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.
Energy-related activities such as natural gas and crude oil production in Texas have created large volumes of overweight (OW) truck operations, resulting in expedited deterioration and premature failure of transportation infrastructures. This project’s primary goal was to develop a database of the site-specific axle load spectra for energy corridor
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Ashtiani, R. S., Morovatdar, A., Licon, C., Tirado, C., Gonzales, J., & Rocha, S. (2019). Characterization and Quantification of Traffic Load Spectra in Texas Overweight Corridors and Energy Sector Zones: Final Report (Report No. FHWA/TX-19/0-6965-1). Texas. Dept. of Transportation. Research and Technology Implementation Office. https://rosap.ntl.bts.gov/view/dot/53771
Ashtiani, Reza S., Ali Morovatdar, Carlos Licon, Cesar Tirado, Jaime Gonzales, and Sergio Rocha. Characterization and Quantification of Traffic Load Spectra in Texas Overweight Corridors and Energy Sector Zones: Final Report. Report no. FHWA/TX-19/0-6965-1. Texas. Dept. of Transportation. Research and Technology Implementation Office, 2019. https://rosap.ntl.bts.gov/view/dot/53771.
Ashtiani, Reza S., et al. Characterization and Quantification of Traffic Load Spectra in Texas Overweight Corridors and Energy Sector Zones: Final Report. Texas. Dept. of Transportation. Research and Technology Implementation Office, 2019, Report no. FHWA/TX-19/0-6965-1, ROSA P. https://rosap.ntl.bts.gov/view/dot/53771.
The restricted crossing U-turn (RCUT) aka J-turn intersection is an innovative alternative intersection design that displaces left turn and through movements from the minor street in order to serve through traffic on the major street. The J-turn is capable of providing a relatively high level of service (LOS) to major road through traffic over a wi
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Schneider, H., & Zeringue, K. M. (2019). Economic Effect of Restricted Crossing U-Turn Intersections in Louisiana [Tech Summary] (Report No. 617). Louisiana Transportation Research Center. https://rosap.ntl.bts.gov/view/dot/66130
Schneider, Helmut and Kirk M. Zeringue. Economic Effect of Restricted Crossing U-Turn Intersections in Louisiana [Tech Summary]. Report no. 617. Louisiana Transportation Research Center, 2019. https://rosap.ntl.bts.gov/view/dot/66130.
Schneider, Helmut, and Kirk M. Zeringue Economic Effect of Restricted Crossing U-Turn Intersections in Louisiana [Tech Summary]. Louisiana Transportation Research Center, 2019, Report no. 617, ROSA P. https://rosap.ntl.bts.gov/view/dot/66130.
Prepared in cooperation with the GDOT Office of Innovative Delivery, this research found the areas of challenges of design liability in the design–build environment, including: (a) issues related to design claims in design–build, (b) heightened standard of care in design–build, and (c) change in design professional liability insurance due to design
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Ashuri, B., Lee, J. H., & Zhou, Y. (2019). Emerging Trends in Design Professional Liability Policies in Innovative Project Delivery (Report No. FHWA-GA-20-1734). Georgia. Department of Transportation. Office of Performance-Based Management & Research. https://rosap.ntl.bts.gov/view/dot/53956
Ashuri, Baabak, Jung Hyun Lee, and Yuxin Zhou. Emerging Trends in Design Professional Liability Policies in Innovative Project Delivery. Report no. FHWA-GA-20-1734. Georgia. Department of Transportation. Office of Performance-Based Management & Research, 2019. https://rosap.ntl.bts.gov/view/dot/53956.
Ashuri, Baabak, et al. Emerging Trends in Design Professional Liability Policies in Innovative Project Delivery. Georgia. Department of Transportation. Office of Performance-Based Management & Research, 2019, Report no. FHWA-GA-20-1734, ROSA P. https://rosap.ntl.bts.gov/view/dot/53956.
