Volume 11, Issue 2 (9-2024)
IJRARE 2024, 11(2): 21-38 |
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School of Railway Engineering, Iran University of Science & Technology
Abstract: (74 Views)
As rail transportation becomes increasingly vital for daily commuting, reliability has emerged as a crucial factor influencing passengers' travel preferences and overall experience. Reliability, defined by consistent travel times, is a key metric for assessing the quality of rail services. This is especially important in metropolitan transit systems, where punctuality significantly impacts mode selection and the economic viability of transportation networks. This study is organized into three phases. The first phase involves collecting Automatic Fare Collection (AFC) data from the Tehran Metro (May 2018), including an overview of the data architecture and preparation procedures. In the second phase, travel time reliability is evaluated using two metrics: buffer time and the planning time index, with particular emphasis on the buffer time index as a primary indicator of route reliability. The final phase applies the k-means clustering method to categorize routes, determining the optimal number of clusters using the Silhouette criterion. The findings reveal that the buffer time index is a more accurate measure of travel time reliability compared to the planning time index. The analysis identifies routes with high and low reliability, highlighting that 90% of routes originating from transfer stations exhibit low average travel time reliability.
Keywords: Travel Time Reliability, Route Clustering, Metro Systems, Rail Transport, Automatic Fare Collection (AFC)
Type of Study: Research |
Subject:
Railway Transportation
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