The US Transportation Collection consists of documents from across all transportation modes with specific focus on research reports from US DOT, state DOTs, and other transportation organizations.
Bookmark this collection: https://rosap.ntl.bts.gov/collection_ust or https://doi.org/10.21949/1530857.
United States. Department of Transportation. Federal Highway Administration. Office of Operations
2019-12-01
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Unforeseen needs often arise during the construction phase of a project. These needs may result in expensive and time-intensive change orders. By developing a safety contingency line item as part of the project estimate phase, TxDOT can address and mitigate numerous challenges during active operations. As a result, the State has seen a significant
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United States. Department of Transportation. Federal Highway Administration. Office of Operations (2019). Using Safety Contingency Funding to Address Unforeseen Safety Needs During Construction in Texas — Factsheet (Report No. FHWA-HOP-20-009). United States. Department of Transportation. Federal Highway Administration. Office of Operations. https://rosap.ntl.bts.gov/view/dot/44397
United States. Department of Transportation. Federal Highway Administration. Office of Operations. Using Safety Contingency Funding to Address Unforeseen Safety Needs During Construction in Texas — Factsheet. Report no. FHWA-HOP-20-009. United States. Department of Transportation. Federal Highway Administration. Office of Operations, 2019. https://rosap.ntl.bts.gov/view/dot/44397.
United States. Department of Transportation. Federal Highway Administration. Office of Operations Using Safety Contingency Funding to Address Unforeseen Safety Needs During Construction in Texas — Factsheet. United States. Department of Transportation. Federal Highway Administration. Office of Operations, 2019, Report no. FHWA-HOP-20-009, ROSA P. https://rosap.ntl.bts.gov/view/dot/44397.
The purpose of this research is to examine on-demand microtransit as a means of connecting the first-last mile segments of travel by public transit in low-density areas. We also examine the extent to which reduced travel times of first-last miles by on-demand microtransit influence low-wage job accessibility. As a case study, we compare the job acc
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Kang, S., & Hamidi, S. (2019). On-Demand Microtransit for Better Transit Station and Job Accessibility. Center for Transportation, Equity, Decisions and Dollars (CTEDD). https://rosap.ntl.bts.gov/view/dot/55542
Kang, Sanggyun and Shima Hamidi. On-Demand Microtransit for Better Transit Station and Job Accessibility. Center for Transportation, Equity, Decisions and Dollars (CTEDD), 2019. https://rosap.ntl.bts.gov/view/dot/55542.
Kang, Sanggyun, and Shima Hamidi On-Demand Microtransit for Better Transit Station and Job Accessibility. Center for Transportation, Equity, Decisions and Dollars (CTEDD), 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/55542.
This project refined the Natural Resources Research Institute’s (NRRI's) patented taconite-based repair compound, explored equipment options, and field tested/demonstrated a low-cost mechanized system that can efficiently mix and place the repair compound in larger quantities while minimizing or eliminating direct contact and hand mixing by mainten
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Zanko, L. M., Post, S. P., Oreskovich, J. A., Geerts, S. M., & Drazan, J. (2019). Optimized Taconite-Based Pavement Repair Compound and Deployment System (Report No. MN 2019-46). Minnesota. Department of Transportation. Office of Research & Innovation. https://rosap.ntl.bts.gov/view/dot/62212
Zanko, Lawrence M., Sara P Post, Julie A. Oreskovich, Stephen Monson Geerts, and Jaqueline Drazan. Optimized Taconite-Based Pavement Repair Compound and Deployment System. Report no. MN 2019-46. Minnesota. Department of Transportation. Office of Research & Innovation, 2019. https://rosap.ntl.bts.gov/view/dot/62212.
Zanko, Lawrence M., et al. Optimized Taconite-Based Pavement Repair Compound and Deployment System. Minnesota. Department of Transportation. Office of Research & Innovation, 2019, Report no. MN 2019-46, ROSA P. https://rosap.ntl.bts.gov/view/dot/62212.
The five skewed reinforced T-beam bridges listed below were tested during the summer of 2018 by the University of Maine (UMaine) in partnership with the Maine Department of Transportation (MaineDOT): (1) Bridge No. 5489 in Levant, carrying Route 222 over Black Stream; (2) Bridge No. 5109 in Hampden, carrying Route 9 over Souadabscook Stream; (3) Br
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Schanck, A., & Davids, B. (2019). Live Load Testing and Load Rating of Five Skewed Reinforced Concrete T-Beam Bridges (Report No. ME 19-01, 19-09-1613). Maine. Department of Transportation. Transportation Research Division. https://rosap.ntl.bts.gov/view/dot/62697
Schanck, Andrew and Bill Davids. Live Load Testing and Load Rating of Five Skewed Reinforced Concrete T-Beam Bridges. Report no. ME 19-01, 19-09-1613. Maine. Department of Transportation. Transportation Research Division, 2019. https://rosap.ntl.bts.gov/view/dot/62697.
