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Model Optimization of ATO System for Rail Transit
The control strategy of Automatic Train Operation(ATO) system based on multi-objective optimization technology is studied in this paper. On this basis,the performance in the process of train operation are analyzed. Based on the"penalty function" mechanism, the mathematical model of multi-objective optimal control strategy of ATO system is established, and the weight value between each performance of the objective function is determined by Analytic Hierarchy Process(AHP) model and cosine similarity. Then, the optimization model is solved by the genetic algorithm to generate the target curve of ideal railway speed-distance.Finally, the simulation results are tested and analyzed to verify the feasibility and effectiveness of the model and algorithm.
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2021中国智能自动化大会(CIAC 2021)论文集
2021年
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