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.
On December 15, 2017, the Virginia Department of Transportation’s Richmond District began a towing and recovery incentive program (TRIP) pilot where tow companies receive a monetary bonus for clearing commercial vehicle crashes within 90 minutes. TRIP’s key objective is the facilitation of quick and safe clearance of commercial vehicle crashes thro
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Dougald, L. E., & Venkatanarayana, R. (2019). Assessment of the Richmond District’s Towing and Recovery Incentive Program (Trip) Pilot (Report No. VTRC 20-R11). Virginia Transportation Research Council (VTRC). https://rosap.ntl.bts.gov/view/dot/61612
Dougald, Lance E and Ramkumar Venkatanarayana. Assessment of the Richmond District’s Towing and Recovery Incentive Program (Trip) Pilot. Report no. VTRC 20-R11. Virginia Transportation Research Council (VTRC), 2019. https://rosap.ntl.bts.gov/view/dot/61612.
Dougald, Lance E, and Ramkumar Venkatanarayana Assessment of the Richmond District’s Towing and Recovery Incentive Program (Trip) Pilot. Virginia Transportation Research Council (VTRC), 2019, Report no. VTRC 20-R11, ROSA P. https://rosap.ntl.bts.gov/view/dot/61612.
The purpose of this report is to describe the results of a study to (1) estimate flood-frequency characteristics for selected streamgages in Ohio and adjacent states based on data collected through water year 2015; (2) develop and present techniques for estimating flood-frequency characteristics of rural, unregulated streams in Ohio; and (3) implem
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Koltun, G. (2019). Flood-Frequency Estimates for Ohio Streamgages Based on Data through Water Year 2015 and Techniques for Estimating Flood-Frequency Characteristics of Rural, Unregulated Ohio Streams (Report No. Scientific Investigations Report 2019-5018). Geological Survey (U.S.). https://doi.org/10.3133/sir20195018
Koltun, G.F.. Flood-Frequency Estimates for Ohio Streamgages Based on Data through Water Year 2015 and Techniques for Estimating Flood-Frequency Characteristics of Rural, Unregulated Ohio Streams. Report no. Scientific Investigations Report 2019-5018. Geological Survey (U.S.), 2019. https://doi.org/10.3133/sir20195018.
Koltun, G.F. Flood-Frequency Estimates for Ohio Streamgages Based on Data through Water Year 2015 and Techniques for Estimating Flood-Frequency Characteristics of Rural, Unregulated Ohio Streams. Geological Survey (U.S.), 2019, Report no. Scientific Investigations Report 2019-5018, ROSA P. https://doi.org/10.3133/sir20195018.
INDOT will soon be embarking on infrastructure planning to accommodate autonomous vehicles. This new technology affords the ability to impact economic value creation across the supply chain in Indiana, as well as foster economic development in Indiana to support these emerging technologies. This proposal will be a first cut towards exploring the de
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Iyer, A. V., Dunlop, S. R., Singh, A. G., Bhatia, M., & Rahman, S. (2019). Developing a Business Ecosystem Around Autonomous Vehicle Infrastructure in Indiana (Report No. FHWA/IN/JTRP-2019/20). Purdue University. Joint Transportation Research Program. https://doi.org/10.5703/1288284317088
Iyer, Ananth V, Steven R Dunlop, Anmol Guram Singh, Mihir Bhatia, and Sazzadur Rahman. Developing a Business Ecosystem Around Autonomous Vehicle Infrastructure in Indiana. Report no. FHWA/IN/JTRP-2019/20. Purdue University. Joint Transportation Research Program, 2019. https://doi.org/10.5703/1288284317088.
Iyer, Ananth V, et al. Developing a Business Ecosystem Around Autonomous Vehicle Infrastructure in Indiana. Purdue University. Joint Transportation Research Program, 2019, Report no. FHWA/IN/JTRP-2019/20, ROSA P. https://doi.org/10.5703/1288284317088.
In last few months, North Carolina Department of Transportation (NCDOT) has encountered recently paved sections exhibiting early distress throughout the state which is a major concern. NCDOT conducted an internal investigation on the causes of early distresses. And this investigation did not yield any conclusive results, hence; NCDOT recognized the
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Kusam, A., & Bacchi, C. (2019). Use of Laboratory Testing to Predict Premature Failures in Asphalt (Report No. FHWA/NC/2019-35). North Carolina Department of Transportation. Research and Development Unit. https://rosap.ntl.bts.gov/view/dot/61608
Kusam, Abhilash and Chris Bacchi. Use of Laboratory Testing to Predict Premature Failures in Asphalt. Report no. FHWA/NC/2019-35. North Carolina Department of Transportation. Research and Development Unit, 2019. https://rosap.ntl.bts.gov/view/dot/61608.