Economic Effect of Restricted Crossing U-The RCUT, aka J-turn intersection, is an innovative alternative intersection design that displaces leftturn and through movements from the minor street. There is sufficient evidence that these designs reduce severe injury crashes and the FHWA hence added them to their list of “Proven Safety Countermeasures.”
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Schneider, H., Barnes, S., Pfetzer, E., & Hutchinson, C. (2019). Economic Effect of Restricted Crossing U-Turn Intersections in Louisiana (Report No. FHWA/LA.17/617). Louisiana. Department of Transportation and Development. https://rosap.ntl.bts.gov/view/dot/61319
Schneider, Helmut, Stephen Barnes, Emily Pfetzer, and Cory Hutchinson. Economic Effect of Restricted Crossing U-Turn Intersections in Louisiana. Report no. FHWA/LA.17/617. Louisiana. Department of Transportation and Development, 2019. https://rosap.ntl.bts.gov/view/dot/61319.
Schneider, Helmut, et al. Economic Effect of Restricted Crossing U-Turn Intersections in Louisiana. Louisiana. Department of Transportation and Development, 2019, Report no. FHWA/LA.17/617, ROSA P. https://rosap.ntl.bts.gov/view/dot/61319.
Incorrect turns onto railroad tracks may occur if a highway-rail grade crossing is close to an intersection or a freeway on-ramp. This project aimed to evaluate three low-cost countermeasures to prevent incorrect turns onto railroad tracks: (1) elimination of potentially misleading pavement markings and signs before railroad crossings, (2) implemen
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Lin, P. S., Wang, Z., Vasili, A., & Yang, R. (2019). Pilot Implementation for Preventing Incorrect Turns at Highway-Rail Grade Crossings. Florida. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/54865
Lin, Pei-Sung, Zhenyu Wang, Abhijit Vasili, and Runan Yang. Pilot Implementation for Preventing Incorrect Turns at Highway-Rail Grade Crossings. Florida. Department of Transportation, 2019. https://rosap.ntl.bts.gov/view/dot/54865.
Lin, Pei-Sung, et al. Pilot Implementation for Preventing Incorrect Turns at Highway-Rail Grade Crossings. Florida. Department of Transportation, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/54865.
Regression equations were updated for estimating the 1.25-. 1.50-, 2-, 5-, 10-, 25-, 50-, 100-, 200- and 500-year flood discharges for the Western Coastal Plain Region of Maryland. The regression equations were based on flood discharges for 23 stations and drainage area, in square miles; impervious area, in percent of the watershed; and hydrologic
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Thomas Jr, W. O., & Sanchez-Claros, W. (2019). Regression Equations for Estimating Flood Discharges for the Western Coastal Plain Region of Maryland (Report No. MD-20-SP910B4G-1). Maryland Department of Transportation. State Highway Administration. https://rosap.ntl.bts.gov/view/dot/63067
Thomas Jr, Wilbert O and Windsor Sanchez-Claros. Regression Equations for Estimating Flood Discharges for the Western Coastal Plain Region of Maryland. Report no. MD-20-SP910B4G-1. Maryland Department of Transportation. State Highway Administration, 2019. https://rosap.ntl.bts.gov/view/dot/63067.
Thomas Jr, Wilbert O, and Windsor Sanchez-Claros Regression Equations for Estimating Flood Discharges for the Western Coastal Plain Region of Maryland. Maryland Department of Transportation. State Highway Administration, 2019, Report no. MD-20-SP910B4G-1, ROSA P. https://rosap.ntl.bts.gov/view/dot/63067.
In this study, to evaluate the effect of emulsion reduction during the cold in-place recycling (CIR) process in the field, three laboratory CIR mix designs were performed using the same reclaimed asphalt pavement (RAP) material and emulsion at three different mixing temperatures. The mix design results showed that as the mixing temperature increase
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Wegman, D. E., & Sabouri, M. (2019). Evaluating Effective Asphalt Content in CIR Mixtures (Report No. MN/RC 2019-43). Minnesota. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/53981
Wegman, Daniel E. and Mohammadreza Sabouri. Evaluating Effective Asphalt Content in CIR Mixtures. Report no. MN/RC 2019-43. Minnesota. Department of Transportation, 2019. https://rosap.ntl.bts.gov/view/dot/53981.
