The FHWA Computation Procedure for the Pavement Condition Measures presents the steps for Federal Highway Administration (FHWA) to compute pavement condition measures for the purpose of determining: (1) the minimum Interstate pavement condition level for each State (23 CFR 490.317); and (2) whether or not a State DOT has made significant progress t
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Grogg, M., Van, T., Rozycki, R., Vaughn, R., Roff, T., Clarke, J., Beatty, W., Buck, J., Christenson, A., & Chang, C. (2018). FHWA Computation Procedure for the Pavement Condition Measures (Report No. FHWA-HIF-18-022). United States. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/38327
Grogg, Max, Thomas Van, Robert Rozycki, Ronald Vaughn, Thomas Roff, Justin Clarke, William Beatty, Jonathan Buck, Anne Christenson, and Chris Chang. FHWA Computation Procedure for the Pavement Condition Measures. Report no. FHWA-HIF-18-022. United States. Federal Highway Administration, 2018. https://rosap.ntl.bts.gov/view/dot/38327.
Grogg, Max, et al. FHWA Computation Procedure for the Pavement Condition Measures. United States. Federal Highway Administration, 2018, Report no. FHWA-HIF-18-022, ROSA P. https://rosap.ntl.bts.gov/view/dot/38327.
United States. Department of Transportation. Federal Highway Administration
2018-04-01
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Memoranda & Guidance: Guidance
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This guidance defines the steps necessary to implement the statutory requirements to request earmarks to be repurposed.
United States. Department of Transportation. Federal Highway Administration (2018). FY 2018 Earmark Repurposing Process. United States. Department of Transportation. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/78316
United States. Department of Transportation. Federal Highway Administration. FY 2018 Earmark Repurposing Process. United States. Department of Transportation. Federal Highway Administration, 2018. https://rosap.ntl.bts.gov/view/dot/78316.
United States. Department of Transportation. Federal Highway Administration FY 2018 Earmark Repurposing Process. United States. Department of Transportation. Federal Highway Administration, 2018, ROSA P. https://rosap.ntl.bts.gov/view/dot/78316.
This report presents the steps for the Federal Highway Administration (FHWA) to compute measures for the purpose of determining whether a State Department of Transportation (DOT) has made significant progress towards the achievement of its National Highway Performance Program and National Highway Freight Program targets (23 CFR 490.109). While desi
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Taylor, R., Purdy, J. E., Roff, T., Clarke, J., Vaughn, R., Rozycki, R., & Chang, C. (2018). FHWA Computation Procedure for Travel Time Based and Percent Non-Single Occupancy Vehicle (non-SOV) Travel Performance Measures (Report No. FHWA-HIF-18-024). United States. Department of Transportation. Federal Highway Administration. Office of Infrastructure. https://rosap.ntl.bts.gov/view/dot/43547
Taylor, Rich, Jeffrey E Purdy, Thomas Roff, Justin Clarke, Ronald Vaughn, Robert Rozycki, and Chris Chang. FHWA Computation Procedure for Travel Time Based and Percent Non-Single Occupancy Vehicle (non-SOV) Travel Performance Measures. Report no. FHWA-HIF-18-024. United States. Department of Transportation. Federal Highway Administration. Office of Infrastructure, 2018. https://rosap.ntl.bts.gov/view/dot/43547.
Taylor, Rich, et al. FHWA Computation Procedure for Travel Time Based and Percent Non-Single Occupancy Vehicle (non-SOV) Travel Performance Measures. United States. Department of Transportation. Federal Highway Administration. Office of Infrastructure, 2018, Report no. FHWA-HIF-18-024, ROSA P. https://rosap.ntl.bts.gov/view/dot/43547.
