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).