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.
TDOT is currently using the Marshall mix design method for designing asphalt mixtures. However, the Marshall method does not allow for designing larger stone mixes and it hinders the technical information exchange and communication among DOTs. To compare the Marshall and Superpave mix design methods and recommend an improved mix design method for T
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Huang, B., Polaczyk, P. A., & Hu, W. (2020). Asphalt Mixture Design and Performance Properties by Using a Gyratory Compactor (Report No. RES2016-02). Tennessee. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/55052
Huang, Baoshan, Pawel Andrzej Polaczyk, and Wei Hu. Asphalt Mixture Design and Performance Properties by Using a Gyratory Compactor. Report no. RES2016-02. Tennessee. Department of Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/55052.
Huang, Baoshan, et al. Asphalt Mixture Design and Performance Properties by Using a Gyratory Compactor. Tennessee. Department of Transportation, 2020, Report no. RES2016-02, ROSA P. https://rosap.ntl.bts.gov/view/dot/55052.
This report presents a comprehensive evaluation on the effect of drilling fluid infiltration in claystone bedrock on the axial capacity of drilled caissons. The methodology of this research combines experimental testing and numerical simulations. The results obtained in the experimental phase are used to inform the numerical study. In the experimen
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Sisodiya, M., Singh, S., Zhang, Y., & Pak, R. Y. S. (2020). Caisson Drilling Fluid Interaction With Fine Grained Bedrock (Report No. CDOT-2020-04). Colorado Department of Transportation. Applied Research & Innovations Branch. https://rosap.ntl.bts.gov/view/dot/92426
Sisodiya, Mitul, Shubjot Singh, Yida Zhang, and Ronald Y. S. Pak. Caisson Drilling Fluid Interaction With Fine Grained Bedrock. Report no. CDOT-2020-04. Colorado Department of Transportation. Applied Research & Innovations Branch, 2020. https://rosap.ntl.bts.gov/view/dot/92426.
Sisodiya, Mitul, et al. Caisson Drilling Fluid Interaction With Fine Grained Bedrock. Colorado Department of Transportation. Applied Research & Innovations Branch, 2020, Report no. CDOT-2020-04, ROSA P. https://rosap.ntl.bts.gov/view/dot/92426.
The goal of this research is to evaluate the feasibility and the performance of using UAV-mounted infrared thermography (IRT) and ground penetration radar (GPR) to detect sub-surface voids caused by consolidation issues in concrete pavement. The motivation of the study is to identify the consolidation defects as early as the initial set of concrete
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Shen, Z., Erdogmus, E., Morcous, G., Cheng, C., Shang, Z., McCabe, T., & Kodsy, A. (2020). Early Detection of Near-Surface Void Defects in Concrete Pavement Using Drone-Based Thermography and GPR Methods (Report No. SPR-P1(19) M082). University of Nebraska--Lincoln. https://rosap.ntl.bts.gov/view/dot/55528
Shen, Zhigang, Ece Erdogmus, George Morcous, Chongsheng Cheng, Zhexiong Shang, Theresa McCabe, and Anthony Kodsy. Early Detection of Near-Surface Void Defects in Concrete Pavement Using Drone-Based Thermography and GPR Methods. Report no. SPR-P1(19) M082. University of Nebraska--Lincoln, 2020. https://rosap.ntl.bts.gov/view/dot/55528.
Shen, Zhigang, et al. Early Detection of Near-Surface Void Defects in Concrete Pavement Using Drone-Based Thermography and GPR Methods. University of Nebraska--Lincoln, 2020, Report no. SPR-P1(19) M082, ROSA P. https://rosap.ntl.bts.gov/view/dot/55528.