Kusam, Abhilash, and Chris Bacchi Use of Laboratory Testing to Predict Premature Failures in Asphalt. North Carolina Department of Transportation. Research and Development Unit, 2019, Report no. FHWA/NC/2019-35, ROSA P. https://rosap.ntl.bts.gov/view/dot/61608.
In 2007, the Virginia Department of Transportation (VDOT) introduced specifications to allow asphalt surface mixtures to have up to 30% reclaimed asphalt pavement (RAP) without a change in the virgin binder grade. Since 2007, increasing material costs and a growing awareness of the quantity of RAP available for use have sparked interest in allowing
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Nair, H., Diefenderfer, S. D., & Bowers, B. F. (2019). Assessing Increased Use of Reclaimed Asphalt Pavement in Asphalt Mixtures (Report No. FHWA/VTRC 20-R9). Virginia Transportation Research Council (VTRC). https://rosap.ntl.bts.gov/view/dot/62354
Nair, Harikrishnan, Stacey D Diefenderfer, and Benjamin F. Bowers. Assessing Increased Use of Reclaimed Asphalt Pavement in Asphalt Mixtures. Report no. FHWA/VTRC 20-R9. Virginia Transportation Research Council (VTRC), 2019. https://rosap.ntl.bts.gov/view/dot/62354.
Nair, Harikrishnan, et al. Assessing Increased Use of Reclaimed Asphalt Pavement in Asphalt Mixtures. Virginia Transportation Research Council (VTRC), 2019, Report no. FHWA/VTRC 20-R9, ROSA P. https://rosap.ntl.bts.gov/view/dot/62354.
Florida Atlantic University researchers developed an online system, the Mapping Evaluation Tool (MET), that brings together traffic data from various sources and delivers it to traffic managers as a map.
Stevanovic, A. (2019). Development of Traffic Map Evaluation Tool for TMC Applications [Summary]. Florida Department of Transportation. https://rosap.ntl.bts.gov/view/dot/65617
Stevanovic, Aleksandar. Development of Traffic Map Evaluation Tool for TMC Applications [Summary]. Florida Department of Transportation, 2019. https://rosap.ntl.bts.gov/view/dot/65617.
Stevanovic, Aleksandar Development of Traffic Map Evaluation Tool for TMC Applications [Summary]. Florida Department of Transportation, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/65617.
Traffic fatality and injury rates have steadily decreased since 1950 thanks to the collective impacts of law enforcement, driver education, highway engineering, emergency medical services and advancements in vehicle safety technologies. However, motor vehicle crashes are still a leading cause of death in Wisconsin.
Qin, Xiao Traffic Crash Variables in Wisconsin [Research Brief]. Wisconsin. Department of Transportation, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/66635.
2019-10-01
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FAA Center of Excellence for Alternative Jet Fuels & Environment Annual Technical Reports
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This report covers the period October 1, 2018 through September 30, 2019. The Center was established by the authority of FAA solicitation 13-C-AJFE-Solicitation. During that time the ASCENT team launched a new website, which can be viewed at ascent.aero. The next meeting will be held virtually March 31 - April 1, 2020. Over the last year, the ASCEN
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ASCENT Aviation Sustainability Center (2019). FAA Center of Excellence Alternative Jet Fuels & Environment: Annual Technical Report 2019: For the Period October 1, 2018 - September 30, 2019. ASCENT Aviation Sustainability Center. https://rosap.ntl.bts.gov/view/dot/49471
ASCENT Aviation Sustainability Center. FAA Center of Excellence Alternative Jet Fuels & Environment: Annual Technical Report 2019: For the Period October 1, 2018 - September 30, 2019. ASCENT Aviation Sustainability Center, 2019. https://rosap.ntl.bts.gov/view/dot/49471.
ASCENT Aviation Sustainability Center FAA Center of Excellence Alternative Jet Fuels & Environment: Annual Technical Report 2019: For the Period October 1, 2018 - September 30, 2019. ASCENT Aviation Sustainability Center, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/49471.