Wegman, Daniel E., and Mohammadreza Sabouri Evaluating Effective Asphalt Content in CIR Mixtures. Minnesota. Department of Transportation, 2019, Report no. MN/RC 2019-43, ROSA P. https://rosap.ntl.bts.gov/view/dot/53981.
Florida International University researchers investigated the effects of microbially induced corrosion (MIC) on steel. They experimented with a variety of protective methods to determine their ability to prevent or mitigate MIC.
Lau, K. (2019). Susceptibility of Bridge Steel and Concrete Components to Microbiological Influenced Corrosion (MIC) and Microbiological Influenced Deterioration (MID) in Florida [Summary]. Florida Department of Transportation. https://rosap.ntl.bts.gov/view/dot/65616
Lau, Kingsley. Susceptibility of Bridge Steel and Concrete Components to Microbiological Influenced Corrosion (MIC) and Microbiological Influenced Deterioration (MID) in Florida [Summary]. Florida Department of Transportation, 2019. https://rosap.ntl.bts.gov/view/dot/65616.
Lau, Kingsley Susceptibility of Bridge Steel and Concrete Components to Microbiological Influenced Corrosion (MIC) and Microbiological Influenced Deterioration (MID) in Florida [Summary]. Florida Department of Transportation, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/65616.
Bumble bees contribute to Ohio’s economic success and natural resources by pollinating wildflowers and crop plants. Two formerly widespread species have recently declined in Ohio: the Rusty-Patched Bumble Bee (Bombus affinis), designated as federally endangered in 2017, and the Yellow-Banded Bumble Bee (Bombus terricola). Understanding their curren
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Goodell, K., Mitchell, R., & Lanterman, J. (2019). Distribution and Habitat Use of the Rusty Patched Bumble Bee (Bombus affinis) and the Yellow-Banded Bumble Bee (Bombus terricola) in Ohio (Report No. FHWA/OH-2019-25). Ohio. Dept. of Transportation. Office of Statewide Planning and Research. https://rosap.ntl.bts.gov/view/dot/62337
Goodell, Karen, Randall Mitchell, and Jessie Lanterman. Distribution and Habitat Use of the Rusty Patched Bumble Bee (Bombus affinis) and the Yellow-Banded Bumble Bee (Bombus terricola) in Ohio. Report no. FHWA/OH-2019-25. Ohio. Dept. of Transportation. Office of Statewide Planning and Research, 2019. https://rosap.ntl.bts.gov/view/dot/62337.
Goodell, Karen, et al. Distribution and Habitat Use of the Rusty Patched Bumble Bee (Bombus affinis) and the Yellow-Banded Bumble Bee (Bombus terricola) in Ohio. Ohio. Dept. of Transportation. Office of Statewide Planning and Research, 2019, Report no. FHWA/OH-2019-25, ROSA P. https://rosap.ntl.bts.gov/view/dot/62337.
This Phase 3 project aimed to implement and evaluate selected countermeasures recommended from the Phase 2 project via pilot studies in Florida to support future successful statewide implementation. The pedestrian signs being evaluated for this project included (1) “Stop Here on Red” (R10-6, R10-6a et.), (2) “No Turn on Red,” (R10-11, R10-11a et.)
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Lin, P. S., Kourtellis, A., Wang, Z., Chen, C., Rangaswamy, R., & Jackman, J. (2019). Understanding Interactions between Drivers and Pedestrian Features at Signalized Intersections – Phase 3. University of South Florida. Center for Urban Transportation Research. https://rosap.ntl.bts.gov/view/dot/49952
Lin, Pei-Sung, Achilleas Kourtellis, Zhenyu Wang, Cong Chen, Rakesh Rangaswamy, and Jason Jackman. Understanding Interactions between Drivers and Pedestrian Features at Signalized Intersections – Phase 3. University of South Florida. Center for Urban Transportation Research, 2019. https://rosap.ntl.bts.gov/view/dot/49952.