Over the next several decades, highly automated driving systems (HADS) will become increasingly common on our roads, greatly reducing traffic accidents and road congestion. However, for the foreseeable future, the human driver will be required to take control when automation fails. Therefore, it is critical to understand how take-overs from HADS af
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Miles, J., & Strybel, T. (2020). Evaluation of Autonomous Vehicles and Smart Technologies for Their Impact on Traffic Safety and Traffic Congestion (Report No. PSR-17-11). California. Dept. of Transportation. Division of Research and Innovation. https://rosap.ntl.bts.gov/view/dot/54429
Miles, James and Thomas Strybel. Evaluation of Autonomous Vehicles and Smart Technologies for Their Impact on Traffic Safety and Traffic Congestion. Report no. PSR-17-11. California. Dept. of Transportation. Division of Research and Innovation, 2020. https://rosap.ntl.bts.gov/view/dot/54429.
Miles, James, and Thomas Strybel Evaluation of Autonomous Vehicles and Smart Technologies for Their Impact on Traffic Safety and Traffic Congestion. California. Dept. of Transportation. Division of Research and Innovation, 2020, Report no. PSR-17-11, ROSA P. https://rosap.ntl.bts.gov/view/dot/54429.
Our research generated demographic, survey, and behavior data related to driver performance on a simulated highway environment. Data was collected from 36 individuals, that were predominantly undergraduate and graduate students at California State University Long Beach. All identifying information has been removed from the data. Specifically, data
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DatasetSupporting Files
Miles, J., & Strybel, T. (2020). Replication Data for: Evaluation of Autonomous Vehicles and Smart Technologies for Their Impact on Traffic Safety and Traffic Congestion [supporting datasets] (Report No. PSR-17-11). California. Dept. of Transportation. Division of Research and Innovation. https://doi.org/10.7910/DVN/BWCCET
Miles, James and Thomas Strybel. Replication Data for: Evaluation of Autonomous Vehicles and Smart Technologies for Their Impact on Traffic Safety and Traffic Congestion [supporting datasets]. Report no. PSR-17-11. California. Dept. of Transportation. Division of Research and Innovation, 2020. https://doi.org/10.7910/DVN/BWCCET.
Miles, James, and Thomas Strybel Replication Data for: Evaluation of Autonomous Vehicles and Smart Technologies for Their Impact on Traffic Safety and Traffic Congestion [supporting datasets]. California. Dept. of Transportation. Division of Research and Innovation, 2020, Report no. PSR-17-11, ROSA P. https://doi.org/10.7910/DVN/BWCCET.
In this project, we developed a deep learning approach for traffic flow forecasting and bus arrival time estimation in Los Angeles. First, we developed a novel Graph Convolutional Recurrent Neural Network (GCRNN) to model and forecast traffic flows at different spatial and temporal resolutions. Our GCRNN model considers not only the location of tra
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Shahabi, C., Tran, L., Mun, M., & Chiang, Y. Y. (2020). Deep-Learning Traffic Flow Prediction for Forecasting Performance Measurement of Public Transportation Systems (Report No. PSR-18-10). California. Dept. of Transportation. Division of Research and Innovation. https://rosap.ntl.bts.gov/view/dot/54424
Shahabi, Cyrus, Luan Tran, Min Mun, and Yao Yi Chiang. Deep-Learning Traffic Flow Prediction for Forecasting Performance Measurement of Public Transportation Systems. Report no. PSR-18-10. California. Dept. of Transportation. Division of Research and Innovation, 2020. https://rosap.ntl.bts.gov/view/dot/54424.
Shahabi, Cyrus, et al. Deep-Learning Traffic Flow Prediction for Forecasting Performance Measurement of Public Transportation Systems. California. Dept. of Transportation. Division of Research and Innovation, 2020, Report no. PSR-18-10, ROSA P. https://rosap.ntl.bts.gov/view/dot/54424.
