National Academies Press: OpenBook
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2019. Case Studies of Truck Activity Data for Emissions Modeling. Washington, DC: The National Academies Press. doi: 10.17226/25485.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2019. Case Studies of Truck Activity Data for Emissions Modeling. Washington, DC: The National Academies Press. doi: 10.17226/25485.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2019. Case Studies of Truck Activity Data for Emissions Modeling. Washington, DC: The National Academies Press. doi: 10.17226/25485.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2019. Case Studies of Truck Activity Data for Emissions Modeling. Washington, DC: The National Academies Press. doi: 10.17226/25485.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2019. Case Studies of Truck Activity Data for Emissions Modeling. Washington, DC: The National Academies Press. doi: 10.17226/25485.
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NCHRP Web-Only Document 261: Case Studies of Truck Activity Data for Emissions Modeling Christopher Porter Timothy Grose Cambridge Systematics, Inc. Medford, MA John Koupal Eastern Research Group, Inc. San Diego, CA Kanok Boriboonsomsin University of California at Riverside Riverside, CA George Noel Andrew Eilbert Volpe National Transportation Systems Center Cambridge, MA Appendices A–G to NCHRP Research Report 909 NCHRP Project 08-101 Submitted November 2018 ACKNOWLEDGMENT This work was sponsored by the American Association of State Highway and Transportation Officials (AASHTO), in cooperation with the Federal Highway Administration, and was conducted in the National Cooperative Highway Research Program (NCHRP), which is administered by the Transportation Research Board (TRB) of the National Academies of Sciences, Engineering, and Medicine. COPYRIGHT INFORMATION Authors herein are responsible for the authenticity of their materials and for obtaining written permissions from publishers or persons who own the copyright to any previously published or copyrighted material used herein. Cooperative Research Programs (CRP) grants permission to reproduce material in this publication for classroom and not-for-profit purposes. Permission is given with the understanding that none of the material will be used to imply TRB, AASHTO, FAA, FHWA, FMCSA, FRA, FTA, Office of the Assistant Secretary for Research and Technology, PHMSA, or TDC endorsement of a particular product, method, or practice. It is expected that those reproducing the material in this document for educational and not-for-profit uses will give appropriate acknowledgment of the source of any reprinted or reproduced material. For other uses of the material, request permission from CRP. DISCLAIMER The opinions and conclusions expressed or implied in this report are those of the researchers who performed the research. They are not necessarily those of the Transportation Research Board; the National Academies of Sciences, Engineering, and Medicine; or the program sponsors. The information contained in this document was taken directly from the submission of the author(s). This material has not been edited by TRB.

The National Academy of Sciences was established in 1863 by an Act of Congress, signed by President Lincoln, as a private, non- governmental institution to advise the nation on issues related to science and technology. Members are elected by their peers for outstanding contributions to research. Dr. Marcia McNutt is president. The National Academy of Engineering was established in 1964 under the charter of the National Academy of Sciences to bring the practices of engineering to advising the nation. Members are elected by their peers for extraordinary contributions to engineering. Dr. C. D. Mote, Jr., is president. The National Academy of Medicine (formerly the Institute of Medicine) was established in 1970 under the charter of the National Academy of Sciences to advise the nation on medical and health issues. Members are elected by their peers for distinguished contributions to medicine and health. Dr. Victor J. Dzau is president. The three Academies work together as the National Academies of Sciences, Engineering, and Medicine to provide independent, objective analysis and advice to the nation and conduct other activities to solve complex problems and inform public policy decisions. The National Academies also encourage education and research, recognize outstanding contributions to knowledge, and increase public understanding in matters of science, engineering, and medicine. Learn more about the National Academies of Sciences, Engineering, and Medicine at www.national-academies.org. The Transportation Research Board is one of seven major programs of the National Academies of Sciences, Engineering, and Medicine. The mission of the Transportation Research Board is to increase the benefits that transportation contributes to society by providing leadership in transportation innovation and progress through research and information exchange, conducted within a setting that is objective, interdisciplinary, and multimodal. The Board’s varied committees, task forces, and panels annually engage about 7,000 engineers, scientists, and other transportation researchers and practitioners from the public and private sectors and academia, all of whom contribute their expertise in the public interest. The program is supported by state transportation departments, federal agencies including the component administrations of the U.S. Department of Transportation, and other organizations and individuals interested in the development of transportation. Learn more about the Transportation Research Board at www.TRB.org.