Lin, Pei-Sung, et al. Understanding Interactions between Drivers and Pedestrian Features at Signalized Intersections – Phase 3. University of South Florida. Center for Urban Transportation Research, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/49952.
A disproportionally high number of serious vehicle crashes (25% of fatal crashes) occur on horizontal curves (FHWA, 2019), even though curves represent only a fraction of the roadway network (5% of highway miles) (FHWA, 2016). The MUTCD (Manual on the Uniform Traffic Control Devices) (FHWA, 2012) requires various horizontal alignment warning signs
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Tsai, J. (., Wu, Y., Six, N., & Pranav, C. (2019). Curve Safety Improvements Using Mobile Devices and Automatic Curve Sign Detection – Phase I (Report No. FHWA-GA-20-1818). Georgia. Department of Transportation. Office of Performance-Based Management & Research. https://rosap.ntl.bts.gov/view/dot/53902
Tsai, James (Yichang), Yiching Wu, Nicolas Six, and Cibi Pranav. Curve Safety Improvements Using Mobile Devices and Automatic Curve Sign Detection – Phase I. Report no. FHWA-GA-20-1818. Georgia. Department of Transportation. Office of Performance-Based Management & Research, 2019. https://rosap.ntl.bts.gov/view/dot/53902.
Tsai, James (Yichang), et al. Curve Safety Improvements Using Mobile Devices and Automatic Curve Sign Detection – Phase I. Georgia. Department of Transportation. Office of Performance-Based Management & Research, 2019, Report no. FHWA-GA-20-1818, ROSA P. https://rosap.ntl.bts.gov/view/dot/53902.
The Texas Technology Task Force is an external advisory board to the Texas Department of Transportation (TxDOT) that conducts technology discovery activities and delivers recommendations for advancing technology to prepare the future Texas transportation system. The Task Force is developing a Technology Utilization Plan that will serve as the fulcr
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Werner, M., Bruce, M., Chin, K., & Walton, C. M. (2019). Recommended Transition Plan for the Texas Technology Task Force (Report No. FHWA/TX-19/0-6902-3). Texas Department of Transportation. Research and Technology Implementation Office. https://rosap.ntl.bts.gov/view/dot/53991
Werner, Mark, Mac Bruce, Kristie Chin, and C. Michael Walton. Recommended Transition Plan for the Texas Technology Task Force. Report no. FHWA/TX-19/0-6902-3. Texas Department of Transportation. Research and Technology Implementation Office, 2019. https://rosap.ntl.bts.gov/view/dot/53991.
Werner, Mark, et al. Recommended Transition Plan for the Texas Technology Task Force. Texas Department of Transportation. Research and Technology Implementation Office, 2019, Report no. FHWA/TX-19/0-6902-3, ROSA P. https://rosap.ntl.bts.gov/view/dot/53991.
The broad objectives of this project were to (1) examine and document the current access management practices in Arkansas; (2) present current access management practices in other selected states, as well as the state-of-the practice, so they can be compared with current access management practices within Arkansas; (3) develop new policies or rules
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Gattis, J. L., & Demosthenes, P. (2019). Access Management Implementation. Arkansas. Department of Transportation. Transportation Research Committee. https://rosap.ntl.bts.gov/view/dot/75140
Gattis, J. L. and Philip Demosthenes. Access Management Implementation. Arkansas. Department of Transportation. Transportation Research Committee, 2019. https://rosap.ntl.bts.gov/view/dot/75140.
Gattis, J. L., and Philip Demosthenes Access Management Implementation. Arkansas. Department of Transportation. Transportation Research Committee, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/75140.
