Proactive Management of Delays in the French Railway Network: A Seasonal Machine Learning Based Approach

Mahajan, Prachi, Stynes, Paul and Muntean, Cristina Hava (2024) Proactive Management of Delays in the French Railway Network: A Seasonal Machine Learning Based Approach. In: The 2024 World Congress in Computer Science, Computer Engineering, and Applied Computing. American Council on Science and Education, Las Vegas, USA.

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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 Support Vector Regressor (SVR), Artificial Neural Network (ANN), Random Forest (RF), Decision Tree (DT), this research paper aims to improve the effectiveness of the 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, the investigated models predict delays caused by various factors with very good accuracy. A Power BI dashboard was created to allow meaningful data exploration and it acted as a useful decision support tool for optimising delay. The results show that ANN was the most effective model with R-squared value 0.95 which is a great performance in anticipating delays. This research outcome demonstrates ANN’s strength and applicability for optimising proactive delay strategy in the challenging context of France railway system.

Item Type:	Book Section
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 > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Staff Research and Publications
Depositing User:	Tamara Malone
Date Deposited:	20 Dec 2024 16:43
Last Modified:	20 Dec 2024 16:43
URI:	https://norma.ncirl.ie/id/eprint/7237

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