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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2017. Guide for Identifying, Classifying, Evaluating, and Mitigating Truck Freight Bottlenecks. Washington, DC: The National Academies Press. doi: 10.17226/24807.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2017. Guide for Identifying, Classifying, Evaluating, and Mitigating Truck Freight Bottlenecks. Washington, DC: The National Academies Press. doi: 10.17226/24807.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2017. Guide for Identifying, Classifying, Evaluating, and Mitigating Truck Freight Bottlenecks. Washington, DC: The National Academies Press. doi: 10.17226/24807.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2017. Guide for Identifying, Classifying, Evaluating, and Mitigating Truck Freight Bottlenecks. Washington, DC: The National Academies Press. doi: 10.17226/24807.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2017. Guide for Identifying, Classifying, Evaluating, and Mitigating Truck Freight Bottlenecks. Washington, DC: The National Academies Press. doi: 10.17226/24807.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2017. Guide for Identifying, Classifying, Evaluating, and Mitigating Truck Freight Bottlenecks. Washington, DC: The National Academies Press. doi: 10.17226/24807.
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Suggested Citation:"References." National Academies of Sciences, Engineering, and Medicine. 2017. Guide for Identifying, Classifying, Evaluating, and Mitigating Truck Freight Bottlenecks. Washington, DC: The National Academies Press. doi: 10.17226/24807.
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107 1. Highway Capacity Manual: A Guide for Multimodal Mobility Analysis, 6th ed. Transportation Research Board, Washington, D.C., 2016. 2. Margiotta, R., B. Eisele, and J. Short. Freight Performance Measure Approaches for Bottlenecks, Arterials, and Linking Volumes to Congestion Report, Report No. FHWA-HOP-15-033, Federal Highway Admin- istration, Washington, D.C., August 2015. http://www.ops.fhwa.dot.gov/publications/fhwahop15033/ fhwahop15033.pdf. 3. Moghaddam, S., and B. Hellinga. Evaluating the Performance of Algorithms for the Detection of Travel Time Outliers. Transportation Research Record: Journal of the Transportation Research Board, No. 2338, Washington, D.C., 2013, pp. 67–77. http://dx.doi.org/10.3141/2338-08. 4. Stogios, Y. C., A. Brijmohan, H. Mahmassani, J. Kim, Y. Chen, and P. Vovsha. SHRP 2 Report S2-L04-RR-1: Incorporating Reliability Performance Measures into Operations and Planning Modeling Tools. Transportation Research Board of the National Academies, Washington, D.C., 2014. https://doi.org/10.17226/22388. 5. Eisele, W. L. Estimating Travel Time Mean and Variance Using Intelligent Transportation Systems Data for Real-time and Off-line Transportation Applications. Doctoral Dissertation, Texas A&M University. Publi- cation No. AAT 3011705, College Station, Texas, May 2001. 6. Eisele, W. L., B. Naik, and L. R. Rilett. Estimating Route Travel Time Reliability from Simultaneously Collected Link and Route Vehicle Probe Data and Roadway Sensor Data. International Journal of Urban Sciences, Volume 19, Number 3, ISSN 1226-5934, Taylor and Francis, Oxfordshire, United Kingdom, pp. 286–304, November 2015. 7. Isukapati, I. S., G. F. List, B. M. Williams, and A. F. Karr. 2013. Synthesizing Route Travel Time Distributions from Segment Travel Time Distributions. Transportation Research Record: Journal of the Transportation Research Board, No. 2396, pp. 71–81. DOI: 10.3141/2396-09. 8. List, G. L., B. Williams, N. Rouphail, R. Hranac, T. Barkley, E. Mai, A. Ciccarelli, L. Rodegerdts, K. Pincus, B. Nevers, A. Karr, X. Zhou, J. Wojtowicz, J. Schofer, and A. Khattak. SHRP 2 Report S2-LO2-RR-2: Guide to Establishing Monitoring Programs for Travel Time Reliability, Transportation Research Board of the National Academies, Washington, D.C., 2014, http://apps.trb.org/cmsfeed/TRBNetProjectDisplay. asp?ProjectID=2178. 9. Margiotta, R., B. Eisele, and J. Short. Freight Performance Measure Approaches for Bottlenecks, Arte- rials, and Linking Volumes to Congestion Report. Report No. FHWA-HOP-15-033, Federal Highway Administration, Washington, D.C., August 2015. http://www.ops.fhwa.dot.gov/publications/fhwahop 15033/fhwahop15033.pdf. 10. Arterial Data and Performance Monitoring Workshop, North American Travel Monitoring Exhibition and Conference (NATMEC). July 2014, Chicago, available: http://onlinepubs.trb.org/onlinepubs/conferences/ 2014/NATMEC/ArterialWorkshop.pdf. 11. Margiotta, R., B. Eisele, and J. Short. Freight Performance Measure Approaches for Bottlenecks, Arterials, and Linking Volumes to Congestion Report, Report No. FHWA-HOP-15-033, Federal Highway Admin- istration, Washington, D.C., August 2015. http://www.ops.fhwa.dot.gov/publications/fhwahop15033/ fhwahop15033.pdf. 12. Lomax, T., B. Wang, D. Schrank, W. Eisele, S. Turner, D. Ellis, Y. Li, N. Koncz, and L. Geng. Improving Mobility Information with Better Data and Estimation Procedures, No. UTCM 09-17-09, 2010. http://utcm. tamu.edu/publications/final_reports/Lomax_09-17-09.pdf. 13. Eisele, W. L., and D. L. Schrank. Conceptual Framework and Trucking Application to Estimate the Impact of Congestion on Freight. Transportation Research Record: Journal of the Transportation Research Board, No. 2168, 2010. References

