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First published online April 28, 2019

Estimation of Statewide Origin–Destination Truck Flows from Large Streams of GPS Data: Application for Florida Statewide Model

Abstract

This paper demonstrates the use of large streams of truck GPS data from the American Transportation Research Institute for the estimation of statewide freight truck flows in Florida. Raw GPS data streams, which comprised more than 145 million GPS records, were used to derive a database of more than 1.2 million truck trips that started or ended in Florida. The paper sheds light on the extent to which the trips derived from the GPS data captured the observed truck traffic flows in Florida. The paper includes insights into (a) the truck type composition, (b) the proportion of the observed truck traffic flows covered by the data, and (c) the geographical differences in the coverage. The paper applies origin–destination (O-D) matrix estimation to combine the GPS data with the observed truck traffic volumes at different locations within and outside Florida to derive an O-D table of truck flows within, into, and out of the state. The procedures, implementation details, and findings discussed in the paper are expected to be useful to agencies that are considering the use of GPS data in freight travel demand modeling.

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References

1. Jones C., Murray D. C., and Short J. Methods of Travel Time Measurement in Freight Significant Corridors. Presented at 84th Annual Meeting of the Transportation Research Board, Washington, D.C., 2005.
2. Pinjari A. R., Zanjani A. B., Thakur A., Irmania A. N., Kamali M., Short J., Pierce D., and Park L. Using Truck Fleet Data in Combination with Other Data Sources for Freight Modeling and Planning. Research report. Florida Department of Transportation, Tallahassee, 2014.
3. Bernardin V. L., Avner J., Short J., Brown L., Nunnally R., and Smith S. Using Large Sample GPS Data to Develop an Improved Truck Trip Table for the Indiana Statewide Model. Presented at 4th Transportation Research Board Conference on Innovations in Travel Modeling, Tampa, Fla., 2012.
4. Kuppam A., Lemp J., Beagan D., Livshits V., Vallabhaneni L., and Nippani S. Development of a Tour-Based Truck Travel Demand Model Using Truck GPS Data. Presented at 93rd Annual Meeting of the Transportation Research Board, Washington, D.C., 2014.
5. Ma X., McCormack E. D., and Wang Y. Processing Commercial Global Positioning System Data to Develop a Web-Based Truck Performance Measures Program. In Transportation Research Record: Journal of the Transportation Research Board, No. 2246, Transportation Research Board of the National Academies, Washington, D.C., 2011, pp. 92–100.
6. Van Zuylen H. J., and Willumsen L. G. The Most Likely Trip Matrix Estimated from Traffic Counts. Transportation Research Part B, Vol. 14, No. 3, 1980, pp. 281–293.
7. González-Calderón C., Holguín-Veras J., and Ban J. Tour-Based Freight Origin–Destination Synthesis. Presented at 4th European Transportation Conference, Glasgow, United Kingdom, 2012.
8. Bernardin V. L., and Short J. Expanding Truck GPS-Based Passive Origin–Destination Data in Iowa and Tennessee. Presented at 5th Conference on Innovations in Travel Modeling, Baltimore, Md., 2014.

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Article first published online: April 28, 2019
Issue published: January 2015

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© 2015 National Academy of Sciences.
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Authors

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Akbar Bakhshi Zanjani
Department of Civil and Environmental Engineering, University of South Florida, ENB 118, 4202 East Fowler Avenue, Tampa, FL 33620
Abdul R. Pinjari
Department of Civil and Environmental Engineering, University of South Florida, ENB 118, 4202 East Fowler Avenue, Tampa, FL 33620
Mohammadreza Kamali
Department of Civil and Environmental Engineering, University of South Florida, ENB 118, 4202 East Fowler Avenue, Tampa, FL 33620
Aayush Thakur
Cambridge Systematics Inc., 999 18th Street, Suite 3000, Denver, CO 80202
Jeffrey Short
American Transportation Research Institute, 2060 Franklin Way, Southeast, Suite 201, Marietta, GA 30067
Vidya Mysore
FHWA, Resource Center, 61 Forsyth Street, Southwest, Suite 17T26, Atlanta, GA 30303
S. Frank Tabatabaee
Florida Department of Transportation, Systems Planning Office, 605 Suwannee Street, MS 19, Tallahassee, FL 32399-0450.

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