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First published online January 1, 2010

Documenting Truck Activity Times at International Border Crossings Using Redesigned Geofences and Existing Onboard Systems

Abstract

When crossing international gateways, commercial vehicles engage in multiple activities—such as approaching on congested roadways, paying tolls, undergoing customs inspections, and waiting in queues—that increase trip times and trip-time variability. Documenting the times incurred in these multiple activities is difficult because the activities are spatially dispersed, temporally variant, and affected by institutional and operational complexities resulting from the multiple organizations operating infrastructure in two countries. An approach is presented to capture the times required to complete various activities at international border crossings, using trucks from a large fleet that regularly crosses international gateways. This approach takes advantage of the telematics systems already in use by the truck fleet and is not dependent on installation of roadside equipment. Geofences are specified at strategic locations that delineate the beginnings and ends of activities of interest and send information electronically to the vehicles' onboard data units. The activity times for an individual truck crossing can be determined from data automatically recorded when trucks enter and exit the specified geofences. The trucks serve as activity time probes, and the activity times of multiple trucks can be aggregated to form activity time distributions. To demonstrate the capabilities and potential of the approach, empirical data from a large fleet of trucks traversing two of the busiest U.S. border crossings are used to produce results on median crossing times, variability in trip times, time-of-day patterns, and excess times (i.e., delays) generated from customs inspections and the queuing that results from the inspections.

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References

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Article first published online: January 1, 2010
Issue published: January 2010

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© 2010 National Academy of Sciences.
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Authors

Affiliations

Mark R. McCord
Department of Civil and Environmental Engineering and Geodetic Science, 470 Hitchcock Hall, 2070 Neil Avenue
Prem K. Goel
Department of Statistics, 1958 Neil Avenue, Ohio State University, Columbus, OH 43210.
Colin Brooks
Michigan Tech Research Institute, 3600 Green Court, Suite 100, Ann Arbor, MI 48105.
Prasenjit Kapat
Department of Statistics, 1958 Neil Avenue, Ohio State University, Columbus, OH 43210.
Richard Wallace
Center for Automotive Research, 1000 Victors Way, Suite 200, Ann Arbor, MI 48108.
Hao Dong
Department of Civil and Environmental Engineering and Geodetic Science, 470 Hitchcock Hall, 2070 Neil Avenue
D. Eric Keefauver
Michigan Tech Research Institute, 3600 Green Court, Suite 100, Ann Arbor, MI 48105.

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