United States Department of Transportation
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The use of cell phone network data in traffic data collection and long-haul truckshed (geographic extent) tracking.
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2012-12-01
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[PDF-1.26 MB]
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NTL Classification:NTL-FREIGHT-FREIGHT;NTL-GEOGRAPHIC INFORMATION SYSTEMS-GEOGRAPHIC INFORMATION SYSTEMS;NTL-OPERATIONS AND TRAFFIC CONTROLS-OPERATIONS AND TRAFFIC CONTROLS;
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Abstract:This study analyzed the potential of cell phone positioning techniques in freight truck data collection and long-haul
truckshed (geographic extent) tracking. Freight truck identification and tracking algorithms were developed by means of
cell phone network data and the established freight truck analysis GIS, to recognize freight trucks and determine their
geographic extent (trucksheds). A case study was conducted to illustrate the truckshed tracking process and verify the
tracking results from the cell phone network. Cell phones leaving from the test logistics distribution center were tracked
and classified based on the developed tracking algorithms. The case study also demonstrated the processes of determining
the geographic extent and traffic impact on the transportation network from the test logistics distribution center. The
results showed that the proposed tracking algorithms can identify a similar percentage of freight truck data from the test
facility compared with manual counts. The analysis of geographic extent indicated that 60 percent of freight traffic stayed
within 30 miles of the facility, and approximately 20 percent of the traffic was considered long-haul freight traffic
traveling more than 80 miles away. The long-haul tracking results found that most of the long-haul trucks returned to the
original test facility during the same day. It is recommended that the tracking algorithms and data analysis process could
also be applied to any other freight trucking terminal or intermodal transportation facility, as long as the cell phone
network data are available. A complete freight GIS analysis network around the study area is also recommended to
understand the likely destinations.
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