Small-data Driven Modeling and Simulation of High-speed Train Running Time Under Limited Speeds

Authors

Xu Peng, 1. School of business administration, Northeastern University, Shenyang 110169, China; ;
Guoqi Feng, 1. School of business administration, Northeastern University, Shenyang 110169, China; ;
Xuewu Dai, 2. Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China; ;
Dongliang Cui, 2. Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China; ;3. Signal & Communication Research Institute, China Academy of Railway Sciences, Beijing 100081, China; ;
Qilong Wei, 2. Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China; ;
Baoxu Li, 4. China Railway Shenyang Group Co., Ltd, Shenyang 110000, China;
Jianming Li, 4. China Railway Shenyang Group Co., Ltd, Shenyang 110000, China;

Abstract

Abstract: In order to provide data support and evaluate the feasibility of high-speed train group scheduling optimization algorithm, a method of combining the mechanism model with the small-data drive is proposed. The train segment fitting model under speed limit is constructed and parameterized to reduce the number of parameters to be identified: In order to avoid the improper fitting, a parameter fitting algorithm based on the particle swarm optimization and the least square is proposed. “Location-Time-Speed” model for temporary speed limits together are proposed. The model is demonstrated on the simulation platform, and the train running time is simulated accurately and quickly under various speed limit conditions, and the effectiveness and availability of the model and method are verified.

Recommended Citation

Peng, Xu; Feng, Guoqi; Dai, Xuewu; Cui, Dongliang; Wei, Qilong; Li, Baoxu; and Li, Jianming (2021) "Small-data Driven Modeling and Simulation of High-speed Train Running Time Under Limited Speeds," Journal of System Simulation: Vol. 33: Iss. 8, Article 17.
DOI: 10.16182/j.issn1004731x.joss.20-0329
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss8/17

First Page

1892

Revised Date

2020-07-01

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.20-0329

Last Page

1904

CLC

TP391.9

Recommended Citation

Xu Peng, Feng Guoqi, Dai Xuewu, Cui Dongliang, Wei Qilong, Li Baoxu, Li Jianming. Small-data Driven Modeling and Simulation of High-speed Train Running Time Under Limited Speeds[J]. Journal of System Simulation, 2021, 33(8): 1892-1904.

DOI

10.16182/j.issn1004731x.joss.20-0329