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All Outputs (4)

Learning from accidents : machine learning for safety at railway stations (2019)
Journal Article
Alawad, H., Kaewunruen, S., & An, M. (2020). Learning from accidents : machine learning for safety at railway stations. IEEE Access, 8(1), 633-648. https://doi.org/10.1109/ACCESS.2019.2962072

In railway systems, station safety is a critical aspect of the overall structure, and yet, accidents at stations still occur. It is time to learn from these errors and improve conventional methods by utilizing the latest technology, such as machine l... Read More about Learning from accidents : machine learning for safety at railway stations.

Application of complex network principles to key station identification in railway network efficiency analysis (2019)
Journal Article
Wang, L., An, M., Jia, L., & Qin, Y. (2019). Application of complex network principles to key station identification in railway network efficiency analysis. Journal of Advanced Transportation, 2019, 1-13. https://doi.org/10.1155/2019/1574136

Network efficiency analysis becomes important in railways in order to contribute towards improving the safety and capacity of the rail network, making rail travel more attractive for passengers, and improving industry practice and informing policy de... Read More about Application of complex network principles to key station identification in railway network efficiency analysis.

Rail accident analysis using large-scale investigations of train derailments on switches and crossings : comparing the performances of a novel stochastic mathematical prediction and various assumptions (2019)
Journal Article
Dindar, S., Kaewunruen, S., & An, M. (2019). Rail accident analysis using large-scale investigations of train derailments on switches and crossings : comparing the performances of a novel stochastic mathematical prediction and various assumptions. Engineering Failure Analysis, 103, 203-216. https://doi.org/10.1016/j.engfailanal.2019.04.010

Each day tens of turnout-related derailment occur across the world. Not only is the prediction of them quite complex and difficult, but this also requires a comprehensive range of applications, and managing a well-designed geographic information syst... Read More about Rail accident analysis using large-scale investigations of train derailments on switches and crossings : comparing the performances of a novel stochastic mathematical prediction and various assumptions.