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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2014. Incorporating Reliability Performance Measures into Operations and Planning Modeling Tools: Application Guidelines. Washington, DC: The National Academies Press. doi: 10.17226/22387.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2014. Incorporating Reliability Performance Measures into Operations and Planning Modeling Tools: Application Guidelines. Washington, DC: The National Academies Press. doi: 10.17226/22387.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2014. Incorporating Reliability Performance Measures into Operations and Planning Modeling Tools: Application Guidelines. Washington, DC: The National Academies Press. doi: 10.17226/22387.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2014. Incorporating Reliability Performance Measures into Operations and Planning Modeling Tools: Application Guidelines. Washington, DC: The National Academies Press. doi: 10.17226/22387.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2014. Incorporating Reliability Performance Measures into Operations and Planning Modeling Tools: Application Guidelines. Washington, DC: The National Academies Press. doi: 10.17226/22387.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2014. Incorporating Reliability Performance Measures into Operations and Planning Modeling Tools: Application Guidelines. Washington, DC: The National Academies Press. doi: 10.17226/22387.
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Suggested Citation:"Front Matter." National Academies of Sciences, Engineering, and Medicine. 2014. Incorporating Reliability Performance Measures into Operations and Planning Modeling Tools: Application Guidelines. Washington, DC: The National Academies Press. doi: 10.17226/22387.
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Incorporating Reliability Performance Measures into Operations and Planning Modeling Tools Application Guidelines S2-L04-RW-2

TRANSPORTATION RESEARCH BOARD 2014 EXECUTIVE COMMITTEE* OFFICERS Chair: Kirk T. Steudle, Director, Michigan Department of Transportation, Lansing Vice Chair: Daniel Sperling, Professor of Civil Engineering and Environmental Science and Policy; Director, Institute of Transportation Studies, University of California, Davis Executive Director: Robert E. Skinner, Jr., Transportation Research Board MEMBERS Victoria A. Arroyo, Executive Director, Georgetown Climate Center, and Visiting Professor, Georgetown University Law Center, Washington, D.C. Scott E. Bennett, Director, Arkansas State Highway and Transportation Department, Little Rock Deborah H. Butler, Executive Vice President, Planning, and CIO, Norfolk Southern Corporation, Norfolk, Virginia (Past Chair, 2013) James M. Crites, Executive Vice President of Operations, Dallas–Fort Worth International Airport, Texas Malcolm Dougherty, Director, California Department of Transportation, Sacramento A. Stewart Fotheringham, Professor and Director, Centre for Geoinformatics, School of Geography and Geosciences, University of St. Andrews, Fife, United Kingdom John S. Halikowski, Director, Arizona Department of Transportation, Phoenix Michael W. Hancock, Secretary, Kentucky Transportation Cabinet, Frankfort Susan Hanson, Distinguished University Professor Emerita, School of Geography, Clark University, Worcester, Massachusetts Steve Heminger, Executive Director, Metropolitan Transportation Commission, Oakland, California Chris T. Hendrickson, Duquesne Light Professor of Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania Jeffrey D. Holt, Managing Director, Bank of Montreal Capital Markets, and Chairman, Utah Transportation Commission, Huntsville, Utah Gary P. LaGrange, President and CEO, Port of New Orleans, Louisiana Michael P. Lewis, Director, Rhode Island Department of Transportation, Providence Joan McDonald, Commissioner, New York State Department of Transportation, Albany Abbas Mohaddes, President and CEO, Iteris, Inc., Santa Ana, California Donald A. Osterberg, Senior Vice President, Safety and Security, Schneider National, Inc., Green Bay, Wisconsin Steven W. Palmer, Vice President of Transportation, Lowe’s Companies, Inc., Mooresville, North Carolina Sandra Rosenbloom, Professor, University of Texas, Austin (Past Chair, 2012) Henry G. (Gerry) Schwartz, Jr., Chairman (retired), Jacobs/Sverdrup Civil, Inc., St. Louis, Missouri Kumares C. Sinha, Olson Distinguished Professor of Civil Engineering, Purdue University, West Lafayette, Indiana Gary C. Thomas, President and Executive Director, Dallas Area Rapid Transit, Dallas, Texas Paul Trombino III, Director, Iowa Department of Transportation, Ames Phillip A. Washington, General Manager, Regional Transportation District, Denver, Colorado EX OFFICIO MEMBERS Thomas P. Bostick, (Lt. General, U.S. Army), Chief of Engineers and Commanding General, U.S. Army Corps of Engineers, Washington, D.C. Alison J. Conway, Assistant Professor, Department of Civil Engineering, City College of New York, New York, and Chair, TRB Young Members Council Anne S. Ferro, Administrator, Federal Motor Carrier Safety Administration, U.S. Department of Transportation David J. Friedman, Acting Administrator, National Highway Traffic Safety Administration, U.S. Department of Transportation LeRoy Gishi, Chief, Division of Transportation, Bureau of Indian Affairs, U.S. Department of the Interior, Washington, D.C. John T. Gray II, Senior Vice President, Policy and Economics, Association of American Railroads, Washington, D.C. Michael P. Huerta, Administrator, Federal Aviation Administration, U.S. Department of Transportation Paul N. Jaenichen, Sr., Acting Administrator, Maritime Administration, U.S. Department of Transportation Therese W. McMillan, Acting Administrator, Federal Transit Administration Michael P. Melaniphy, President and CEO, American Public Transportation Association, Washington, D.C. Victor M. Mendez, Administrator, Federal Highway Administration, and Deputy Secretary, U.S. Department of Transportation Cynthia L. Quarterman, Administrator, Pipeline and Hazardous Materials Safety Administration, U.S. Department of Transportation Peter M. Rogoff, Under Secretary for Policy, U.S. Department of Transportation Craig A. Rutland, U.S. Air Force Pavement Engineer, Air Force Civil Engineer Center, Tyndall Air Force Base, Florida Joseph C. Szabo, Administrator, Federal Railroad Administration, U.S. Department of Transportation Barry R. Wallerstein, Executive Officer, South Coast Air Quality Management District, Diamond Bar, California Gregory D. Winfree, Assistant Secretary for Research and Technology, Office of the Secretary, U.S. Department of Transportation Frederick G. (Bud) Wright, Executive Director, American Association of State Highway and Transportation Officials, Washington, D.C. Paul F. Zukunft, (Adm., U.S. Coast Guard), Commandant, U.S. Coast Guard, U.S. Department of Homeland Security * Membership as of July 2014.

