A feature-oriented vehicle trajectory data processing scheme for data mining: A case study for statewide truck parking behaviors
The authors propose a workflow for trajectory data mining jointly using well-tested (as opposed to ad hoc) machine learning algorithms and unstructured local knowledge of experts and decision-makers, a common requirement in public agencies and consulting businesses. The key step of the workflow is to condense vehicle trajectory data into an analytics base table (ABT) using a set of features so that general-purpose data mining algorithms can be utilized. The case study extracts context-dependent features from high-frequency truck trajectory data from the State of Texas for analyzing patterns of truck parking in the Statewide highway system and for deriving implications for truck parking regulations and investment decisions. The results show that the approach is suitable for time-efficient implementation and provides valuable inputs for applications related to truck parking studies. This paper does not focus on the deeper understanding of the data in the case study; instead, it focuses on demonstrating how the proposed feature-oriented workflow eases the handling of high-volume trajectory data and improves the trackability of the decision process where data mining algorithms and human expertise interact significantly.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/25901982
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Supplemental Notes:
- © 2021 Jiangbo Gabe Yu, et al. Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
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Authors:
- Yu, Jiangbo Gabe
- Selby, Brent
- Vlahos, Nicholas
- Yadav, Vivek
- Lemp, Jason
- Publication Date: 2021-9
Language
- English
Media Info
- Media Type: Web
- Features: References;
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Serial:
- Transportation Research Interdisciplinary Perspectives
- Volume: 11
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2590-1982
- Serial URL: https://www.journals.elsevier.com/transportation-research-interdisciplinary-perspectives
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Behavior; Data mining; Parking; Trucks; Vehicle trajectories
- Geographic Terms: Texas
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment;
Filing Info
- Accession Number: 01783404
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 28 2021 11:30AM