Abstract
The paper establishes the operation adjustment model in accordance with constraints of the train operation based on the characteristic of high real-time and dynamic and the fitness function aiming at getting the least level of delay time and the number of delay times. In order to solve the established operation adjustment model, the method of cooperation is introduced to improve the typical particle swarm algorithm, which improves the efficiency of operation and the global optimum. Finally, taking the train operation adjustment of dedicated passenger line between Beijing and Shenyang as an example, the model and algorithm are verified. It can be seen that the method is efficient and feasible and it has a good guiding significance for train operation adjustment.
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Acknowledgment
This work was supported in part by the National Natural Science Foundation of China under Grant (61374157).
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An, Y., Qin, Y., Meng, X., Wang, Z. (2016). Study on Train Operation Adjustment Based on Collaborative Particle Swarm Algorithms. In: Qin, Y., Jia, L., Feng, J., An, M., Diao, L. (eds) Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation. Lecture Notes in Electrical Engineering, vol 378. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49370-0_52
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DOI: https://doi.org/10.1007/978-3-662-49370-0_52
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