In 2018, the Minnesota Department of Transportation (MnDOT) conducted a one year pilot project through a contract with a vendor (Street Smart) that installed a monitoring device on 20 arrow boards that provided arrow board status information (e.g. right arrow on, left arrow on) to the vendor’s server. The arrow board status information from the ser
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Roelofs, T., Schroeder, J. L., & Helgeson, C. (2020). Real-time Integration of Arrow Board Messages Into Traveler Information Systems Evaluation (Report No. ENT-2020-1). Enterprise Pooled Fund Program. https://rosap.ntl.bts.gov/view/dot/65976
Roelofs, Tina, Jeremy L. Schroeder, and Carla Helgeson. Real-time Integration of Arrow Board Messages Into Traveler Information Systems Evaluation. Report no. ENT-2020-1. Enterprise Pooled Fund Program, 2020. https://rosap.ntl.bts.gov/view/dot/65976.
Roelofs, Tina, et al. Real-time Integration of Arrow Board Messages Into Traveler Information Systems Evaluation. Enterprise Pooled Fund Program, 2020, Report no. ENT-2020-1, ROSA P. https://rosap.ntl.bts.gov/view/dot/65976.
The dataset contains the vehicle count by movement information for 35 intersections in Bellevue, WA. It can be used for network-wide traffic simulation. The data were collected in 2017, during an off-peak (1 pm) period in a normal weekday. The Turn_ratio.xlsx file contains intersection identification numbers and vehicle count for each movement. The
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This project developed and validated a multi criteria decision making approach for enhancing the longevity of pavement infrastructure built on problematic expansive soils. Expansive soils swell and shrink with changes in moisture content, causing pavements to crack or heave. As of current state of practice, more than 25 state transportation agencie
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Puppala, A. J., Bheemasetti, T. V., Das, J. T., & Congress, S. S. C. (2020). Multi-Criteria Decision-Making Approach for Building Resilient and Sustainable Transportation Infrastructure. Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC). https://rosap.ntl.bts.gov/view/dot/54689
Puppala, Anand J., Tejo V Bheemasetti, Jasaswee T Das, and Surya S C Congress. Multi-Criteria Decision-Making Approach for Building Resilient and Sustainable Transportation Infrastructure. Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC), 2020. https://rosap.ntl.bts.gov/view/dot/54689.
Puppala, Anand J., et al. Multi-Criteria Decision-Making Approach for Building Resilient and Sustainable Transportation Infrastructure. Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC), 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/54689.
In early 2019, USDOT sponsored a workshop titled: Building a National Transportation Data Preservation Network. The event brought together thirteen librarians, researchers, repository managers, and others involved in data management efforts to discuss feasibility, rewards, and challenges to building a network or consortium of trustworthy repositori
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Christiansen, L. L., Ducker Jr., C. R., Levine, K. K., Nixon, H., Polunsky, S., Schweyer, L. K., & Witt, M. (2020). Building a National Transportation Data Preservation Network Workshop [poster]. United States. Department of Transportation. National Transportation Library [distributor]. https://doi.org/10.21949/1506103
Christiansen, Leighton L, Charles R Ducker Jr., Kendra K. Levine, Hilary Nixon, Steven Polunsky, Lisa Kay Schweyer, and Michael Witt. Building a National Transportation Data Preservation Network Workshop [poster]. United States. Department of Transportation. National Transportation Library [distributor], 2020. https://doi.org/10.21949/1506103.
Christiansen, Leighton L, et al. Building a National Transportation Data Preservation Network Workshop [poster]. United States. Department of Transportation. National Transportation Library [distributor], 2020, ROSA P. https://doi.org/10.21949/1506103.
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office (ITSJPO)
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2020-12-30
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This dataset contains Signal Phasing and Timing (SPaT), MAP, and Basic Safety Messages (BSM) data from the "Feasibility Study and Assessment of Communications Approaches for Real-Time Traffic Signal Applications" project in the hexadecimal string and pcap formats. The project characterizes and assesses the feasibility of SPaT messages for infrastru
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DatasetSupporting Files
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office (ITSJPO), & Leidos (2020). Feasibility Study and Assessment of Communications Approaches for Real-Time Traffic Signal Applications Study [supporting datasets]. United States. Department of Transportation. National Transportation Library [distributor]. https://doi.org/10.21949/1520082
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office (ITSJPO) and Leidos. Feasibility Study and Assessment of Communications Approaches for Real-Time Traffic Signal Applications Study [supporting datasets]. United States. Department of Transportation. National Transportation Library [distributor], 2020. https://doi.org/10.21949/1520082.
