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Article

ESTIMATION OF THROUGH TRIPS USING EXISTING TRAFFIC COUNTS

DOI: 10.7708/ijtte.2014.4(4).05


4 / 4 / 415-424 Pages

Author(s)

Tahmina Khan - Civil and Environmental Engineering Department, University of Alabama in Huntsville, Huntsville, AL 35899, United States -

Michael Anderson - Civil and Environmental Engineering Department, University of Alabama in Huntsville, Huntsville, AL 35899, United States -


Abstract

Through trips are a concerns as these trips contribute to roadway congestion that must be accommodated, but for which there are no simple methods to determine. Concerns for safety and a need to avoid inconveniencing drivers have limited the use of traditional vehicle surveys. Previous research developed equations to estimate through trips in communities, requiring data on street locations, traffic volumes, community demographics, economic data and geographic data. Alternatively, using cell phones or Bluetooth devices to collect traveler information have not always been accepted by the general public and are often seen as intrusions into driver privacy. Transportation professionals are in need of a methodology to estimate through trips to improve the transportation planning process and better allocate resources for roadway infrastructure investment. This research utilizes roadway connectivity and traffic count data to estimate through trip numbers. The methodology determines through trips using roadway counts collected as part of a routine traffic monitoring procedure. The methodology has been tested against a community that underwent a Bluetooth data collection study. The outcome of this research will benefit any community with a traffic monitoring program where through trip patterns could be used to improve resource allocation.


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Keywords:
through trips; external-external trips; origin destination matrix;


Acknowledgements:

The authors acknowledge Alabama Department of Transportation (ALDOT) for their financial support. The authors would like to thank Assistant Prof. Jesmin Khan of Tuskegee University for her help in preparing the MATLAB script.


References:

Abrahamsson, T. 1998. Estimation of Origin-Destination Matrices Using Traffic Counts - A Literature Survey, Laxenburg, Austria. 32 p.

 

Anderson, M.D.; Abdullah, Y.M.; Gholston, S.E.; Jones, S.L. 2006. Development of a methodology to predict through trip rates for small communities, ASCE Journal of Urban Planning and Development. DOI: http://dx.doi.org/10.1061/(ASCE)0733-9488(2006)132:2(112), 132(2): 112-114.

 

Bera, S.; Rao, K.V.K. 2011. Estimation of Origin-Destination Matrix from Traffic Counts: The Stat of the Art, European Transport \ Transporti Europei, 49(2011): 3-23.

 

Divison, T.D.-T.P.a.P. 2012. District Traffic Maps - 2011. Available from Internet: http://ftp.dot.state.tx.us/pub/txdot-info/tpp/traffic_counts/2011/bry_base.pdf.

 

Farnsworth, S.; Voigt, T.; Borchardt, D. 2011. Alternative Methods for External Travel Surveys. 20 p.

 

Han, Y. 2007. Synthesized Through Trip Model For Small and Medium Urban Areas, Raleigh, NC. 342 p.

 

Horowitz, A.J.; Patel, M.H. 1999. Through Trip Tables for Small Urban Areas: A Method for Quick Response Travel Forecasting, Transportation Research Record: Journal of the Transportation Research Board. DOI: http://dx.doi.org/10.3141/1685-08, 1685(1999): 57-64.

 

Martchouk, M.; Fricker, J.D. 2009. Through-trip Matrices Using Discrete Choice Models: A Planning Tool for Smaller Cities. Presented at the Transportation Research Board 88th Annual Meeting. 13 p.

 

Ortuzar, J.de D.; Willumsen, L.G. 1994. Modelling Transport, 2nd ed. New York, USA. 454 p.

 

Talbot, E.S.; Burris, M.W.; Farnsworth, S. 2011. Estimating Through Trip Travel without External Surveys. Paper Submitted for Publication and Presentation at the Transportation Research Board Annual Meeting. 104-111.

 

Wilson, A.G. 1970. Entropy in Urban and Regional Modelling, London. 178 p.

 

Wilson, J.P. 2012. Evaluation of Origin/Destination Matrix Estimation Techniques to Support Aspects of Traffic Modeling, Huntsville. 233 p.

 

Xie, C.; Kockelman, K.M.; Waller, S.T. 2010. A Maximum Entropy Method for Subnetwork Origin-Destination Trip Matrix Estimation, Transportation Research Record: Journal of the Transportation Research Board. DOI: http://dx.doi.org/10.3141/2196-12, 2196(2010): 111-119.


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