THE SECOND STRATEGIC HIGHWAY RESEARCH PROGRAM Hani S. Mahmassani, Jiwon Kim, Tian Hou, and Alireza Talebpour Northwestern University Yannis Stogios and Andy Brijmohan Delcan Corporation Peter Vovsha Parsons Brinckerhoff TRANSPORTATION RESEARCH BOARD Washington, D.C. 2014 www.TRB.org Incorporating Reliability Performance Measures into Operations and Planning Modeling Tools: Application Guidelines SHRP 2 Report S2-L04-RW-2

SUBJECT AREAS Highways Operations and Traffic Management Planning and Forecasting

THE SECOND STRATEGIC HIGHWAY RESEARCH PROGRAM America’s highway system is critical to meeting the mobility and economic needs of local communities, regions, and the nation. Developments in research and technology—such as advanced materials, communications technology, new data collection technologies, and human factors science—offer a new opportunity to improve the safety and reliability of this important national resource. Breakthrough resolution of significant transportation problems, however, requires concentrated resources over a short time frame. Reflecting this need, the second Strategic Highway Research Program (SHRP 2) has an intense, large-scale focus, integrates mul- tiple fields of research and technology, and is fundamentally different from the broad, mission-oriented, discipline-based research programs that have been the mainstay of the high- way research industry for half a century. The need for SHRP 2 was identified in TRB Special Report 260: Strategic Highway Research: Saving Lives, Reducing Congestion, Improving Quality of Life, pub- lished in 2001 and based on a study sponsored by Congress through the Transportation Equity Act for the 21st Cen- tury (TEA-21). SHRP 2, modeled after the first Strategic Highway Research Program, is a focused, time-constrained, management-driven program designed to complement existing highway research programs. SHRP 2 focuses on applied research in four areas: Safety, to prevent or reduce the severity of highway crashes by understanding driver behavior; Renewal, to address the aging infrastruc- ture through rapid design and construction methods that cause minimal disruptions and produce lasting facilities; Reliability, to reduce congestion through incident reduc- tion, management, response, and mitigation; and Capacity, to integrate mobility, economic, environmental, and com- munity needs in the planning and designing of new trans- portation capacity. SHRP 2 was authorized in August 2005 as part of the Safe, Accountable, Flexible, Efficient Transportation Equity Act: A Legacy for Users (SAFETEA-LU). The pro- gram is managed by the Transportation Research Board (TRB) on behalf of the National Research Council (NRC). SHRP 2 is conducted under a memorandum of understand- ing among the American Association of State Highway and Transportation Officials (AASHTO), the Federal Highway Administration (FHWA), and the National Academy of Sci- ences, parent organization of TRB and NRC. The program provides for competitive, merit-based selection of research contractors; independent research project oversight; and dissemination of research results. SHRP 2 Report S2-L04-RW-2 ISBN: 978-0-309-27378-7 © 2014 National Academy of Sciences. All rights reserved. COPYRIGHT INFORMATION Authors herein are responsible for the authenticity of their materials and for obtaining written permissions from pub- lishers or persons who own the copyright to any previously published or copyrighted material used herein. The second Strategic Highway Research Program 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, or FHWA endorsement of a particular product, method, or practice. It is expected that those reproducing material in this document for educa- tional and not-for-profit purposes will give appropriate ac- knowledgment of the source of any reprinted or reproduced material. For other uses of the material, request permission from SHRP 2. Note: SHRP 2 report numbers convey the program, focus area, project number, and publication format. Report num- bers ending in “w” are published as web documents only. NOTICE The project that is the subject of this report was a part of the second Strategic Highway Research Program, conducted by the Transportation