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office (ITSJPO), et al. Feasibility Study and Assessment of Communications Approaches for Real-Time Traffic Signal Applications Study [supporting datasets]. United States. Department of Transportation. National Transportation Library [distributor], 2020, ROSA P. https://doi.org/10.21949/1520082.
The Federal Radionavigation Plan (FRP) is the official source of positioning, navigation, and timing (PNT) policy and planning for the Federal Government. It is required by the National Defense Authorization Act for Fiscal Year (FY) 1998, as published under Title 10 United States Code, Section 2281, paragraph (c) (10 USC 2281(c)). The FRP is prepar
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Esper, M., Chao, E. L., & Wolf, C. F. (2020). 2019 Federal Radionavigation Plan (Report No. DOT-VNTSC-OST-R-15-01). United States. Dept. of Defense. https://rosap.ntl.bts.gov/view/dot/43623
Esper, Mark, Elaine L. Chao, and Chad F Wolf. 2019 Federal Radionavigation Plan. Report no. DOT-VNTSC-OST-R-15-01. United States. Dept. of Defense, 2020. https://rosap.ntl.bts.gov/view/dot/43623.
Esper, Mark, et al. 2019 Federal Radionavigation Plan. United States. Dept. of Defense, 2020, Report no. DOT-VNTSC-OST-R-15-01, ROSA P. https://rosap.ntl.bts.gov/view/dot/43623.
Maintenance and layover facilities are vital in operating and maintaining passenger rail systems. This research project is interested in the decision-making criteria for locating such facilities and how those criteria impact the performance of the rail system. This research project looks at the locations and the types of most recently-built rail ma
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Chandra, S., & Rahmani, M. (2020). Locations for Future Intercity Passenger Rail Maintenance or Layover Facilities in CA (Report No. CA20-3296). California. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/55679
Chandra, Shailesh and Mehran Rahmani. Locations for Future Intercity Passenger Rail Maintenance or Layover Facilities in CA. Report no. CA20-3296. California. Department of Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/55679.
Chandra, Shailesh, and Mehran Rahmani Locations for Future Intercity Passenger Rail Maintenance or Layover Facilities in CA. California. Department of Transportation, 2020, Report no. CA20-3296, ROSA P. https://rosap.ntl.bts.gov/view/dot/55679.
In the state of Nebraska, over one-third of roadways are unpaved, and consequently require a significant amount of financial and operational resources to maintain their operation. Undesired behavior of surface gravel aggregates and the road surfaces can include rutting, corrugation, and ponding that may lead to reduced driving safety, speed or netw
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Liao, Y., Mohammadi, M. E., Wood, R. L., & Kim, Y. R. (2020). Improvement of Low Traffic Volume Gravel Roads in Nebraska (Report No. SPR-P1(16) M040). Nebraska. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/64445
Liao, Yijun, Mohammad Ebrahim Mohammadi, Richard L. Wood, and Yong-Rak Kim. Improvement of Low Traffic Volume Gravel Roads in Nebraska. Report no. SPR-P1(16) M040. Nebraska. Department of Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/64445.
Liao, Yijun, et al. Improvement of Low Traffic Volume Gravel Roads in Nebraska. Nebraska. Department of Transportation, 2020, Report no. SPR-P1(16) M040, ROSA P. https://rosap.ntl.bts.gov/view/dot/64445.