This How-to guide presents new incremental improvements to trip-based models to enhance the representation of nonhome-based trips. These techniques are designed to be inexpensive enhancements to existing trip-based models that can be implemented quickly in a straightforward manner as part of a model update without requiring the development of a who
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Bernardin, V., & Chen, J. (2018). How-to: Improve Non-Home-Based Trips (Report No. FHWA-HEP-20-035). United States. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/55799
Bernardin, Vince and Jason Chen. How-to: Improve Non-Home-Based Trips. Report no. FHWA-HEP-20-035. United States. Federal Highway Administration, 2018. https://rosap.ntl.bts.gov/view/dot/55799.
Bernardin, Vince, and Jason Chen How-to: Improve Non-Home-Based Trips. United States. Federal Highway Administration, 2018, Report no. FHWA-HEP-20-035, ROSA P. https://rosap.ntl.bts.gov/view/dot/55799.
The Federal Highway Administration's (FHWA's) Fostering Multimodal Connectivity Newsletter is intended to provide transportation professionals with real-world examples of ways that multimodal transportation investments promote economic revitalization, provide access to jobs, and achieve safer communities through support of accelerated project deliv
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United States. Federal Highway Administration (2018). FHWA's Fostering Multimodal Connectivity Newsletter - April 2018 (Report No. FHWA-HEP-18-045). United States. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/49099
United States. Federal Highway Administration. FHWA's Fostering Multimodal Connectivity Newsletter - April 2018. Report no. FHWA-HEP-18-045. United States. Federal Highway Administration, 2018. https://rosap.ntl.bts.gov/view/dot/49099.
United States. Federal Highway Administration FHWA's Fostering Multimodal Connectivity Newsletter - April 2018. United States. Federal Highway Administration, 2018, Report no. FHWA-HEP-18-045, ROSA P. https://rosap.ntl.bts.gov/view/dot/49099.
The Development of Crash Modification Factors program conducted safety evaluation of horizontal curve realignment on rural, two-lane roads for the Evaluation of Low Cost Safety Improvements Pooled Fund Study. The goal of this evaluation is to evaluate the safety effectiveness of this strategy. This strategy sought to reduce lane departure crashes,
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Srinivasan, R., Carter, D., Lyon, C., & Albee, M. (2018). Safety Evaluation of Horizontal Curve Realignment on Rural Two-Lane Roads (Report No. FHWA-HRT-17-066;HRDS-20/04-18(200)E). United States. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/37527
Srinivasan, Raghavan, Daniel Carter, Craig Lyon, and Matt Albee. Safety Evaluation of Horizontal Curve Realignment on Rural Two-Lane Roads. Report no. FHWA-HRT-17-066;HRDS-20/04-18(200)E. United States. Federal Highway Administration, 2018. https://rosap.ntl.bts.gov/view/dot/37527.
Srinivasan, Raghavan, et al. Safety Evaluation of Horizontal Curve Realignment on Rural Two-Lane Roads. United States. Federal Highway Administration, 2018, Report no. FHWA-HRT-17-066;HRDS-20/04-18(200)E, ROSA P. https://rosap.ntl.bts.gov/view/dot/37527.
United States. Federal Highway Administration. Office of Bridges and Structures
2018-04-01
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This guide defines bridge preservation terms and identifies commonly practiced bridge preservation activities. It also provides guidance to State governments and other bridge-owning agencies on establishing or improving existing bridge preservation programs as part of an asset management program.
United States. Federal Highway Administration. Office of Bridges and Structures (2018). Bridge Preservation Guide Maintaining a Resilient Infrastructure to Preserve Mobility (Report No. FHWA-HIF-18-022). United States. Federal Highway Administration. Office of Bridges and Structures. https://rosap.ntl.bts.gov/view/dot/43527
United States. Federal Highway Administration. Office of Bridges and Structures. Bridge Preservation Guide Maintaining a Resilient Infrastructure to Preserve Mobility. Report no. FHWA-HIF-18-022. United States. Federal Highway Administration. Office of Bridges and Structures, 2018. https://rosap.ntl.bts.gov/view/dot/43527.
