Data-Enabled Proactive Management of Delays in the French Railway Network: A Seasonal Approach

Mahajan, Prachi Ajay (2023) Data-Enabled Proactive Management of Delays in the French Railway Network: A Seasonal Approach. Masters thesis, Dublin, National College of Ireland.

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Abstract

Transportation planning is a critical component of effective urban growth, but traditional methods which are relying on manual procedures such as set schedules, fixed travel routes, and on paper ticketing infrastructure have difficulty keeping up with real-time data and changing passenger demands. In contrast, by examining train delays, their causes and utilising machine learning models such as SVR, ANN, Random forest, Decision tree, the research aims to improve the effectiveness of system. The study makes use of hyperparameter tuning, exploratory data analysis and model evaluation metrics like MSE,RMSE,R2. Using a dataset with transit records from the French transportation network, models predicted delays caused by various factors with excellent accuracy. The created Power BI dashboard allows meaningful data exploration and acted as a useful decision support tool for optimising delay. In findings, the ANN was the most effective model with R-squared value 0.95 which is greater performance in anticipating delays. This demonstrates ANN’s strength and applicability for optimising proactive delay strategy in the challenging context of France railway system.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Muntean, Cristina Hava UNSPECIFIED
Uncontrolled Keywords:	Support Vector Regressor(SVR); Random Forest(RF); Decision Tree(DT); Artificial Neural Network(ANN)
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > TF Railroad engineering and operation Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence H Social Sciences > HE Transportation and Communications > Urban Transportation
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	16 May 2025 10:14
Last Modified:	16 May 2025 10:14
URI:	https://norma.ncirl.ie/id/eprint/7561

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