of Jinan Metro Line 2, this paper optimizes the total energy consumption of all trains running on the line during a peak period, and designs a genetic algorithm to calculate the train's energy-efficient timetable and speed profile. The results show that the method has a significant effect on reducing the energy consumption of train operation.
An et al. (Wed,) studied this question.
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