United States. Federal Highway Administration. Office of Bridges and Structures Bridge Preservation Guide Maintaining a Resilient Infrastructure to Preserve Mobility. United States. Federal Highway Administration. Office of Bridges and Structures, 2018, Report no. FHWA-HIF-18-022, ROSA P. https://rosap.ntl.bts.gov/view/dot/43527.
Learning in Progress, NHI's quarterly newsletter, provides updates on new course launches, upcoming Web conference seminars, training programs and events, and NHI policy changes.
National Highway Institute (U.S.) (2018). Learning in Progress: Improving the Performance of the Transportation Industry Through Training - April 2018. National Highway Institute (U.S.). https://rosap.ntl.bts.gov/view/dot/54842
National Highway Institute (U.S.). Learning in Progress: Improving the Performance of the Transportation Industry Through Training - April 2018. National Highway Institute (U.S.), 2018. https://rosap.ntl.bts.gov/view/dot/54842.
National Highway Institute (U.S.) Learning in Progress: Improving the Performance of the Transportation Industry Through Training - April 2018. National Highway Institute (U.S.), 2018, ROSA P. https://rosap.ntl.bts.gov/view/dot/54842.
United States. Department of Transportation. Federal Highway Administration
2018-04-01
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This document provides guidance and direction to the FHWA Division Bridge Engineers in performing National Bridge Inspection Program (NBIP) compliance reviews of State bridge safety inspection programs. The term “reviewer” refers to the FHWA Division Bridge Engineer. The term “State” refers to either a State DOT or Federal agency being reviewed. Th
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United States. Department of Transportation. Federal Highway Administration (2018). National Bridge Inspection Program: Compliance Review Manual. United States. Department of Transportation. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/73036
United States. Department of Transportation. Federal Highway Administration. National Bridge Inspection Program: Compliance Review Manual. United States. Department of Transportation. Federal Highway Administration, 2018. https://rosap.ntl.bts.gov/view/dot/73036.
United States. Department of Transportation. Federal Highway Administration National Bridge Inspection Program: Compliance Review Manual. United States. Department of Transportation. Federal Highway Administration, 2018, ROSA P. https://rosap.ntl.bts.gov/view/dot/73036.
Travel forecasts inherently embody some level of uncertainty as a result of uncertainties around many of the key inputs, simplifications, and statistical methods that are used to derive those forecasts. This uncertainty translates into risks that decisions based on the forecasts will be misguided - either failing to meet objectives or simply not pe
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Chen, J., Bernardin, V., Tuttle, S., & Trevino, S. (2018). How-to: Quantify Uncertainty in Travel Forecasts (Report No. FHWA-HEP-20-021). United States. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/55800
Chen, Jason, Vince Bernardin, Steve Tuttle, and Steven Trevino. How-to: Quantify Uncertainty in Travel Forecasts. Report no. FHWA-HEP-20-021. United States. Federal Highway Administration, 2018. https://rosap.ntl.bts.gov/view/dot/55800.
Chen, Jason, et al. How-to: Quantify Uncertainty in Travel Forecasts. United States. Federal Highway Administration, 2018, Report no. FHWA-HEP-20-021, ROSA P. https://rosap.ntl.bts.gov/view/dot/55800.
United States. Department of Transportation. Federal Highway Policy & Guidance Center
2018-04-01
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Memoranda & Guidance: Guidance
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In this document, Federal Highway Administration (FHWA) provides average vehicle occupancy (AVO) factors for computing: (1) Travel Time Reliability measures; and (2) Total Peak Hour Excessive Delay (PHED) metrics.
United States. Department of Transportation. Federal Highway Policy & Guidance Center (2018). Average Vehicle Occupancy Factors for Computing Travel Time Reliability Measures and Total Peak Hour Excessive Delay Metrics. United States. Department of Transportation. Federal Highway Policy & Guidance Center. https://rosap.ntl.bts.gov/view/dot/77942
United States. Department of Transportation. Federal Highway Policy & Guidance Center. Average Vehicle Occupancy Factors for Computing Travel Time Reliability Measures and Total Peak Hour Excessive Delay Metrics. United States. Department of Transportation. Federal Highway Policy & Guidance Center, 2018. https://rosap.ntl.bts.gov/view/dot/77942.
