Technical Papers
Jan 6, 2016

Performance Evaluation and Correction Functions for Automated Pedestrian and Bicycle Counting Technologies

Publication: Journal of Transportation Engineering
Volume 142, Issue 3

Abstract

Automated counting technologies are one of the fastest growing sources of data in the non-motorized transportation field. Although automated counts make it possible to collect data for longer time periods and to document temporal variations in volumes more effectively than manual counts, all of the technologies being used are subject to systematic miscount rates that must be accounted for to generate accurate volume estimates. In this paper, accuracy and precision rates are tested for six automated pedestrian and bicycle counting technologies: passive infrared, active infrared, radio beam, pneumatic tubes, inductive loops, and piezoelectric strips. For some technologies, multiple products are tested. Counting devices were installed at 13 sites in seven cities to introduce variation in environmental (weather) conditions and volume levels, and manual validation counts were conducted based on video footage taken at each of the test sites. Correction functions are developed for each technology to increase accuracy of volume estimates. Various environmental conditions including temperature, rain, and lighting are tested in the development of the correction functions. For most technologies, a net undercount effect was observed that appears to worsen at higher volumes. Average error rates (average percentage deviation) for the tested technologies range from 0.55% for inductive loops to 17.38% for pneumatic tubes. However, after applying correction functions accuracy improves for nearly all technologies.

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Acknowledgments

The authors acknowledge the National Cooperative Highway Research Program (NCHRP) for funding. NCHRP arranged a volunteer project oversight panel, whose many valuable comments and criticisms made this project a success. The authors also recognize the major contributions of the rest of the research team, in particular Paul Ryus (Principal Investigator), Erin Ferguson (Co-Investigator), and Kelly Laustsen (Co-Investigator) at Kittelson & Associates, Inc., and Tony Hull at Toole Design Group. City, county, and university staff in all of the jurisdictions with study sites provided invaluable support in terms of obtaining permission to install counting equipment. Finally, thanks to all of the technology vendors who provided free or discounted counting equipment and technical support throughout the project.