Research Board with the approval of the Governing Board of the National Research Council. The members of the technical committee selected to moni- tor this project and to review this report were chosen for their special competencies and with regard for appropriate balance. The report was reviewed by the technical commit- tee and accepted for publication according to procedures established and overseen by the Transportation Research Board and approved by the Governing Board of the National Research Council. The opinions and conclusions expressed or implied in this report are those of the researchers who performed the re- search and are not necessarily those of the Transportation Research Board, the National Research Council, or the pro- gram sponsors. The Transportation Research Board of the National Acad- emies, the National Research Council, and the sponsors of the second Strategic Highway Research Program do not en- dorse products or manufacturers. Trade or manufac turers’ names appear herein solely because they are considered essen tial to the object of the report. SHRP 2 REPORTS Available by subscription and through the TRB online bookstore: www.TRB.org/bookstore Contact the TRB Business Office: 202.334.3213 More information about SHRP 2: www.TRB.org/SHRP2

The National Academy of Sciences is a private, nonprofit, self-perpetuating society of distinguished schol- ars engaged in scientific and engineering research, dedicated to the furtherance of science and technology and to their use for the general welfare. On the authority of the charter granted to it by the Congress in 1863, the Academy has a mandate that requires it to advise the federal government on scientific and techni- cal matters. Dr. Ralph J. Cicerone is president of the National Academy of Sciences. The National Academy of Engineering was established in 1964, under the charter of the National Academy of Sciences, as a parallel organization of outstanding engineers. It is autonomous in its administration and in the selection of its members, sharing with the National Academy of Sciences the responsibility for advis- ing the federal government. The National Academy of Engineering also sponsors engineering programs aimed at meeting national needs, encourages education and research, and recognizes the superior achieve- ments of engineers. Dr. C. D. Mote, Jr., is president of the National Academy of Engineering. The Institute of Medicine was established in 1970 by the National Academy of Sciences to secure the ser- vices of eminent members of appropriate professions in the examination of policy matters pertaining to the health of the public. The Institute acts under the responsibility given to the National Academy of Sci- ences by its congressional charter to be an adviser to the federal government and, upon its own initiative, to identify issues of medical care, research, and education. Dr. Victor J. Dzau is president of the Institute of Medicine. The National Research Council was organized by the National Academy of Sciences in 1916 to associate the broad community of science and technology with the Academy’s purposes of furthering knowledge and advising the federal government. Functioning in accordance with general policies determined by the Academy, the Council has become the principal operating agency of both the National Academy of Sci- ences and the National Academy of Engineering in providing services to the government, the public, and the scientific and engineering communities. The Council is administered jointly by both Academies and the Institute of Medicine. Dr. Ralph J. Cicerone and Dr. C. D. Mote, Jr., are chair and vice chair, respectively, of the National Research Council. The Transportation Research Board is one of six major divisions of the National Research Council. The mission of the Transportation Research Board is to provide leadership in transportation innovation and progress through research and information exchange, conducted within a setting that is objective, inter- disciplinary, and multimodal. The Board’s varied activities annually engage about 7,000 engineers, sci- entists, 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. www.TRB.org www.national-academies.org

