Driver Advisory Technology for Energy-Efficient Train Operation

Abstract:

Based on the technical problem and difficulty of the randomness and arbitrariness in the selection of the current train driving speed curve， this paper constructed the structure of the energy-saving driving assistance system， and designed the system information interaction mode. based on which， the energy-saving model algorithm of train running at regular time is established. The method of genetic algorithm model based on cruise speed （CS） was innovatively established， and the energy saving model algorithm of train running at regular time was calculated and analyzed. The optimal speed curve was solved by encoding the energy consumption and CS. The algorithm proposed in this paper does not need to predetermine the sequence table of working conditions， increases the degree of freedom of model optimization， and makes the overall train speed curve appear more stable. The results of simulation experiments verify the effectiveness of the proposed method， and the advantages of the proposed model are proved by comparing with the examples in typical literatures. The optimal speed curve solved in this paper can be finally transmitted to the on-board terminal of driver assistance system（DAS） through driver assistance information for display， which can be used for driving guidance and energy saving effect of train driving.