References

Andersen, O., Gundersen, V., Wold, L. C., and Stange, E. (2014). “Monitoring visitors to natural areas in wintertime: Issues in counter accuracy.” J. Sustainable Tourism, 22(4), 550–560.
Brosnan, M., Petesch, M., Pieper, J., Schumacher, S., and Lindsey, G. (2015). “Validation of bicycle counts from pneumatic tube counters in mixed traffic flows.” 94th Annual Meeting of the Transportation Research Board, Transportation Research Board, Washington, DC.
CDM Research. (2013). “Evaluation of automatic cyclist counters.” ARRB Group and Dept. of Transport and Main Roads, QLD, Australia.
FHWA (Federal Highway Administration). (2013). “Traffic monitoring guide.” U.S. Dept. of Transportation, Washington, DC.
Government of Canada. (2014). “Historical climate data.” 〈http://climate.weather.gc.ca/〉. (Aug. 31, 2014).
Greene-Roesel, R., and Diogenes, M. (2008). “Effectiveness of a commercially available automated pedestrian counting device in urban environments: Comparison with manual counts.” Transportation Research Board 87th Annual Meeting, Transportation Research Board, Washington, DC.
Hjelkrem, O. A., and Giæver, T. (2009). “A comparative study of bicycle detection methods and equipment.” 16th ITS World Congress and Exhbition on Intelligent Transport Systems and Services, ITS America, Washington, DC.
Hyde-Wright, A., Graham, B., and Nordback, K. (2014). “Counting bicyclists with pneumatic tube counters on shared roadways.” Inst. Trans. Eng. ITE J., 84(2), 32–37.
Jones, M. G., Ryan, S., Donlon, J., Ledbetter, L., Ragland, D. R., and Arnold, L. (2010). “Seamless travel: Measuring bicycle and pedestrian activity in San Diego county and its relationship to land use, transportation, safety, and facility type.”, Univ. of California, Berkeley, CA.
Klein, L. A., Mills, M. K., and Gibson, D. R. P. (2006). Traffic detector handbook, Vol. 1, Federal Highways Administration, Washington, DC.
Kuah, G. (1989). “Calibration of an infrared pedestrian counting system for shopping malls.” Trans. Res. Rec., 1210, 31–40.
Lin, L., Hedayat, A. S., Sinha, B., and Yang, M. (2002). “Statistical methods in assessing agreement: Models, issues, and tools.” J. Am. Stat. Assoc., 97(457), 257–270.
Lindsey, G., Han, Y., Wilson, J., and Yang, J. (2006). “Neighborhood correlates of urban trail use.” J. Phys. Act. Health, 3(1), 139–157.
Lindsey, G., Hankey, S., Wang, X., and Chen, J. (2013). “The Minnesota bicycle and pedestrian counting initiative: Methodologies for non-motorized.” 〈http://www.cts.umn.edu/Publications/ResearchReports/reportdetail.html?id=2328〉.
Lindsey, G., and Nguyen, D. B. L. (2004). “Use of greenway trails in Indiana.” J. Urban Plann. Dev., 213–217.
National Climatic Data Center. (2014). “Quality controlled local climatological data.” 〈http://cdo.ncdc.noaa.gov/qclcd/QCLCD〉 (Aug. 31, 2014).
Nordback, K., and Janson, B. N. (2010). “Automated bicycle counts: Lessons from Boulder, Colorado.” Trans. Res. Rec., 2190(-1), 11–18.
Nordback, K., Piatkowski, D., Janson, B. N., Marshall, W. E., Krizek, K. J., and Main, D. S. (2011). “Using inductive loops to count bicycles in mixed traffic.” J. Trans. Inst. Trans. Eng., 2(1), 39–56.
Ozbay, K., Bartin, B., Yang, H., Walla, R., and Williams, R. (2010a). “Automatic pedestrian counter.”, CAIT/Rutgers Univ., Piscataway, NJ.
Ozbay, K., Yang, H., and Bartin, B. (2010b). “Calibration of an infrared-based automatic counting system for pedestrian traffic flow data collection.” Transportation Research Board 89th Annual Meeting, Transportation Research Board, Washington, DC, 1–17.
R Core Team. (2013). R: A language and environment for statistical computing, R Foundation for Statistical Computing, Vienna, Austria.
Ryus, P., et al. (2014a). “NCHRP 797: Guidebook on pedestrian and bicycle volume data collection.” Transportation Research Board, Washington, DC.
Ryus, P., et al. (2014b). “NCHRP web-only document 205: Methods and technologies for pedestrian and bicycle volume data collection.” Transportation Research Board, Washington, DC.
Schneider, R. J., Henry, T., Mitman, M. F., Stonehill, L., and Koehler, J. (2012). “Development and application of a pedestrian volume model in San Francisco, CA.” Trans. Res. Rec., 2299, 65–78.
Turner, S., Middleton, D., Longmire, R., and Eurek, R. (2007). “Testing and evaluation of pedestrian sensors.”, Southwest Region University Transportation Center, College Station, TX.
Wang, X., Lindsey, G., Hankey, S., and Hoff, K. (2014). “Estimating mixed-mode urban trail traffic using negative binomial regression models.” J. Urban Plann. Dev., 140(1), 1–9.
Ward, J., and Fowler, M. (2009). “Continuous cycle counting trial.”, ViaStrada, New Zealand.
Wickham, H. (2009). Ggplot2: Elegant graphics for data analysis, Springer, New York.
Yang, H., Ozbay, K., and Bartin, B. (2011). “Enhancing the quality of infrared-based automatic pedestrian sensor data by nonparametric statistical method.” Trans. Res. Rec., 2264(-1), 11–17.

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Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 142Issue 3March 2016

History

Received: Sep 19, 2014
Accepted: Oct 15, 2015
Published online: Jan 6, 2016
Published in print: Mar 1, 2016
Discussion open until: Jun 6, 2016

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Authors

Affiliations

Frank R. Proulx [email protected]
Graduate Student Researcher, Univ. of California, Berkeley, Safe Transportation Research and Education Center, 2614 Dwight Way #7374, Berkeley, CA 94720-7374 (corresponding author). E-mail: [email protected]
Robert J. Schneider, Ph.D. [email protected]
Assistant Professor, Dept. of Urban Planning, Univ. of Wisconsin-Milwaukee, 2131 E. Hartford Ave., Milwaukee, WI 53211. E-mail: [email protected]
Luis F. Miranda-Moreno, Ph.D. [email protected]
Assistant Professor, Dept. of Civil Engineering and Applied Mechanics, McGill Univ., Macdonald Engineering Bldg., 817 Sherbrooke St. West, Montréal, QC, Canada H3A 2K6. E-mail: [email protected]

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