Airborne light detection and ranging (lidar) and unmanned aircraft systems (UAS), also called drones, are emerging technologies that are of growing interest for a range of transportation applications. At the same time, machine learning is leading to rapid advances in the ability to automatically extract actionable information from lidar data. This
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Parrish, C., Hurwitz, D., Simpson, C., Sorour, S., & Abdel-Rahim, A. (2019). An Airborne Lidar Scanning and Deep Learning System for Real-Time Event Extraction and Control Policies in Urban Transportation Networks. Pacific Northwest Transportation Consortium (PacTrans) (UTC). https://rosap.ntl.bts.gov/view/dot/54773
Parrish, Christopher, David Hurwitz, Chase Simpson, Sameh Sorour, and Ahmed Abdel-Rahim. An Airborne Lidar Scanning and Deep Learning System for Real-Time Event Extraction and Control Policies in Urban Transportation Networks. Pacific Northwest Transportation Consortium (PacTrans) (UTC), 2019. https://rosap.ntl.bts.gov/view/dot/54773.
Parrish, Christopher, et al. An Airborne Lidar Scanning and Deep Learning System for Real-Time Event Extraction and Control Policies in Urban Transportation Networks. Pacific Northwest Transportation Consortium (PacTrans) (UTC), 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/54773.
In the history of this country, rural, isolated, indigenous, and tribal (RITI) communities were commonly overlooked with regards to social infrastructure and support. This issue is evident in the development of the transportation networks of these areas and the distinct lack of road safety in these types of communities. RITI communities carry a sig
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Wang, Y., Sun, W., Yang, H., Gottsacker, C., Ricord, S., & Yin, S. (2019). Developing a Data-Driven Safety Assessment Framework for RITI Communities in Washington State. University of Alaska Fairbanks. Center for Safety Equity in Transportation (CSET). http://hdl.handle.net/11122/10602
Wang, Yinhai, Wei Sun, Hao Yang, Christopher Gottsacker, Sam Ricord, and Shuyi Yin. Developing a Data-Driven Safety Assessment Framework for RITI Communities in Washington State. University of Alaska Fairbanks. Center for Safety Equity in Transportation (CSET), 2019. http://hdl.handle.net/11122/10602.
Wang, Yinhai, et al. Developing a Data-Driven Safety Assessment Framework for RITI Communities in Washington State. University of Alaska Fairbanks. Center for Safety Equity in Transportation (CSET), 2019, ROSA P. http://hdl.handle.net/11122/10602.
The Northeast Connected and Automated Vehicle Summit was hosted by the Connecticut Department of Transportation, the Federal Highway Administration, and the University of Connecticut on June 12-13, 2019, at the Hartford Hilton Hotel. The event provided an open forum for stakeholders in the Northeast to network, share, and discuss a wide range of to
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Jackson, E., Auguste, M., & Simler, T. (2019). 2019 Northeast Connected and Automated Vehicle Summit Report (Report No. CT-2318-F-19-5). Connecticut. Dept. of Transportation. https://rosap.ntl.bts.gov/view/dot/55544
Jackson, Eric, Marisa Auguste, and Tara Simler. 2019 Northeast Connected and Automated Vehicle Summit Report. Report no. CT-2318-F-19-5. Connecticut. Dept. of Transportation, 2019. https://rosap.ntl.bts.gov/view/dot/55544.
Jackson, Eric, et al. 2019 Northeast Connected and Automated Vehicle Summit Report. Connecticut. Dept. of Transportation, 2019, Report no. CT-2318-F-19-5, ROSA P. https://rosap.ntl.bts.gov/view/dot/55544.
A new methodology to estimate unknown pile length called Effective Dispersion of Reflections (EDAR) was developed. A software package was also developed for seamless application of the methodology. EDAR software facilitates data acquisition in the field and the subsequent analysis of the data to estimate pile length. In addition to providing length
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Samu, V., & Guddati, M. N. (2019). Pile Length Determination at Unknown Bridge Foundations (Report No. FHWA-AK-RD-000S(875)). Alaska. Department of Transportation and Public Facilities. Research and Technology Transfer. https://rosap.ntl.bts.gov/view/dot/51772
Samu, Vivek and M. N. Guddati. Pile Length Determination at Unknown Bridge Foundations. Report no. FHWA-AK-RD-000S(875). Alaska. Department of Transportation and Public Facilities. Research and Technology Transfer, 2019. https://rosap.ntl.bts.gov/view/dot/51772.