108 Guide for Identifying, Classifying, Evaluating, and Mitigating Truck Freight Bottlenecks 14. AASHTO. Guidelines for Traffic Data Programs. American Association of State Highway and Transportation Officials, Washington, D.C., 2009. 15. AASHTO. Guidelines for Traffic Data Programs. American Association of State Highway and Transportation Officials, Washington, D.C., 2009. 16. FHWA. Traffic Monitoring Guide. Federal Highway Administration, September 2013, available: http://www. fhwa.dot.gov/policyinformation/tmguide/. 17. Hudson, J. G., N. Wood, B. Dai, and S. M. Turner. 2012. Roadway Congestion Analysis: Performance Report and Information System. Produced by the Texas A&M Transportation Institute for the Capital Area Metro- politan Planning Organization (CAMPO), Austin, Texas, September 2014. 18. AASHTO. Guidelines for Traffic Data Programs, American Association of State Highway and Transportation Officials, Washington, D.C., 2009. 19. AASHTO. 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Freight Performance Measure Approaches for Bottlenecks, Arte- rials, and Linking Volumes to Congestion Report, Report No. FHWA-HOP-15-033, Federal Highway Administration, Washington, D.C., August 2015. http://www.ops.fhwa.dot.gov/publications/fhwahop 15033/fhwahop15033.pdf. 23. Texas Department of Transportation. Texas 100 Most Congested Roadways List. Available: http://www.txdot. gov/inside-txdot/projects/100-congested-roadways.html. Last accessed: April 10, 2015. Note that the full ranking of all segments throughout Texas beyond the top 100 are available here: http://mobility.tamu.edu/ most-congested-texas/. 24. 2012 Indiana Mobility Report, available from http://docs.lib.purdue.edu/imr/3/ on November 11, 2014. 25. TTI. Urban Mobility Scorecard. https://mobility.tamu.edu/ums/. [Provides methods and values for the value of time delay for passenger cars and trucks. The values can be updated to the current year using the Consumer Price Index (CPI).] 26. U.S.DOT, Office of Operations. 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AZr6x0uv.dpufFRATIS. 31. American Association of State Highway and Transportation Officials (AASHTO). 2011. A Policy on Geo- metric Design of Highways and Streets, Sixth Edition. Washington, D.C. 32. Khattak, A. J., R. J. Schneider, and F. Targa. 2003. Risk Factors in Large Truck Rollovers and Injury Severity: Analysis of Single-Vehicle Collisions. Presented at 82nd Annual Meeting of the Transportation Research Board, Washington, D.C. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.463.4047&rep=rep1& type=pdf. 33. Donnell, E. T., M. L. Adolini, D. T. Torbic, J. M. Mason, and L. Elefteriadou. Truck Safety Considerations for Geometric Design and Traffic Operations. In Proceedings from ITE Annual Meeting, Institute of Transportation Engineers. August 2001. 34. ATRI. Mapping Larger Truck Rollovers: Identification and Mitigation Through Spatial Data Analysis, 2012, http://atri-online.org/2012/05/09/safety-impacts-of-roadway-geometric-design-standards- mapping-rollovers-and-designing-a-driver-information-delivery-system-2/. 35. Elefteriadou, L., D. W. Harwood, W. D. Glauz, J. Hawkins, J. McFadden, D. J. Torbic, and N. A. Webster. Evaluation of Limitations in Roadway Geometry and Impacts on Traffic Operations for Proposed Changes in Truck Size and Weight Policy. The Pennsylvania State University, July 1997.

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TRB's National Cooperative Highway Research Program (NCHRP) Research Report 854: Guide for Identifying, Classifying, Evaluating, and Mitigating Truck Freight Bottlenecks provides transportation agencies state-of-the-practice information on truck freight bottlenecks using truck probe data rather than traditional travel demand models. The report embraces a broad definition of truck freight bottlenecks as any condition that acts as an impediment to efficient truck travel, whether the bottleneck is caused by infrastructure shortcomings, regulations, weather, or special events. The comprehensive classification of truck freight bottleneck types described in this report provides a standard approach for state departments of transportation, metropolitan planning organizations, and other practitioners to define truck freight bottlenecks and quantify their impacts.

This project produced the following appendices available online:

  • Appendix A: Selected Details of State-of-the-Practice Review
  • Appendix B: Short Summaries of Selected Case Studies
  • Appendix C: Data Quality Control Examples
  • Appendix D: Additional Performance Measure Discussion and Analysis Procedures
  • Appendix E: Truck Bottlenecks and Geometrics

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