Schanck, Andrew, and Bill Davids Live Load Testing and Load Rating of Five Skewed Reinforced Concrete T-Beam Bridges. Maine. Department of Transportation. Transportation Research Division, 2019, Report no. ME 19-01, 19-09-1613, ROSA P. https://rosap.ntl.bts.gov/view/dot/62697.
The strut-and-tie method (STM) is used for the design of D-regions (disturbed regions) of reinforced concrete structures. Many typical bridge substructure components consist of D-regions and warrant the use of the STM for design. Implementation of the STM is more complex than typical design methods, and engineers are often unfamiliar with the desig
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Vicksman, A. S., Williams, C. S., & Howarth, M. A. (2019). Implementing the Strut-and-Tie Method for the Design of Bridge Components (Report No. FHWA/IN/JTRP-2020/01). Purdue University. Joint Transportation Research Program. https://doi.org/10.5703/1288284317112
Vicksman, Andi S, Christopher S Williams, and Merrick A Howarth. Implementing the Strut-and-Tie Method for the Design of Bridge Components. Report no. FHWA/IN/JTRP-2020/01. Purdue University. Joint Transportation Research Program, 2019. https://doi.org/10.5703/1288284317112.
Vicksman, Andi S, et al. Implementing the Strut-and-Tie Method for the Design of Bridge Components. Purdue University. Joint Transportation Research Program, 2019, Report no. FHWA/IN/JTRP-2020/01, ROSA P. https://doi.org/10.5703/1288284317112.
This research is a follow-up of the Analysis of Local Markets study conducted by the Alan M. Voorhees Transportation Center during 2015-17. Whereas the primary objectives of the previous study were to examine both traffic (i.e., congestion) and air quality (i.e., greenhouse gas) impacts of local buses, the primary objective of the current study is
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Deka, D. (2019). Analysis of Local Bus Markets (Phase II) (Report No. FHWA-NJ-2018-010). United States. Department of Transportation. Federal Highway Administration. https://rosap.ntl.bts.gov/view/dot/43653
Deka, Devajyoti. Analysis of Local Bus Markets (Phase II). Report no. FHWA-NJ-2018-010. United States. Department of Transportation. Federal Highway Administration, 2019. https://rosap.ntl.bts.gov/view/dot/43653.
Deka, Devajyoti Analysis of Local Bus Markets (Phase II). United States. Department of Transportation. Federal Highway Administration, 2019, Report no. FHWA-NJ-2018-010, ROSA P. https://rosap.ntl.bts.gov/view/dot/43653.
University of South Florida researchers investigated acceptable inventory methods based on FDOT data accuracy requirements and available technology to determine a methodology of inventory of SUN Trail assets and to identify an efficient, scalable, and acceptable data inventory management design for hardware and/or software investment.
Hendricks, S., & Catala, M. (2019). Multimodal Data Inventory Evaluation to Improve FDOT’s Roadway Classification Inventory [Summary]. Florida. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/61961
Hendricks, Sara and Martin Catala. Multimodal Data Inventory Evaluation to Improve FDOT’s Roadway Classification Inventory [Summary]. Florida. Department of Transportation, 2019. https://rosap.ntl.bts.gov/view/dot/61961.
Hendricks, Sara, and Martin Catala Multimodal Data Inventory Evaluation to Improve FDOT’s Roadway Classification Inventory [Summary]. Florida. Department of Transportation, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/61961.
Five portland cement concrete (PCC) and five asphalt concrete (AC) pavement locations at each of seven field testing sites in the central and eastern United States represented a range of aggregate types, pavement surface ages, and climates. Albedo, thermal properties, and pavement surface characteristics data were collected, and cores were obtained
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Alleman, J., & Heitzman, M. (2019). Quantifying Pavement Albedo (Report No. NCAT Report 19-09). Iowa State University. National Concrete Pavement Technology Center. https://rosap.ntl.bts.gov/view/dot/62003
Alleman, James and Michael Heitzman. Quantifying Pavement Albedo. Report no. NCAT Report 19-09. Iowa State University. National Concrete Pavement Technology Center, 2019. https://rosap.ntl.bts.gov/view/dot/62003.