Samu, Vivek, and M. N. Guddati Pile Length Determination at Unknown Bridge Foundations. Alaska. Department of Transportation and Public Facilities. Research and Technology Transfer, 2019, Report no. FHWA-AK-RD-000S(875), ROSA P. https://rosap.ntl.bts.gov/view/dot/51772.
Autonomous vehicles (AVs) are poised to dramatically reshape the transportation system. They are likely to have significant consequences on urban transportation issues: energy use, vehicle miles traveled, the need for neighborhood parking, the ease of accessing employment, and the incidence of pollution—in both positive and negative directions. Nat
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Zhao, J. (2019). An Urban Agenda for Autonomous Vehicles: Embedding Planning Principles into Technological Deployment (Report No. MITR25-49). New England University Transportation Center. https://rosap.ntl.bts.gov/view/dot/43820
Zhao, Jinhua. An Urban Agenda for Autonomous Vehicles: Embedding Planning Principles into Technological Deployment. Report no. MITR25-49. New England University Transportation Center, 2019. https://rosap.ntl.bts.gov/view/dot/43820.
Zhao, Jinhua An Urban Agenda for Autonomous Vehicles: Embedding Planning Principles into Technological Deployment. New England University Transportation Center, 2019, Report no. MITR25-49, ROSA P. https://rosap.ntl.bts.gov/view/dot/43820.
As the Florida Department of Transportation’s (FDOT) work advances the development of a multimodal system for the State of Florida, the Transportation Data & Analytics (TDA) Office anticipates that the development of new modes, including the Shared Use Nonmotorized (SUN) Trail network, will soon outpace current FDOT data inventory systems and pract
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Hendricks, S., & Catalá, M. (2019). Multimodal Data Inventory Evaluation to Improve FDOT’s Roadway Classification Inventory. University of South Florida. Center for Urban Transportation Research. https://rosap.ntl.bts.gov/view/dot/61845
Hendricks, Sara and Martin Catalá. Multimodal Data Inventory Evaluation to Improve FDOT’s Roadway Classification Inventory. University of South Florida. Center for Urban Transportation Research, 2019. https://rosap.ntl.bts.gov/view/dot/61845.
Hendricks, Sara, and Martin Catalá Multimodal Data Inventory Evaluation to Improve FDOT’s Roadway Classification Inventory. University of South Florida. Center for Urban Transportation Research, 2019, ROSA P. https://rosap.ntl.bts.gov/view/dot/61845.
Pricing externalities from vehicle use such as road damage, vehicular emissions (both greenhouse gases and local pollutants), and congestion has become a hot topic in the transportation sector in recent years. Road user charge pilot programs are being explored in various states in the US, cities like New York and San Francisco are following in the
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Jenn, A. (2019). Implementing Pricing Schemes to Meet a Variety of Transportation Goals (Report No. CA19-3399). University of California, Davis. Institute of Transportation Studies. https://rosap.ntl.bts.gov/view/dot/57017
Jenn, Alan. Implementing Pricing Schemes to Meet a Variety of Transportation Goals. Report no. CA19-3399. University of California, Davis. Institute of Transportation Studies, 2019. https://rosap.ntl.bts.gov/view/dot/57017.
Jenn, Alan Implementing Pricing Schemes to Meet a Variety of Transportation Goals. University of California, Davis. Institute of Transportation Studies, 2019, Report no. CA19-3399, ROSA P. https://rosap.ntl.bts.gov/view/dot/57017.
The near-term goal of this project was to develop and evaluate an initial set of standardized test procedures that vehicles equipped with automated driving features could undergo to compare capabilities and limitations across different implementations of automated technologies. In the longer term, this project will provide a basis for future automa
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DatasetSupporting Files
Basantis, A., Harwood, L., Doerzaph, Z., & Neurauter, L. (2019). Standardized Performance Evaluation of Vehicles with Automated Capabilities [supporting dataset] (Report No. VTTI-00-020). Safety through Disruption (Safe-D) University Transportation Center (UTC). https://doi.org/10.15787/VTT1/D946JJ
Basantis, Alexis, Leslie Harwood, Zachary Doerzaph, and Luke Neurauter. Standardized Performance Evaluation of Vehicles with Automated Capabilities [supporting dataset]. Report no. VTTI-00-020. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2019. https://doi.org/10.15787/VTT1/D946JJ.