Much attention has been placed on the role that under-roadway culverts may have in inhibiting upstream fish movement because of altered hydrology and unsuitable conditions for accessing or swimming through the culvert. Other culvert effects related to habitat alterations or disturbance to macroinvertebrate communities have received relatively littl
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Journey, C. A., Riley, J. W., Beaulieu, K. M., & Walsh, S. J. (2020). Effects of Box Culverts on Stream Habitat, Channel Morphology, and Fish and Macroinvertebrate Communities at Selected Sites in South Carolina, 2016–18 (Report No. 2020–5021). United States. Geological Survey (USGS). https://doi.org/10.3133/sir20205021
Journey, Celeste A., Jeffrey W. Riley, Karen M. Beaulieu, and Stephen J. Walsh. Effects of Box Culverts on Stream Habitat, Channel Morphology, and Fish and Macroinvertebrate Communities at Selected Sites in South Carolina, 2016–18. Report no. 2020–5021. United States. Geological Survey (USGS), 2020. https://doi.org/10.3133/sir20205021.
Journey, Celeste A., et al. Effects of Box Culverts on Stream Habitat, Channel Morphology, and Fish and Macroinvertebrate Communities at Selected Sites in South Carolina, 2016–18. United States. Geological Survey (USGS), 2020, Report no. 2020–5021, ROSA P. https://doi.org/10.3133/sir20205021.
Mathematical models of car-following, lane changing, and gap acceptance are mostly descriptive in nature and lack decision making or error tolerance. Including additional driver-related information with respect to behavior and cognitive characteristics would account for these lacking parameters and incorporate a human aspect to these models. Car-fo
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Kondyli, A., Chrysikou, E., & Kummetha, V. (2020). Modeling Driver Behavior and Aggressiveness Using Biobehavioral Methods – Phase II (Report No. 25-1121-0005-153-2). University of Nebraska-Lincoln. Mid-America Transportation Center. https://rosap.ntl.bts.gov/view/dot/54548
Kondyli, Alexandra, Evangelia Chrysikou, and Vishal Kummetha. Modeling Driver Behavior and Aggressiveness Using Biobehavioral Methods – Phase II. Report no. 25-1121-0005-153-2. University of Nebraska-Lincoln. Mid-America Transportation Center, 2020. https://rosap.ntl.bts.gov/view/dot/54548.
Kondyli, Alexandra, et al. Modeling Driver Behavior and Aggressiveness Using Biobehavioral Methods – Phase II. University of Nebraska-Lincoln. Mid-America Transportation Center, 2020, Report no. 25-1121-0005-153-2, ROSA P. https://rosap.ntl.bts.gov/view/dot/54548.
With infrastructure continuing to age, technologies are being developed to strengthen structures as a more sustainable option than replacement. The use of fiber reinforced cementitious matrix (FRCM) strengthening systems is a promising new technology for adding flexural and shear capacity to existing reinforced concrete members. While cement based
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Myers, J. J., Hernandez, E. S., & Janke, M. A. (2020). Strengthening and Repair of Structural Concrete with a Fabric-Reinforced-Cementitious-Matrix (FRCM) [Volume II]: Field Studies (Report No. RECAST UTC # 00047948). Research on Concrete Applications for Sustainable Transportation (RE-CAST) (UTC). https://rosap.ntl.bts.gov/view/dot/54677
Myers, John J., Eli S. Hernandez, and Michael A Janke. Strengthening and Repair of Structural Concrete with a Fabric-Reinforced-Cementitious-Matrix (FRCM) [Volume II]: Field Studies. Report no. RECAST UTC # 00047948. Research on Concrete Applications for Sustainable Transportation (RE-CAST) (UTC), 2020. https://rosap.ntl.bts.gov/view/dot/54677.
Myers, John J., et al. Strengthening and Repair of Structural Concrete with a Fabric-Reinforced-Cementitious-Matrix (FRCM) [Volume II]: Field Studies. Research on Concrete Applications for Sustainable Transportation (RE-CAST) (UTC), 2020, Report no. RECAST UTC # 00047948, ROSA P. https://rosap.ntl.bts.gov/view/dot/54677.