In this project, researchers used National Oceanic Atmospheric Administration (NOAA) Atlas 14 data to update an existing Texas Department of Transportation (TxDOT) hydraulic design tool. NOAA Atlas 14 data describe rainfall frequency, intensity, and duration. The Atlas 14 data were used to update and redevelop a tool (EBDLKUP-2019) that enables des
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Birt, A., Gu, C., Huch, B., & Walubita, L. (2019). Update Rainfall Coefficients with 2018 NOAA Atlas 14 Rainfall Data [Project Summary]. Texas A&M Transportation Institute. https://rosap.ntl.bts.gov/view/dot/66124
Birt, Andrew, Chaoyi Gu, Bob Huch, and Lubinda Walubita. Update Rainfall Coefficients with 2018 NOAA Atlas 14 Rainfall Data [Project Summary]. Texas A&M Transportation Institute, 2019. https://rosap.ntl.bts.gov/view/dot/66124.
Birt, Andrew, et al. Update Rainfall Coefficients with 2018 NOAA Atlas 14 Rainfall Data [Project Summary]. Texas A&M Transportation Institute, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/66124.
Despite decades of research and government investment in commute options for low-income workers, mobility barriers are still a major hindrance for low income workers and employers alike. In this case study, we analyze a traditional taxicab firm’s initiative to enter the employment transportation arena with a ride service. The business model propose
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Allon, A., Ruth, A. M., Davis, T., Carter, B., & McAndrews, C. A. (2019). Union Cab Cooperative of Madison Commute to Careers Program Evaluation 2018–2019. Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC). https://rosap.ntl.bts.gov/view/dot/54009
Allon, Alexander, Annette Marie Ruth, Tammie Davis, Bill Carter, and Carolyn A. McAndrews. Union Cab Cooperative of Madison Commute to Careers Program Evaluation 2018–2019. Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC), 2019. https://rosap.ntl.bts.gov/view/dot/54009.
Allon, Alexander, et al. Union Cab Cooperative of Madison Commute to Careers Program Evaluation 2018–2019. Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC), 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/54009.
For managing the supply-demand imbalance in free-floating bike sharing systems, we propose dynamic hubbing (i.e., dynamically determining geofencing areas) and hybrid rebalancing (combining user-based and operator-based strategies) and solve the problem with a novel multi-objective simulation optimization approach. Given historical usage data and r
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Mahmoodian, V., Zhang, Y., & Charkhgard, H. (2019). Design of a Hybrid Rebalancing Strategy to Improve Level of Service of Free-Floating Bike Sharing Systems. Cornell University. Center for Transportation, Environment, and Community Health. (CTECH). https://rosap.ntl.bts.gov/view/dot/55562
Mahmoodian, Vahid, Yu Zhang, and Hadi Charkhgard. Design of a Hybrid Rebalancing Strategy to Improve Level of Service of Free-Floating Bike Sharing Systems. Cornell University. Center for Transportation, Environment, and Community Health. (CTECH), 2019. https://rosap.ntl.bts.gov/view/dot/55562.
Mahmoodian, Vahid, et al. Design of a Hybrid Rebalancing Strategy to Improve Level of Service of Free-Floating Bike Sharing Systems. Cornell University. Center for Transportation, Environment, and Community Health. (CTECH), 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/55562.
The US rail network consists of more than 232,000 miles of track (as of 2016). More than 160,000 miles are classified as Class I railway (belonging to a railway with operating revenue greater than $458M). (Association of American Railroads, 2017). In 2016, Class I railroads replaced or installed nearly 7,000 miles of rail. (Association of American
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Palese, J., Zarembski, A. M., & Attoh-Okine, N. (2019). A Stochastic Rail Wear Forecast Using Mixture Density Networks and the Laplace Distribution. University of Nevada. University Transportation Center on Improving Rail Transportation Infrastructure Sustainability and Durability. https://rosap.ntl.bts.gov/view/dot/58616
Palese, Joseph, Allan M. Zarembski, and Nii Attoh-Okine. A Stochastic Rail Wear Forecast Using Mixture Density Networks and the Laplace Distribution. University of Nevada. University Transportation Center on Improving Rail Transportation Infrastructure Sustainability and Durability, 2019. https://rosap.ntl.bts.gov/view/dot/58616.
