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Prof Min An's Outputs (60)

A phenomenological study on decision-making under uncertainty in real estate investments in sub-Saharan Africa (2020)
Thesis
Nsibande, C. A phenomenological study on decision-making under uncertainty in real estate investments in sub-Saharan Africa. (Thesis). University of Salford

Over a period of time, the researcher observed that real estate investment decisions were made under uncertainty in sub-Saharan Africa, and that this was due to unreliable and outdated economic and market data. The phenomenological study was an inves... Read More about A phenomenological study on decision-making under uncertainty in real estate investments in sub-Saharan Africa.

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.

Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019 - Novel traction drive technologies of rail transportation (2020)
Book

This book reflects the latest research trends, methods and experimental results in the field of electrical and information technologies for rail transportation, which covers abundant state-of-the-art research theories and ideas. As a vital field of r... Read More about Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019 - Novel traction drive technologies of rail transportation.

Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019 - Rail transportation information processing and operational management technologies (2020)
Book

This book reflects the latest research trends, methods and experimental results in the field of electrical and information technologies for rail transportation, which covers abundant state-of-the-art research theories and ideas. As a vital field of r... Read More about Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019 - Rail transportation information processing and operational management technologies.

Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019 - Rail transportation system safety and maintenance technologies (2020)
Book

This book reflects the latest research trends, methods and experimental results in the field of electrical and information technologies for rail transportation, which covers abundant state-of-the-art research theories and ideas. As a vital field of r... Read More about Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019 - Rail transportation system safety and maintenance technologies.

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.

Railway capacity calculation in emergency using modified fuzzy random optimization methodology (2019)
Presentation / Conference Contribution

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

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.