United States. Department of Transportation. Federal Highway Policy & Guidance Center Average Vehicle Occupancy Factors for Computing Travel Time Reliability Measures and Total Peak Hour Excessive Delay Metrics. United States. Department of Transportation. Federal Highway Policy & Guidance Center, 2018, ROSA P. https://rosap.ntl.bts.gov/view/dot/77942.
This report summarizes noteworthy presentations and results of a Create-a-FutureTM activity that took place during a scenario planning workshop, hosted by the Metropolitan Transportation Commission/Association of Bay Area Governments, on April 23-24, 2018, in San Francisco, CA. The Federal Highway Administration (FHWA) sponsored this event as part
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Overton, J., & McBrien, R. S. (2018). Metropolitan Transportation Commission/Association of Bay Area Governments Scenario Planning Workshop; Sponsored by the Federal Highway Administration (Report No. FHWA-HEP-19-017;DOT-VNTSC-FHWA-18-19). United States. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/54040
Overton, Jenna and Rachel Strauss McBrien. Metropolitan Transportation Commission/Association of Bay Area Governments Scenario Planning Workshop; Sponsored by the Federal Highway Administration. Report no. FHWA-HEP-19-017;DOT-VNTSC-FHWA-18-19. United States. Federal Highway Administration, 2018. https://rosap.ntl.bts.gov/view/dot/54040.
Overton, Jenna, and Rachel Strauss McBrien Metropolitan Transportation Commission/Association of Bay Area Governments Scenario Planning Workshop; Sponsored by the Federal Highway Administration. United States. Federal Highway Administration, 2018, Report no. FHWA-HEP-19-017;DOT-VNTSC-FHWA-18-19, ROSA P. https://rosap.ntl.bts.gov/view/dot/54040.
This document is a technical summary of the Federal Highway Administration report "Alternative Contracting Method Performance in U.S. Highway Construction" (DTFH61-13-C-00024).
United States. Federal Highway Administration (2018). Alternative Contracting Method Performance in U.S. Highway Construction [techbrief] (Report No. FHWA-HRT-17-100;HRDI-20/04-18(200)E). United States. Federal Highway Administration. Office of Research, Development, and Technology. https://rosap.ntl.bts.gov/view/dot/37525
United States. Federal Highway Administration. Alternative Contracting Method Performance in U.S. Highway Construction [techbrief]. Report no. FHWA-HRT-17-100;HRDI-20/04-18(200)E. United States. Federal Highway Administration. Office of Research, Development, and Technology, 2018. https://rosap.ntl.bts.gov/view/dot/37525.
United States. Federal Highway Administration Alternative Contracting Method Performance in U.S. Highway Construction [techbrief]. United States. Federal Highway Administration. Office of Research, Development, and Technology, 2018, Report no. FHWA-HRT-17-100;HRDI-20/04-18(200)E, ROSA P. https://rosap.ntl.bts.gov/view/dot/37525.
United States. Department of Transportation. Federal Highway Administration. Turner-Fairbank Highway Research Center
2018-04-01
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This document is a technical summary of the Federal Highway Administration report "Validation of Pavement Performance Measures Using LTPP Data," Publication No. FHWA-HRT-17-089.
United States. Department of Transportation. Federal Highway Administration. Turner-Fairbank Highway Research Center (2018). Validation of Pavement Performance Measures Using Long-Term Pavement Performance Data: [techbrief] (Report No. FHWA-HRT-17-105;HRDI-30/04-18(200)E). United States. Federal Highway Administration. Office of Research, Development, and Technology. https://rosap.ntl.bts.gov/view/dot/37526
United States. Department of Transportation. Federal Highway Administration. Turner-Fairbank Highway Research Center. Validation of Pavement Performance Measures Using Long-Term Pavement Performance Data: [techbrief]. Report no. FHWA-HRT-17-105;HRDI-30/04-18(200)E. United States. Federal Highway Administration. Office of Research, Development, and Technology, 2018. https://rosap.ntl.bts.gov/view/dot/37526.
