What is it about?
This research investigates train delay propagation, focusing on identifying influencing factors, optimizing parameters to minimize delays, and proposing cost-effective mitigation measures using the southern intercity railway route of Thailand as a case study.
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Why is it important?
Previous research has largely focused on modeling train delay propagation using statistical techniques. Initial studies concentrated on formulating these models, while later works have explored optimizing delay propagation for both single and multiple objective problems. This research fills a gap in the literature that is the implementation of cost-effective measures to mitigate delay propagation.
Perspectives
By following multiple processes guided through this research including cluster analysis using k-means and the elbow method, multiple linear regression analysis for each delay cluster, train class, and track type, multi-objective optimization to derive optimal values for each predictor, and benefit-cost analysis of each feasible measures, the readers can develop their own masterplan for mitigating train delay propagation in the systematic way.
Ackchai Sirikijpanichkul
Kasetsart University
Read the Original
This page is a summary of: A Multi-Objective Optimization of Clustered Train Delay Propagation Model, The Open Transportation Journal, November 2024, Bentham Science Publishers,
DOI: 10.2174/0126671212342255241002114149.
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