SHRP 2 STAFF Ann M. Brach, Director Stephen J. Andrle, Deputy Director Neil J. Pedersen, Deputy Director, Implementation and Communications Cynthia Allen, Editor Kenneth Campbell, Chief Program Officer, Safety JoAnn Coleman, Senior Program Assistant, Capacity and Reliability Eduardo Cusicanqui, Financial Officer Richard Deering, Special Consultant, Safety Data Phase 1 Planning Walter Diewald, Senior Program Officer, Safety Shantia Douglas, Senior Financial Assistant Charles Fay, Senior Program Officer, Safety Carol Ford, Senior Program Assistant, Renewal and Safety Jo Allen Gause, Senior Program Officer, Capacity Rosalind Gomes, Accounting/Financial Assistant James Hedlund, Special Consultant, Safety Coordination Alyssa Hernandez, Reports Coordinator Ralph Hessian, Special Consultant, Capacity and Reliability Andy Horosko, Special Consultant, Safety Field Data Collection William Hyman, Senior Program Officer, Reliability Linda Mason, Communications Officer Reena Mathews, Senior Program Officer, Capacity and Reliability Matthew Miller, Program Officer, Capacity and Reliability Michael Miller, Senior Program Assistant, Capacity and Reliability David Plazak, Senior Program Officer, Capacity Rachel Taylor, Senior Editorial Assistant Dean Trackman, Managing Editor Connie Woldu, Administrative Coordinator

This work was sponsored by the Federal Highway Administration in cooperation with the American Association of State Highway and Transportation Officials. It was con- ducted in the second Strategic Highway Research Program (SHRP 2), which is admin- istered by the Transportation Research Board of the National Academies. The project was managed by William Hyman, SHRP 2 Senior Program Officer, Reliability. ACKNOWLEDGMENTS

FOREWORD The Incorporating Reliability Performance Measures into Planning and Operations Modeling Tools project explored how to address reliability using micro- and meso- simulation models. In addition, it provided guidance on how to address reliability in other modeling systems, namely in traditional demand forecasting models and with activity-based models coupled with dynamic traffic assignment models. Substantial advances were made in this project, both conceptually and in terms of practical prod- ucts produced. This research should be of interest to those concerned with modeling travel time reliability and using the results for transportation system management and opera- tions. The audience for the reports and products resulting from this research includes researchers, planners, traffic engineers, vendors of simulation models, consultants who work hand in hand with transportation agencies, and decision makers concerned with highway operations. Early in the project the researchers set out a framework for incorporating reliability into planning and operation models that distinguishes between the demand and supply side. Travel demand may be static, as in typical planning models; dynamic for planning and operational models; or activity-based. Supply—in other words, the capacity of each part of the network—may be fixed, stochastic, or systematically varying. The SHRP 2 Reliability focus area identified seven sources of nonrecurring conges- tion: incidents, weather, work zones, special events, traffic control devices not working properly, unusual fluctuations in demand, and bottlenecks that can exacerbate these sources of unreliability. These nonrecurring sources of congestion can affect supply, demand, or both; for example, work zones affect supply; special events, demand; and incidents and weather, both. These supply and demand factors influence the travel time for origin–destination (O-D) pairs across the network and, in turn, the distribution of travel time from which various reliability measures can be derived. William Hyman SHRP 2 Senior Program Officer, Reliability