United States. Department of Transportation. Federal Highway Administration. Turner-Fairbank Highway Research Center Validation of Pavement Performance Measures Using Long-Term Pavement Performance Data: [techbrief]. United States. Federal Highway Administration. Office of Research, Development, and Technology, 2018, Report no. FHWA-HRT-17-105;HRDI-30/04-18(200)E, ROSA P. https://rosap.ntl.bts.gov/view/dot/37526.
United States. Department of Transportation. Federal Highway Administration. Office of Safety
2018-04-01
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This flyer lists twenty proven safety countermeasures from the following categories: roadway departure, intersections, pedestrians/bicycles, and crosscutting.
United States. Department of Transportation. Federal Highway Administration. Office of Safety (2018). Making Our Roads Safer One Countermeasure at a Time: 20 Proven Safety Countermeasures that Offer Significant and Measurable Impacts to Improving Safety (Report No. FHWA-SA-18-029). United States. Department of Transportation. Federal Highway Administration. Office of Safety. https://rosap.ntl.bts.gov/view/dot/49587
United States. Department of Transportation. Federal Highway Administration. Office of Safety. Making Our Roads Safer One Countermeasure at a Time: 20 Proven Safety Countermeasures that Offer Significant and Measurable Impacts to Improving Safety. Report no. FHWA-SA-18-029. United States. Department of Transportation. Federal Highway Administration. Office of Safety, 2018. https://rosap.ntl.bts.gov/view/dot/49587.
United States. Department of Transportation. Federal Highway Administration. Office of Safety Making Our Roads Safer One Countermeasure at a Time: 20 Proven Safety Countermeasures that Offer Significant and Measurable Impacts to Improving Safety. United States. Department of Transportation. Federal Highway Administration. Office of Safety, 2018, Report no. FHWA-SA-18-029, ROSA P. https://rosap.ntl.bts.gov/view/dot/49587.
This report describes the experiment on how to model impacts of connected and autonomous/automated vehicles (CAVs) and ride-hailing with an Activity-Based Model (ABM) and Dynamic Traffic Assignment (DTA) in the context of Exploratory Modeling and Analysis (EMA). EMA is a systematic approach to perform sensitivity analyses using models when users ca
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Stabler, B., Bradley, M., Morgan, D., Slavin, H., & Haque, K. (2018). Volume 2: Model Impacts of Connected and Autonomous/Automated Vehicles (CAVs) and Ride-Hailing with an Activity-Based Model (ABM) and Dynamic Traffic Assignment (DTA)-An Experiment (Report No. FHWA-HEP-18-081). United States. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/55802
Stabler, Ben, Mark Bradley, Dan Morgan, Howard Slavin, and Khademul Haque. Volume 2: Model Impacts of Connected and Autonomous/Automated Vehicles (CAVs) and Ride-Hailing with an Activity-Based Model (ABM) and Dynamic Traffic Assignment (DTA)-An Experiment. Report no. FHWA-HEP-18-081. United States. Federal Highway Administration, 2018. https://rosap.ntl.bts.gov/view/dot/55802.
Stabler, Ben, et al. Volume 2: Model Impacts of Connected and Autonomous/Automated Vehicles (CAVs) and Ride-Hailing with an Activity-Based Model (ABM) and Dynamic Traffic Assignment (DTA)-An Experiment. United States. Federal Highway Administration, 2018, Report no. FHWA-HEP-18-081, ROSA P. https://rosap.ntl.bts.gov/view/dot/55802.
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information
2018-04-01
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Traffic Volume Trends is a monthly report based on hourly traffic count data reported by the States. These data are collected at approximately 5,000 continuous traffic counting locations nationwide and are used to estimate the percent change in traffic for the current month compared with the same month in the previous year. Estimates are re-adjuste
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United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information (2018). Traffic Volume Trends: April 2018. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information. https://rosap.ntl.bts.gov/view/dot/50052
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information. Traffic Volume Trends: April 2018. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information, 2018. https://rosap.ntl.bts.gov/view/dot/50052.
