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All Outputs (9)

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.

Timetabling, platforming, and routing cooperative adjustment method based on train delay (2019)
Presentation / Conference
Zhang, Y., Chen, Z., An, M., & Umar, A. (2019, October). Timetabling, platforming, and routing cooperative adjustment method based on train delay. Presented at The 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019, Changsha, China

This paper presents a methodology in which three sub-models of train timetabling, platforming, and routing are combined by studying the real-time adjustment and optimization of high-speed railway in the case of train delay in order to produce a coope... Read More about Timetabling, platforming, and routing cooperative adjustment method based on train delay.

Overview of optimization models and algorithms for train platforming problem (2019)
Presentation / Conference
Zhang, Y., Umar, A., & An, M. (2019, October). Overview of optimization models and algorithms for train platforming problem. Presented at The 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019, Changsha, China

In this paper, an overview of recent advances in the research on train platforming problem (TPP) is presented. The TPP is usually the last problem encountered in planning a railway system which occurs after a schedule of trains in a railway network (... Read More about Overview of optimization models and algorithms for train platforming problem.

Railway capacity calculation in emergency using modified fuzzy random optimization methodology (2019)
Presentation / Conference
Wang, L., An, M., Jia, L., & Qin, Y. (2019, October). Railway capacity calculation in emergency using modified fuzzy random optimization methodology. Presented at The 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019, Changsha, China

Accurate estimated capacity of the railway section can provide reliable information to railway operators and engineers in decision-making, particularly, in an emergency situation. However, in an emergency, the optimization of capacity of a railway se... Read More about Railway capacity calculation in emergency using modified fuzzy random optimization methodology.

Utilizing big data for enhancing passenger safety in railway stations (2019)
Presentation / Conference
Alawad, H., kaewunruen, S., & An, M. (2019, June). Utilizing big data for enhancing passenger safety in railway stations. Presented at The 4th World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium, Prague, Czech Republic

In light of the increasing demand and capacity in the railway industry, it is imperative to maintain safety in relation to the complexities of the substantial railway stations. Thus, it is important to take note of the time where investments in new t... Read More about Utilizing big data for enhancing passenger safety in railway stations.

Risk management prediction for overcrowding in railway stations utilising Adaptive Nero Fuzzy Inference System (ANFIS) (2019)
Presentation / Conference
Alawad, H., Kaewunruen, S., & An, M. (2019, June). Risk management prediction for overcrowding in railway stations utilising Adaptive Nero Fuzzy Inference System (ANFIS). Presented at The 4th World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium 2019, Prague, Czech Republic

In this research, an intelligent system for managing risks is developed with a framework to aid in managing the risks in the railway stations. A method to advance risk management in the railway stations is needed in order to minimize risk through an... Read More about Risk management prediction for overcrowding in railway stations utilising Adaptive Nero Fuzzy Inference System (ANFIS).

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.