Alleman, James, and Michael Heitzman Quantifying Pavement Albedo. Iowa State University. National Concrete Pavement Technology Center, 2019, Report no. NCAT Report 19-09, ROSA P. https://rosap.ntl.bts.gov/view/dot/62003.
The multi-volume Historic Survey of Roads in Idaho’s State Highway System provides the development of Idaho’s State Highway System and a history of the Idaho Transportation Department (ITD) and its predecessor agencies to serve as a basis for evaluating the National Register of Historic places (National Register) eligibility of roads within the Sta
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Hronek, A., Renfield, S., & Moffett, C. (2019). Historic Survey of Roads in Idaho’s State Highway System Volume 1: Historic Context (Report No. FHWA-ID-19-267A). Idaho. Transportation Department. https://rosap.ntl.bts.gov/view/dot/55849
Hronek, Angela, Sebastian Renfield, and Chad Moffett. Historic Survey of Roads in Idaho’s State Highway System Volume 1: Historic Context. Report no. FHWA-ID-19-267A. Idaho. Transportation Department, 2019. https://rosap.ntl.bts.gov/view/dot/55849.
Hronek, Angela, et al. Historic Survey of Roads in Idaho’s State Highway System Volume 1: Historic Context. Idaho. Transportation Department, 2019, Report no. FHWA-ID-19-267A, ROSA P. https://rosap.ntl.bts.gov/view/dot/55849.
Florida Institute of Technology researchers examined the confinement effect of a narrow baseplate on adhesive anchor breakout resistance and developed a new confinement modification factor.
Suksawang, N. (2019). Confinement Effect of Metal Railing Narrow Baseplates on Adhesive Anchor Breakout Resistance [Summary]. Florida Department of Transportation. https://rosap.ntl.bts.gov/view/dot/65594
Suksawang, Nakin. Confinement Effect of Metal Railing Narrow Baseplates on Adhesive Anchor Breakout Resistance [Summary]. Florida Department of Transportation, 2019. https://rosap.ntl.bts.gov/view/dot/65594.
Suksawang, Nakin Confinement Effect of Metal Railing Narrow Baseplates on Adhesive Anchor Breakout Resistance [Summary]. Florida Department of Transportation, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/65594.
Wildfires have seen a sharp increase in severity and frequency due to changes in climate, especially in the Southwestern U.S., where prevailing conditions of arid climate such as heat waves and droughts can have a dramatic effect on the risk of fire. This study investigated the impacts of post-wildfire floods on transportation infrastructure. Drain
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Valentin, V., & Stormont, J. (2019). Evaluating Post-Wildfire Flood Impacts on Transportation Infrastructure for Mitigation Planning (Report No. SPTC15.1-50-F). Southern Plains Transportation Center. https://rosap.ntl.bts.gov/view/dot/55580
Valentin, Vanessa and John Stormont. Evaluating Post-Wildfire Flood Impacts on Transportation Infrastructure for Mitigation Planning. Report no. SPTC15.1-50-F. Southern Plains Transportation Center, 2019. https://rosap.ntl.bts.gov/view/dot/55580.
Valentin, Vanessa, and John Stormont Evaluating Post-Wildfire Flood Impacts on Transportation Infrastructure for Mitigation Planning. Southern Plains Transportation Center, 2019, Report no. SPTC15.1-50-F, ROSA P. https://rosap.ntl.bts.gov/view/dot/55580.
The California Department of Transportation (Caltrans) ranks transportation safety as a top priority to save lives by improving safety throughout the State Highway System (SHS). Caltrans is establishing a unique role as a leader in state-specific highway safety improvements and capacity building at the national level. To effectively manage transpor
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Vayalamkuzhi, P., Medury, A., Grembek, O., Shankar, V., Oum, S., Salem, C., Yang, L., & Lu, J. (2019). Implementation of SPF Methods To Identify High Collision Concentration Locations (Report No. CA19-3027). California. Dept. of Transportation. Division of Research and Innovation. https://rosap.ntl.bts.gov/view/dot/54526
Vayalamkuzhi, Praveen, Aditya Medury, Offer Grembek, Venky Shankar, SangHyouk Oum, Camille Salem, Lin Yang, and Jiajian Lu. Implementation of SPF Methods To Identify High Collision Concentration Locations. Report no. CA19-3027. California. Dept. of Transportation. Division of Research and Innovation, 2019. https://rosap.ntl.bts.gov/view/dot/54526.
Vayalamkuzhi, Praveen, et al. Implementation of SPF Methods To Identify High Collision Concentration Locations. California. Dept. of Transportation. Division of Research and Innovation, 2019, Report no. CA19-3027, ROSA P. https://rosap.ntl.bts.gov/view/dot/54526.