To explain how to address reliability when using micro- and mesosimulation models, the framework was extended to distinguish between sources of nonrecurring congestion external (exogenous) to a simulation model and internal (endogenous) to it. Exogenous factors include incidents, weather, and work zones, whereas endogenous factors include heterogeneity of driver behavior and vehicle type on the demand side and breakdown of flow, traffic control, and differences in car-following behavior on the supply side. Microsimulation models are widely used in the transportation field to understand how vehicles behave in detailed settings, such as a series of traffic signals along an arterial street, freeway onramps, or a small network of roads. Mesosimulation models are suitable for higher-resolution analysis and can be applied to networks of varying sizes, including an entire region. Both micro- and mesosimulation models are based on some form of traffic physics, in contrast to a standard four-step demand model. This project focused considerable attention on how micro- and mesosimulation models could address travel time reliability. The essence of the approach is to sandwich a simulation model between a pre- and post-processor such that together, all three components can portray travel time reliability on a network or part of it. The researchers developed two software prototypes that were tested with both a widely used mesosimulation model and a widely used microsimulation model. The first software prototype, the Scenario Manager, consisted of the pre-processor for either type of simulation model. The Scenario Manager produces random scenarios involving various sources of nonrecurring congestion such as traffic incidents, weather, and work zones. It can also address scenarios based on historical data or scenarios previously constructed for planning purposes. The other software prototype is the Trajectory Processor. This post-processor determines the distribution of travel time for every O-D pair on a network. Nearly all the travel time reliability metrics, includ- ing standard deviation and the Planning Time Index, can be derived from the travel time distribution. For information about how to use the two prototypes, see their user guides. For more information about the Scenario Manager and the Trajectory Processor, see the project’s main report, SHRP 2 Report S2-L04-RR-1: Incorporating Reliability Performance Measures into Operations and Planning Modeling Tools. The research produced this document, SHRP 2 Report S2-L04-RR-1: Incorporat- ing Reliability Performance Measures into Operations and Planning Modeling Tools: Application Guidelines, for a micro- or mesosimulation model with pre- and post- processors. Private sector software vendors may wish to closely examine the proto type software to determine the merits of incorporating similar capability into the products they have on the market. The application guidelines and user guides should help private vendors make informed decisions. It is worth noting that a similar scenario manager and procedures for compil- ing the distribution of travel time were also developed and applied in the SHRP 2 project Incorporation of Travel Time Reliability into the Highway Capacity Manual. The Transportation Research Board Committee on Highway Capacity and Quality of Service approved a motion to incorporate this new approach into the Highway Capacity Manual.

The SHRP 2 L04 project also drew on earlier work performed in the SHRP 2 Capacity focus area under a project titled Improving our Understanding of How High- way Congestion and Pricing Affect Travel Demand (SHRP 2 C02). Reliability was introduced into successively richer utility functions, beginning with the traditional variables of out-of-pocket costs and travel time, and progressively adding other vari- ables including travel time reliability. The researchers describe how to place a value on travel time reliability given other relevant terms in the utility function and empha- size that the value of reliability is not a constant; rather, it varies with such factors as vehicle occupancy and household income. This project on incorporating reliability into planning and operation models absorbed important aspects of the earlier research performed within the SHRP 2 Capacity focus area. Finally, a substantial effort was undertaken within this project to provide guidance on how to integrate reliability into a modeling system that uses activity-based models on the demand side and a fine-grained, time-sensitive model on the supply side (e.g., a mesosimulation model). This guidance appears in the project’s reference material report (SHRP 2 Report S2-L04-RR-1: Incorporating Reliability Performance Mea- sures into Operations and Planning Modeling Tools: Reference Material).

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TRB’s second Strategic Highway Research Program (SHRP 2) Report S2-L04-RW-2: Incorporating Reliability Performance Measures into Operations and Planning Modeling Tools: Application Guidelines provides an overview of the methodology and tools that can be applied to existing microsimulation and mesoscopic modeling software in order to assess travel time reliability.

SHRP 2 Reliability Project L04 also produced a report titled Incorporating Reliability Performance Measures into Operations and Planning Modeling Tools that explores the underlying conceptual foundations of travel modeling and traffic simulation and provides practical means of generating realistic reliability performance measures using network simulation models.

SHRP 2 Reliability Project L04 also produced another publication titled Incorporating Reliability Performance Measures into Operations and Planning Modeling Tools: Reference Material that discusses the activities required to develop operational models to address the needs of the L04 research project.

The L04 project also produced two pieces of software and accompanying user’s guides: the Trajectory Processor and the Scenario Manager.

Software Disclaimer: These materials are offered as is, without warranty or promise of support of any kind, either expressed or implied. Under no circumstance will the National Academy of Sciences or the Transportation Research Board (collectively “TRB”) be liable for any loss or damage caused by the installation or operation of these materials. TRB makes no representation or warranty of any kind, expressed or implied, in fact or in law, including without limitation, the warranty of merchantability or the warranty of fitness for a particular purpose, and shall not in any case be liable for any consequential or special damages.

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