To realize the energy-saving operation of urban rail transit, we propose an energy-saving train operation optimization strategy based on a multi-objective optimization model. The differential equation of the train in the three stages of traction, cruise and braking is constructed, the shortest time for the train to arrive at the platform is obtained by solving the equation. Different time periods are added to the shortest time, so as to inversely solve the distance and the functional relationship between each parameter. On this basis, considering the influence of different speed limits and ramp conditions on different road sections of the train during actual operation, the multi-objective optimization based on genetic algorithm is used to achieve the goal of solving the shortest time and fixed running time under the condition of ensuring minimum energy consumption. In addition, the differential equation model of the train encountering delay in the case of emergencies is established to realize the real-time update of the train state during operation, so as to realize the optimal solution under multi-objective, so that the energy saving strategy is more effective and reliable.
Research on Train Operation Optimization Based on Simulation and Multi-Objective Optimization Models
2024-06-28
839132 byte
Conference paper
Electronic Resource
English
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