2026-10-13T10:41:01Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33716221 2026-10-11T17:22:49Z category_25063 item_type_3 month_year_10_2026

Interpretable Time-Series Traffic-Volume Modelling for Construction Logistics Management The Quan Nguyen (24355082) Other built environment and design not elsewhere classified traffic volume time-series forecasting machine learning Random Forest urban construction logistics weather data Metro Interstate Traffic Volume UCI Machine Learning Repository <p dir="ltr">This dataset contains the derived analytical sample used in the study <i>“Interpretable Time-Series Traffic-Volume Modelling for Construction Logistics Management: A Proposed Decision-Translation Framework.”</i> It was prepared from the publicly available UCI Metro Interstate Traffic Volume dataset (Hogue, 2019; <a href="" target="_new" rel="noopener">https://doi.org/10.24432/C5X60B</a>).</p><p dir="ltr">The original dataset contains 48,204 hourly observations from a westbound I-94 freeway segment in the Minneapolis–St. Paul metropolitan area, covering October 2012 to September 2018. The shared analytical dataset contains 36,514 chronologically ordered observations after the application of predefined cleaning and feature-engineering procedures, including removal of duplicate timestamps, physically implausible weather records, zero traffic-volume records, and observations without the required autoregressive lag values.</p><p dir="ltr">Variables include hourly traffic volume, temporal features, lagged traffic-volume predictors, meteorological variables, and encoded weather categories. This dataset is provided to support transparency and reuse of the reported descriptive and modelling analyses. Users should cite both the present dataset and the original UCI source.</p> 2026-10-11T17:22:49Z Dataset Dataset 10.6084/m9.figshare.33716221.v2 https://figshare.com/articles/dataset/Interpretable_Time-Series_Traffic-Volume_Modelling_for_Construction_Logistics_Management/33716221 CC BY 4.0