The research presented here had four primary objectives. First, to document existing state of practice and policies in the State of Alaska regarding OHV use on roads and in public rights of way. Second, to characterize and identify the spatial distribution of OHV crashes and injuries using DMV crash records and the AKTR. Third, conduct a media disc
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Belz, N. P. (2019). Safety Evaluation of Statewide Off-Highway Vehicle Use in Alaska: Crash Review, On- and Off-road System Use, and Conflict Evaluation (Report No. 4000180UAF). Pacific Northwest Transportation Consortium. https://rosap.ntl.bts.gov/view/dot/51768
Belz, Nathan P.. Safety Evaluation of Statewide Off-Highway Vehicle Use in Alaska: Crash Review, On- and Off-road System Use, and Conflict Evaluation. Report no. 4000180UAF. Pacific Northwest Transportation Consortium, 2019. https://rosap.ntl.bts.gov/view/dot/51768.
Belz, Nathan P. Safety Evaluation of Statewide Off-Highway Vehicle Use in Alaska: Crash Review, On- and Off-road System Use, and Conflict Evaluation. Pacific Northwest Transportation Consortium, 2019, Report no. 4000180UAF, ROSA P. https://rosap.ntl.bts.gov/view/dot/51768.
Bridge inspection is a critical task needed to monitor bridge quality and serviceability. In the U.S., 40 percent of bridges are more than 50 years old, while most bridges are typically designed for a lifespan of 50 years. Of the 614,387 bridges across the U.S., 9.1 percent are considered structurally deficient. These statistics reported in the lit
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Turkan, Y. (2019). Bridge Structural Inspections Using Bridge Information Models (BrIM) and Unmanned Aerial Vehicles (UAVs). Pacific Northwest Transportation Consortium (PacTrans) (UTC). https://rosap.ntl.bts.gov/view/dot/55777
Turkan, Yelda. Bridge Structural Inspections Using Bridge Information Models (BrIM) and Unmanned Aerial Vehicles (UAVs). Pacific Northwest Transportation Consortium (PacTrans) (UTC), 2019. https://rosap.ntl.bts.gov/view/dot/55777.
Turkan, Yelda Bridge Structural Inspections Using Bridge Information Models (BrIM) and Unmanned Aerial Vehicles (UAVs). Pacific Northwest Transportation Consortium (PacTrans) (UTC), 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/55777.
The objectives of this research project are to (1) quantify the relationship between pavement surface friction characteristics, traffic accident rates, and any other factor(s) deemed important and (2) determine and recommend critical threshold levels below which crash rates would significantly increase. Following a literature review and gap analysi
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Lee, H. S., Hall, J. W., & Stanley, M. (2019). Develop Statistical Models Quantifying the Relationship Between Pavement Surface Friction Characteristics and Traffic Accident Rates. Florida. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/54709
Lee, Hyung Suk, Jim W. Hall, and Mark Stanley. Develop Statistical Models Quantifying the Relationship Between Pavement Surface Friction Characteristics and Traffic Accident Rates. Florida. Department of Transportation, 2019. https://rosap.ntl.bts.gov/view/dot/54709.
Lee, Hyung Suk, et al. Develop Statistical Models Quantifying the Relationship Between Pavement Surface Friction Characteristics and Traffic Accident Rates. Florida. Department of Transportation, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/54709.
Project Description: The study goal was to identify risky driving behavior using data mining methods within a large dataset. The data used in this study was obtained from the SPMD study conducted in Ann Arbor, Michigan. Data Scope: One week of SPMD data was processed to create a data table (each row representing a monitoring period) in csv format.
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DatasetSupporting Files
Jahangiri, A., Machiani, S. G., Tsou, M. H., Nara, A., & Harwood, L. (2019). Big Data Visualization and Spatiotemporal Modeling of Risky Driving [supporting dataset] (Report No. 03-087). Safety through Disruption (Safe-D) University Transportation Center (UTC). https://doi.org/10.15787/VTT1/KOT55T
Jahangiri, Arash, Sahar Ghanipoor Machiani, Ming-Hsiang Tsou, Atsushi Nara, and Leslie Harwood. Big Data Visualization and Spatiotemporal Modeling of Risky Driving [supporting dataset]. Report no. 03-087. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2019. https://doi.org/10.15787/VTT1/KOT55T.
Jahangiri, Arash, et al. Big Data Visualization and Spatiotemporal Modeling of Risky Driving [supporting dataset]. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2019, Report no. 03-087, ROSA P. https://doi.org/10.15787/VTT1/KOT55T.
