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A gauge modification-based railway out-of-gauge freight transportation route decision-making methodology (2023)
Journal Article
Zhang, Y., Liu, J., An, M., & Wang, J. (2023). A gauge modification-based railway out-of-gauge freight transportation route decision-making methodology. Alexandria engineering journal : AEJ, 68, 181-195. https://doi.org/10.1016/j.aej.2023.01.009

The loading outline of railway out-of-gauge freight (ROF) is beyond the railway gauge due to its larger size. The choice of a safe and economical transportation route according to the characteristics of the freights in the railway network becomes an... Read More about A gauge modification-based railway out-of-gauge freight transportation route decision-making methodology.

Railway out-of-gauge cargo transportation route selection method considering gauge modification (2022)
Journal Article
Zhang, Y., Liu, J., An, M., & Wang, J. (2022). Railway out-of-gauge cargo transportation route selection method considering gauge modification. Lecture notes in electrical engineering, 271-279. https://doi.org/10.1007/978-981-16-9909-2_30

The size of railway out-of-gauge cargo is large, and the loading outline will exceed the railway gauges. In the actual transportation organization, how to choose a safe and economic transportation route is an important issue in the transportation of... Read More about Railway out-of-gauge cargo transportation route selection method considering gauge modification.

An overview of dynamic fare pricing strategies and algorithms for high-speed railway (2022)
Journal Article
Zhang, Y., Yushau, I., An, M., & Wang, J. (2022). An overview of dynamic fare pricing strategies and algorithms for high-speed railway. Lecture notes in electrical engineering, 110-118. https://doi.org/10.1007/978-981-16-9909-2_12

High-speed railway as an emerging technology and a leading form of transportation in terms of efficiency and level of service is becoming a widely acceptable mode of transport all over the world especially in China. The high and tedious cost of const... Read More about An overview of dynamic fare pricing strategies and algorithms for high-speed railway.

Modelling cascade dynamics of passenger flow congestion in urban rail transit network induced by train delay (2022)
Journal Article
Li, M., Zhou, X., Wang, Y., Jia, L., & An, M. (2022). Modelling cascade dynamics of passenger flow congestion in urban rail transit network induced by train delay. Alexandria engineering journal : AEJ, 61(11), 8797-8807. https://doi.org/10.1016/j.aej.2022.02.022

A research into congestion propagation mechanism of urban rail transit passenger flow in train delay scenario is of great significance to the formulation of coordinated limitation measures of passenger flow among the operation lines in urban rail tra... Read More about Modelling cascade dynamics of passenger flow congestion in urban rail transit network induced by train delay.

Development of a railway out-of-gauge freight transport routing optimal method (2022)
Journal Article
Zhang, Y., Guo, J., & An, M. (2022). Development of a railway out-of-gauge freight transport routing optimal method. Physica A: Statistical Mechanics and its Applications, 595, 127081. https://doi.org/10.1016/j.physa.2022.127081

Railway out-of-gauge freight (ROF) is beyond railway gauges in its dimensions, which could be risks leading to serious railway accidents. This article presents a new methodology to search for a safest and more economic route of ROF by taking safety a... Read More about Development of a railway out-of-gauge freight transport routing optimal method.

A methodology for strategy-oriented project portfolio selection taking dynamic synergy into considerations (2021)
Journal Article
Bai, L., Bai, J., & An, M. (2021). A methodology for strategy-oriented project portfolio selection taking dynamic synergy into considerations. Alexandria engineering journal : AEJ, https://doi.org/10.1016/j.aej.2021.11.056

The selection of an optimal project portfolio from multiple project proposals to implement management strategy is always a challenge task for project managers, especially, in the selection of large-scale and complicated projects. This is particular t... Read More about A methodology for strategy-oriented project portfolio selection taking dynamic synergy into considerations.

A hierarchical Bayesian-based model for hazard analysis of climate effect on failures of railway turnout components (2021)
Journal Article
Dindar, S., Kaewunruen, S., & An, M. (2022). A hierarchical Bayesian-based model for hazard analysis of climate effect on failures of railway turnout components. Reliability Engineering and System Safety, 218(Part A), 108130. https://doi.org/10.1016/j.ress.2021.108130

There has been a considerable increase in derailment investigations, in particular at railway turnouts (RTs), as the majority of derailments lead to lengthy disruptions to the appropriate rail operation and catastrophic consequences, being potentiall... Read More about A hierarchical Bayesian-based model for hazard analysis of climate effect on failures of railway turnout components.