United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information Traffic Volume Trends: April 2018. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information, 2018, ROSA P. https://rosap.ntl.bts.gov/view/dot/50052.
2018-04-01
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FHWA Highway History Website Articles
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State Highway History bibliography.
Weingroff, R. F. (2018). Highway History Bibliography: State Highway Histories. United States. Department of Transportation. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/68576
Weingroff, Richard F.. Highway History Bibliography: State Highway Histories. United States. Department of Transportation. Federal Highway Administration, 2018. https://rosap.ntl.bts.gov/view/dot/68576.
Weingroff, Richard F. Highway History Bibliography: State Highway Histories. United States. Department of Transportation. Federal Highway Administration, 2018, ROSA P. https://rosap.ntl.bts.gov/view/dot/68576.
This report presents the steps for Federal Highway Administration (FHWA) to compute bridge condition measures for the purpose of determining: (1) the minimum bridge condition level for each State (23 CFR 490.411); and (2) whether a State Department of Transportation (DOT) has made significant progress towards the achievement of its bridge condition
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Blades, D., Constable, D., Lubkin, S., Matias, E., Beatty, W., Buck, J., Rozycki, R., Christenson, A., & Chang, C. (2018). FHWA Computation Procedure for the Bridge Condition Measures (Report No. FHWA-HIF-18-023). United States. Department of Transportation. Federal Highway Administration. Office of Infrastructure. https://rosap.ntl.bts.gov/view/dot/43548
Blades, Douglas, Derek Constable, Samantha Lubkin, Everett Matias, William Beatty, Jonathan Buck, Robert Rozycki, Anne Christenson, and Chris Chang. FHWA Computation Procedure for the Bridge Condition Measures. Report no. FHWA-HIF-18-023. United States. Department of Transportation. Federal Highway Administration. Office of Infrastructure, 2018. https://rosap.ntl.bts.gov/view/dot/43548.
Blades, Douglas, et al. FHWA Computation Procedure for the Bridge Condition Measures. United States. Department of Transportation. Federal Highway Administration. Office of Infrastructure, 2018, Report no. FHWA-HIF-18-023, ROSA P. https://rosap.ntl.bts.gov/view/dot/43548.
United States. Department of Transportation. Federal Highway Administration. Office of Research, Development, and Technology
2018-04-01
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This TechBrief provides an overview of micro-sampling and micro-extraction of hot or warm mix asphalt pavement. Micro-sampling and micro-extraction have just recently become feasible because of the development of 4-mm dynamic shear rheometry (DSR).
United States. Department of Transportation. Federal Highway Administration. Office of Research, Development, and Technology (2018). Asphalt Pavement : Micro-Sampling and Micro-Extraction Methods : [techbrief] (Report No. FHWA-HRT-15-051;HRDI-10/02-18(200)E). United States. Federal Highway Administration. Office of Research, Development, and Technology. https://rosap.ntl.bts.gov/view/dot/37552
United States. Department of Transportation. Federal Highway Administration. Office of Research, Development, and Technology. Asphalt Pavement : Micro-Sampling and Micro-Extraction Methods : [techbrief]. Report no. FHWA-HRT-15-051;HRDI-10/02-18(200)E. United States. Federal Highway Administration. Office of Research, Development, and Technology, 2018. https://rosap.ntl.bts.gov/view/dot/37552.
United States. Department of Transportation. Federal Highway Administration. Office of Research, Development, and Technology Asphalt Pavement : Micro-Sampling and Micro-Extraction Methods : [techbrief]. United States. Federal Highway Administration. Office of Research, Development, and Technology, 2018, Report no. FHWA-HRT-15-051;HRDI-10/02-18(200)E, ROSA P. https://rosap.ntl.bts.gov/view/dot/37552.
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