The 2010 Highway Safety Manual (HSM) developed by AASHTO provides predictive equations for quantifying the safety effects of planning and designing roadway alternatives. These equations have been developed based on data sets that are nearly 20 years old from a small number of states, so they must be calibrated to conditions in a specific state in o
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Sullivan, J. L. (2019). Calibration of the Highway Safety Manual Predictive Models for Rural Two-Lane Roads for Vermont: Final Report (Report No. 2020-01). Vermont Agency of Transportation. https://rosap.ntl.bts.gov/view/dot/55487
Sullivan, James L.. Calibration of the Highway Safety Manual Predictive Models for Rural Two-Lane Roads for Vermont: Final Report. Report no. 2020-01. Vermont Agency of Transportation, 2019. https://rosap.ntl.bts.gov/view/dot/55487.
Sullivan, James L. Calibration of the Highway Safety Manual Predictive Models for Rural Two-Lane Roads for Vermont: Final Report. Vermont Agency of Transportation, 2019, Report no. 2020-01, ROSA P. https://rosap.ntl.bts.gov/view/dot/55487.
This study examines data from the California EMS Information System (CEMSIS) to identify factors that influence prehospital time for EMS events related to motor vehicle collisions. While only 19 percent of the United States population resides in rural areas, over half of all traffic fatalities involve rural motor vehicle collisions. Relative inacce
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Doggett, S., Ragland, D. R., & Felschundneff, G. (2019). Emergency Medical Services (EMS) and the California Ems Information System (CEMSIS) Working Paper (Report No. CSCRS-R12). University of California, Berkeley. Safe Transportation Research and Education Center. https://rosap.ntl.bts.gov/view/dot/56817
Doggett, Sarah, David R. Ragland, and Grace Felschundneff. Emergency Medical Services (EMS) and the California Ems Information System (CEMSIS) Working Paper. Report no. CSCRS-R12. University of California, Berkeley. Safe Transportation Research and Education Center, 2019. https://rosap.ntl.bts.gov/view/dot/56817.
Doggett, Sarah, et al. Emergency Medical Services (EMS) and the California Ems Information System (CEMSIS) Working Paper. University of California, Berkeley. Safe Transportation Research and Education Center, 2019, Report no. CSCRS-R12, ROSA P. https://rosap.ntl.bts.gov/view/dot/56817.
The third effort (Travel Patterns using GPS Waypoint Data) of this project explored the use of INRIX trip trace data to determine the patterns of origin-destination distributions and developed forty decision rules to define the origin-destination patterns. The research team used three separate databases to perform the analysis: Maryland INRIX waypo
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DatasetSupporting Files
Das, S., & Wang, R. (2019). Exploring Crowdsourced Monitoring Data for Safety - Travel Patterns using GPS Waypoint Data [supporting datasets]. Safety through Disruption (Safe-D) University Transportation Center (UTC). https://doi.org/10.15787/VTT1/81SKJW
Das, Subasish and Ruihong Wang. Exploring Crowdsourced Monitoring Data for Safety - Travel Patterns using GPS Waypoint Data [supporting datasets]. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2019. https://doi.org/10.15787/VTT1/81SKJW.
Das, Subasish, and Ruihong Wang Exploring Crowdsourced Monitoring Data for Safety - Travel Patterns using GPS Waypoint Data [supporting datasets]. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2019, ROSA P. https://doi.org/10.15787/VTT1/81SKJW.
These data represent monthly average weekday and weekend bicycle counts and count index values at specific points locations across eight cities in Texas: Allen, Austin, Dallas, Fort Worth, Houston, North Richland Hills, Plano, and San Antonio. The bicycle counts were produced from permanent counters with complete sets of 15-minute counts per day. T
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DatasetSupporting Files
Turner, S., & Martin, M. (2019). Exploring Crowdsourced Monitoring Data for Safety - StreetLight Data Bicycle Count Estimates vs Texas Permanent Bicycle Counts [supporting datasets]. Safety through Disruption (Safe-D) University Transportation Center (UTC). https://doi.org/10.15787/VTT1/OBV82F
Turner, Shawn and Michael Martin. Exploring Crowdsourced Monitoring Data for Safety - StreetLight Data Bicycle Count Estimates vs Texas Permanent Bicycle Counts [supporting datasets]. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2019. https://doi.org/10.15787/VTT1/OBV82F.
Turner, Shawn, and Michael Martin Exploring Crowdsourced Monitoring Data for Safety - StreetLight Data Bicycle Count Estimates vs Texas Permanent Bicycle Counts [supporting datasets]. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2019, ROSA P. https://doi.org/10.15787/VTT1/OBV82F.
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