Project portfolio resource risk assessment considering project interdependency by the fuzzy Bayesian network (2020)
Journal Article
Bai, L., Zhang, K., Shi, H., An, M., & Han, X. (2020). Project portfolio resource risk assessment considering project interdependency by the fuzzy Bayesian network. Complexity, 2020, 5410978. https://doi.org/10.1155/2020/5410978

Resource risk caused by specific resource sharing or competition among projects due to resource constraints is a major issue in project portfolio management, which challenges the application of risk analysis methods effectively. This paper presents a... Read More about Project portfolio resource risk assessment considering project interdependency by the fuzzy Bayesian network.

An integration of train timetabling, platforming and routing-based cooperative adjustment methodology for dealing with train delay (2020)
Journal Article
Zhang, Y., Chen, Z., An, M., & Umar, A. (2020). An integration of train timetabling, platforming and routing-based cooperative adjustment methodology for dealing with train delay. International Journal of Software Engineering and Knowledge Engineering, 30(07), 901-919. https://doi.org/10.1142/S0218194020400112

Train delay is a serious issue that can spread rapidly in the railway network leading to further delay of other trains and detention of passengers in stations. However, the current practice in the event of the trail delay usually depends on train dis... Read More about An integration of train timetabling, platforming and routing-based cooperative adjustment methodology for dealing with train delay.

Utilizing an Adaptive Neuro-Fuzzy Inference System (ANFIS) for overcrowding level risk assessment in railway stations (2020)
Journal Article
Alawad, H., An, M., & Kaewunruen, S. (2020). Utilizing an Adaptive Neuro-Fuzzy Inference System (ANFIS) for overcrowding level risk assessment in railway stations. Applied Sciences, 10(15), e5156. https://doi.org/10.3390/app10155156

The railway network plays a significant role (both economically and socially) in assisting the reduction of urban traffic congestion. It also accelerates the decarbonization in cities, societies and built environments. To ensure the safe and secure o... Read More about Utilizing an Adaptive Neuro-Fuzzy Inference System (ANFIS) for overcrowding level risk assessment in railway stations.

A deep learning approach towards railway safety risk assessment (2020)
Journal Article
Alawad, H., Kaewunruen, S., & An, M. (2020). A deep learning approach towards railway safety risk assessment. IEEE Access, 9(2020), 1-23. https://doi.org/10.1109/ACCESS.2020.2997946

Railway stations are essential aspects of railway systems, and they play a vital role in public daily life. Various types of AI technology have been utilised in many fields to ensure the safety of people and their assets. In this paper, we propose a... Read More about A deep learning approach towards railway safety risk assessment.

Bayesian network-based human error reliability assessment of derailments (2020)
Journal Article
Dindar, S., Sakdirat, K., & An, M. (2020). Bayesian network-based human error reliability assessment of derailments. Reliability Engineering and System Safety, 197, 106825. https://doi.org/10.1016/j.ress.2020.106825

The knowledge acquired in relation to failures associated with components has made significant contributions to the development of components with increased reliability, as well as a reduction in the number of rail incidents caused by certain system... Read More about Bayesian network-based human error reliability assessment of derailments.

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.

A risk-based maintenance decision-making approach for railway asset management (2018)
Journal Article
Wang, L., An, M., Qin, Y., & Jia, L. (2018). A risk-based maintenance decision-making approach for railway asset management. International Journal of Software Engineering and Knowledge Engineering, 28(4), 453-483. https://doi.org/10.1142/s0218194018400065

This paper presents a risk-based maintenance decision making modeling methodology for railway asset maintenance optimization, which takes risk and maintenance cost objectives into consideration in the decision making process. A bottom-up risk analysi... Read More about A risk-based maintenance decision-making approach for railway asset management.

Guest editors' introduction (2018)
Journal Article
Qin, Y., An, M., & Jia, L. (2018). Guest editors' introduction. International Journal of Software Engineering and Knowledge Engineering, 28(04), 427-429. https://doi.org/10.1142/S0218194018020023

The Cyber-Physical System (CPS) of Railways is an intelligent integration system of information acquisition, data fusion, state identification, knowledge inference, system optimization and control. CPS presents a higher combination and coordination b... Read More about Guest editors' introduction.

Bayesian network-based probability analysis of train derailments caused by various extreme weather patterns on railway turnouts (2017)
Journal Article
Dindar, S., Kaewunruen, S., An, M., & Sussman, J. (2018). Bayesian network-based probability analysis of train derailments caused by various extreme weather patterns on railway turnouts. Safety Science, 110(Part B), 20-30. https://doi.org/10.1016/j.ssci.2017.12.028

Since multiple failure events associated with derailments could not be identified and derailment probability could not be reached quantitatively by event tree and fault tree analysis for safety assessment in railway systems, applications of Bayesian... Read More about Bayesian network-based probability analysis of train derailments caused by various extreme weather patterns on railway turnouts.