C O O P E R A T I V E R E S E A R C H P R O G R A M S CRP STAFF FOR NCHRP Web-Only Document 261 Christoper J. Hedges, Director, Cooperative Research Programs Lori L. Sundstrom, Deputy Director, Cooperative Research Programs William C. Rogers, Senior Program Officer Jarrel McAfee, Senior Program Assistant Eileen P. Delaney, Director of Publications Natalie Barnes, Associate Director of Publications Ellen Chafee, Editor Jennifer Correro, Assistant Editor NCHRP PROJECT 08-101 PANEL FIELD OF TRANSPORTATION PLANNING—AREA OF FORECASTING Charles M. Baber, Baltimore Metropolitan Council, Baltimore, MD (Chair) Tae-Gyu Kim, North Carolina DOT, Raleigh, NC S. Natalie Liljenwall, Oregon DOT, Salem, OR Matt M. Miyasato, South Coast Air Quality Management District, Diamond Bar, CA Matthew J. Pahs, Washington State DOT, Tumwater, WA Mohammad R. Tayyaran, Transport Canada, Ottawa, ON Christopher G. Voigt, Virginia DOT, Richmond, VA Quon Kwan, FMCSA Liaison Victoria Martinez, FHWA Liaison Darrell B. Sonntag, U.S. Environmental Protection Agency Liaison Scott Babcock, TRB Liaison

iv Contents Appendix A. Case Study #1: Representative Operating Mode Distributions for Different Project Contexts .................................................................................. A-1 A.1 Emissions Model Inputs Supported ............................................................................ A-1 A.2 Level of Effort for Local Application ............................................................................ A-1 A.3 Overview .................................................................................................................... A-1 A.4 Data Sources .............................................................................................................. A-2 A.5 Data Processing and Analysis ................................................................................... A-2 A.6 Findings from Sample Data ........................................................................................ A-5 A.7 Transferability ........................................................................................................... A-35 Appendix B. Case Study #2: Age Distributions from Inspection Station Data ................... B-1 B.1 Emissions Model Inputs Supported ............................................................................ B-1 B.2 Level of Effort for Local Application ............................................................................ B-1 B.3 Overview .................................................................................................................... B-1 B.4 Data Sources .............................................................................................................. B-1 B.5 Data Processing and Analysis ................................................................................... B-2 B.6 Findings from Sample Data ...................................................................................... B-10 B.7 Transferability ........................................................................................................... B-34 Appendix C. Case Study #3: Truck Starts and Soak Time from GPS Data ......................... C-1 C.1 Emissions Model Inputs Supported ............................................................................ C-1 C.2 Level of Effort for Local Application ............................................................................ C-1 C.3 Overview .................................................................................................................... C-1 C.4 Data Sources .............................................................................................................. C-2 C.5 Data Processing and Analysis ................................................................................... C-2 C.6 Findings from Sample Data ........................................................................................ C-4 C.7 Transferability ........................................................................................................... C-13 Appendix D. Case Study #4: Truck Extended Idling and Starts from Fleet Telematics Data ......................................................................................... D-1 D.1 Emissions Model Inputs Supported ............................................................................ D-1 D.2 Level of Effort for Local Application ............................................................................ D-1 D.3 Overview .................................................................................................................... D-1 D.4 Data Sources .............................................................................................................. D-3 D.5 Data Processing and Analysis ................................................................................... D-5 D.6 Findings from Sample Data ...................................................................................... D-10 D.7 Transferability ........................................................................................................... D-19

v Appendix E. Case Study #5: Speed Distributions from the National Performance Management Research Data Set ................................................ E-1 E.1 Emissions Model Inputs Supported ............................................................................ E-1 E.2 Level of Effort for Local Application ............................................................................ E-1 E.3 Overview .................................................................................................................... E-1 E.4 Data Sources .............................................................................................................. E-2 E.5 Data Processing and Analysis ................................................................................... E-2 E.6 Findings from Sample Data ........................................................................................ E-4 E.7 Transferability ........................................................................................................... E-10 Appendix F. Case Study #6: Truck Activity Analyses from Localized Fleet Telematics Data ......................................................................................... F-1 F.1 Emissions Model Inputs Supported ............................................................................ F-1 F.2 Level of Effort for Local Application ............................................................................ F-1 F.3 Overview .................................................................................................................... F-1 F.4 Data Sources .............................................................................................................. F-3 F.5 Data Processing and Analysis ................................................................................... F-6 F.6 Findings from Sample Data ........................................................................................ F-8 F.7 Transferability ........................................................................................................... F-22 Appendix G. Case Study #7: Representative Drive Cycles for Different Project Contexts .................................................................................................. G-1 G.1 Emissions Model Inputs Supported ............................................................................ G-1 G.2 Level of Effort for Local Application ............................................................................ G-1 G.3 Overview .................................................................................................................... G-1 G.4 Data Sources .............................................................................................................. G-2 G.5 Data Processing and Analysis ................................................................................... G-2 G.6 Findings from Sample Data ........................................................................................ G-4 G.7 Transferability ........................................................................................................... G-18

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Case Studies of Truck Activity Data for Emissions Modeling Get This Book
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NCHRP Web-Only Document 261: Case Studies of Truck Activity Data for Emissions Modeling consists of seven case studies that are appendices A to G of NCHRP Report 909: Guide to Truck Activity Data for Emissions Modeling.

NCHRP Research Report 909 explores methods, procedures, and data sets needed to capture commercial vehicle activity, vehicle characteristics, and operations to assist in estimating and forecasting criteria pollutants, air toxics, and greenhouse gas emissions from goods and services movement.

NCHRP Research Report 909 is also supplemented by three MS Excel files that contain data from the case studies:

Case Studies #1 and #7

Case Study #2

Case Studies #3, #4, and #6

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