The primary objective of this project was to conduct a field evaluation of a vehicle-to-infrastructure (V2I) connected vehicle traffic signal system deployment in Ada County, Idaho, focusing on validating the communication architecture and control technology readiness for broad implementation. To that end, the reliability of line-of-sight packet ex
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Mohammad, U., Madkour, F. E., Abdel-Rahim, A., Sorour, S., Hefeida, M., & Khanal, M. (2020). Field Evaluation of V2I Connected Vehicle Deployment in Ada County, Idaho: Validating Communication Architecture and Control Technology Readiness (Report No. 2017-S-UI-1). Pacific Northwest Transportation Consortium (PacTrans) (UTC). https://rosap.ntl.bts.gov/view/dot/54015
Mohammad, Umair, Fatma Elzahraa Madkour, Ahmed Abdel-Rahim, Sameh Sorour, Mohamed Hefeida, and Mandar Khanal. Field Evaluation of V2I Connected Vehicle Deployment in Ada County, Idaho: Validating Communication Architecture and Control Technology Readiness. Report no. 2017-S-UI-1. Pacific Northwest Transportation Consortium (PacTrans) (UTC), 2020. https://rosap.ntl.bts.gov/view/dot/54015.
Mohammad, Umair, et al. Field Evaluation of V2I Connected Vehicle Deployment in Ada County, Idaho: Validating Communication Architecture and Control Technology Readiness. Pacific Northwest Transportation Consortium (PacTrans) (UTC), 2020, Report no. 2017-S-UI-1, ROSA P. https://rosap.ntl.bts.gov/view/dot/54015.
The Manhattan Bridge in NYC is spanning the East River and connecting the island of Manhattan to Brooklyn. It is subjected to repeated dynamic loads, especially by the transit system trains with the average daily traffic of 1,000 trains/85,000 automobiles per day. As a result of repeated loads, multitudes of cracks have been developed in the floor
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Babanajad, S., Moon, F., Braley, J., Ansari, F., Norouzzadeh, E., Taylor, T., Roy, S., & Maher, A. (2020). Structural Health Monitoring of Representative Cracks in the Manhattan Bridge (Report No. CAIT-UTC-NC61). Rutgers University. Center for Advanced Infrastructure and Transportation. https://rosap.ntl.bts.gov/view/dot/54576
Babanajad, Saeed, Franklin Moon, John Braley, Farhad Ansari, Emad Norouzzadeh, Todd Taylor, Sougata Roy, and Ali Maher. Structural Health Monitoring of Representative Cracks in the Manhattan Bridge. Report no. CAIT-UTC-NC61. Rutgers University. Center for Advanced Infrastructure and Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/54576.
Babanajad, Saeed, et al. Structural Health Monitoring of Representative Cracks in the Manhattan Bridge. Rutgers University. Center for Advanced Infrastructure and Transportation, 2020, Report no. CAIT-UTC-NC61, ROSA P. https://rosap.ntl.bts.gov/view/dot/54576.
Snow and ice accumulation on pavement reduces roadway surface friction, resulting in diminished vehicle maneuverability, slower travel speeds, reduced roadway capacity, and increased crash risk. Though the use of chlorides and other freeze-inhibiting substances have been shown to reduce these negative factors, methods to quantify and analyze snow a
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Belz, N., & Fulton, G. (2020). Measuring Dispersal and Tracking of Anti-Icing and Deicing Chemicals by Using In-Situ Spectral Data – Phase I. Pacific Northwest Transportation Consortium (PacTrans) (UTC). https://rosap.ntl.bts.gov/view/dot/55774
Belz, Nathan and Gabriel Fulton. Measuring Dispersal and Tracking of Anti-Icing and Deicing Chemicals by Using In-Situ Spectral Data – Phase I. Pacific Northwest Transportation Consortium (PacTrans) (UTC), 2020. https://rosap.ntl.bts.gov/view/dot/55774.
Belz, Nathan, and Gabriel Fulton Measuring Dispersal and Tracking of Anti-Icing and Deicing Chemicals by Using In-Situ Spectral Data – Phase I. Pacific Northwest Transportation Consortium (PacTrans) (UTC), 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/55774.
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