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Title: Understanding Freight Trip-Chaining Behavior Using a Spatial Data-Mining Approach with GPS Data
Accession Number: 01590741
Record Type: Component
Record URL: Availability: Transportation Research Board Business Office 500 Fifth Street, NW Find a library where document is available Abstract: Freight systems are a critical yet complex component of the transportation domain. Understanding the dynamic of freight movements will help in better management of freight demand and eventually improve freight system efficiency. This paper presents a series of data-mining algorithms to extract an individual truck’s trip-chaining information from multiday GPS data. Individual trucks’ anchor points were identified with the spatial clustering algorithm for density-based spatial clustering of applications with noise. The anchor points were linked to construct individual trucks’ trip chains with 3-day GPS data, which showed that 51% of the trucks in the data set had at least one trip chain. A partitioning around medoids nonhierarchical clustering algorithm was applied to group trucks with similar trip-chaining characteristics. Four clusters were generated and validated by visual inspection when the trip-chaining statistics were distinct from each other. This study sheds light on modeling freight-chaining behavior in the context of massive freight GPS data sets. The proposed trip chain extraction and behavior classification algorithms can be readily implemented by transportation researchers and practitioners to facilitate the development of activity-based freight demand models.
Monograph Title: Managing Performance and Assets; Freight Data and Visualization Monograph Accession #: 01607754
Report/Paper Numbers: 16-2579
Language: English
Authors: Pagination: pp 44–54
Publication Date: 2016
ISBN: 9780309369855
Media Type: Print
Features: Diskette; Figures
(7)
; References
(34)
; Tables
(3)
TRT Terms: Subject Areas: Data and Information Technology; Freight Transportation; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning
Files: TRIS, TRB, ATRI
Created Date: Jan 12 2016 5:08PM
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0000-0002-4180-5628