Palese, Joseph, et al. A Stochastic Rail Wear Forecast Using Mixture Density Networks and the Laplace Distribution. University of Nevada. University Transportation Center on Improving Rail Transportation Infrastructure Sustainability and Durability, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/58616.
Pile rebound, which is a complex phenomenon that occurs when large diameter displacement piles are driven into very fine sands with silts and clays, causes serious construction delays and cost overruns. It has been a problem many contractors have faced for well over a decade. Piles driven into thick layers within both the Hawthorn and Alum Bluff Gr
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Cosentino, P. J., & Wisnom, B. (2019). Improving Design Phase Evaluations for High Pile Rebound Soils with an Emphasis on SPT Testing: Final Report. Florida. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/54563
Cosentino, Paul J. and Brian Wisnom. Improving Design Phase Evaluations for High Pile Rebound Soils with an Emphasis on SPT Testing: Final Report. Florida. Department of Transportation, 2019. https://rosap.ntl.bts.gov/view/dot/54563.
Cosentino, Paul J., and Brian Wisnom Improving Design Phase Evaluations for High Pile Rebound Soils with an Emphasis on SPT Testing: Final Report. Florida. Department of Transportation, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/54563.
Our current transportation system faces a variety of issues in terms of safety, mobility, and environmental sustainability. The emergence of innovative intelligent transportation system (ITS) technologies such as connected and automated vehicles (CAVs) and transportation electrification unfold unprecedented opportunities to address aforementioned i
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DatasetSupporting Files
Wu, G., Zhao, Z., Wang, Z., & Barth, M. J. (2019). PTV VISSIM Simulation Data for Efficient Eco-Ramp Control Project Funded by NCST 18–19 Dataset. University of California, Riverside. https://doi.org/10.6086/D10M3D
Wu, Guoyuan, Zhouqiao Zhao, Ziran Wang, and Matthew J. Barth. PTV VISSIM Simulation Data for Efficient Eco-Ramp Control Project Funded by NCST 18–19 Dataset. University of California, Riverside, 2019. https://doi.org/10.6086/D10M3D.
Wu, Guoyuan, et al. PTV VISSIM Simulation Data for Efficient Eco-Ramp Control Project Funded by NCST 18–19 Dataset. University of California, Riverside, 2019, ROSA P. https://doi.org/10.6086/D10M3D.
The eco-approach and departure (EAD) application for signalized intersections has been proved to be environmentally efficient in a Connected and Automated Vehicles (CAVs) system. In the real-world traffic, the traffic-related information received from sensing or communication devices is highly uncertain due to the limited sensing range and varying
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DatasetSupporting Files
Hao, P., Wei, Z., Bai, Z., & Barth, M. J. (2019). Speed Trajectory Data from Adaptive Eco-Driving Applications [supporting datasets] (Report No. NCST-UCR-RR-20-03). National Center for Sustainable Transportation (NCST) (UTC). https://doi.org/10.6086/D11H3P
Hao, Peng, Zhensong Wei, Zhengwei Bai, and Matthew J. Barth. Speed Trajectory Data from Adaptive Eco-Driving Applications [supporting datasets]. Report no. NCST-UCR-RR-20-03. National Center for Sustainable Transportation (NCST) (UTC), 2019. https://doi.org/10.6086/D11H3P.
Hao, Peng, et al. Speed Trajectory Data from Adaptive Eco-Driving Applications [supporting datasets]. National Center for Sustainable Transportation (NCST) (UTC), 2019, Report no. NCST-UCR-RR-20-03, ROSA P. https://doi.org/10.6086/D11H3P.
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