Basantis, Alexis, et al. Standardized Performance Evaluation of Vehicles with Automated Capabilities [supporting dataset]. Safety through Disruption (Safe-D) University Transportation Center (UTC), 2019, Report no. VTTI-00-020, ROSA P. https://doi.org/10.15787/VTT1/D946JJ.
Transportation connects citizens to their communities and is critical to healthy aging. Globally, the world population continues to live longer, presenting important implications and challenges to economic and social policy. By 2050, 16% of the world’s population will be ages 65 and older, up from 9% in 2018 (Kaneda, Greenbaum & Patierno, 2018). Un
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Patskanick, T., & D'Ambrosio, L. (2019). Transit Fare Discount Processing Improvements for Disadvantaged Populations (Report No. MITR25-50). New England University Transportation Center. https://rosap.ntl.bts.gov/view/dot/43822
Patskanick, Taylor and Lisa D'Ambrosio. Transit Fare Discount Processing Improvements for Disadvantaged Populations. Report no. MITR25-50. New England University Transportation Center, 2019. https://rosap.ntl.bts.gov/view/dot/43822.
Patskanick, Taylor, and Lisa D'Ambrosio Transit Fare Discount Processing Improvements for Disadvantaged Populations. New England University Transportation Center, 2019, Report no. MITR25-50, ROSA P. https://rosap.ntl.bts.gov/view/dot/43822.
The U.S. Department of Transportation (USDOT) is actively researching intelligent transportation systems (ITS) aimed at reducing traffic incidents, improving safety, and gathering real-time travel time (TT) information. An important aspect of the process is specifying the characteristics of traffic schemes, which include vehicle classification, ori
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Afify, M., Chan, S., Alsallakh, M., & Refai, H. H. (2019). Vehicle Classification and Bluetooth MACs for Origin Destination Measurements (Report No. FHWA-OK-19-04). Oklahoma. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/57306
Afify, Mohamed, Samuel Chan, Munzer Alsallakh, and Hazem H. Refai. Vehicle Classification and Bluetooth MACs for Origin Destination Measurements. Report no. FHWA-OK-19-04. Oklahoma. Department of Transportation, 2019. https://rosap.ntl.bts.gov/view/dot/57306.
Afify, Mohamed, et al. Vehicle Classification and Bluetooth MACs for Origin Destination Measurements. Oklahoma. Department of Transportation, 2019, Report no. FHWA-OK-19-04, ROSA P. https://rosap.ntl.bts.gov/view/dot/57306.
The main objective of this study was to investigate the effect of different CV lane configurations and various market penetration rates on the safety and operation of the MLs network. Additionally, work will be done for studying the lower levels of automated vehicles (Level 1/Level 2) in a CV environment in the MLs network and determining the optim
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DatasetSupporting Files
Abdel-Aty, M., Wu, Y., Saad, M., & Rahman, M. S. (2019). Evaluation of Managed Lane Facilities in a Connected Vehicle Environment [supporting datasets]. Safety Research Using Simulation (SAFER-SIM) University Transportation Center. https://doi.org/10.7910/DVN/8QHMOF
Abdel-Aty, Mohamed, Yina Wu, Moatz Saad, and Md Sharikur Rahman. Evaluation of Managed Lane Facilities in a Connected Vehicle Environment [supporting datasets]. Safety Research Using Simulation (SAFER-SIM) University Transportation Center, 2019. https://doi.org/10.7910/DVN/8QHMOF.
Abdel-Aty, Mohamed, et al. Evaluation of Managed Lane Facilities in a Connected Vehicle Environment [supporting datasets]. Safety Research Using Simulation (SAFER-SIM) University Transportation Center, 2019, ROSA P. https://doi.org/10.7910/DVN/8QHMOF.
Vehicle detection, counting, and classification are key for not only improving road designs and maintenance, but also driver safety. In pursuit of these objectives, the authors proposed an automated system for collecting temporary vehicle data (e.g., count, speed, vehicle classification based on axles, collection date and time, among other factors)
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Kaja Najumudeen, M. E. A. B., Kaleia, M. S., & Refai, H. H. (2019). Improving the Efficiency and Accuracy of ODOT Temporary Traffic Monitoring System (Report No. FHWA-OK-19-02). Oklahoma. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/57424
Kaja Najumudeen, Mohamat Eirban Ali Bin, Muhanad Shab Kaleia, and Hazem H. Refai. Improving the Efficiency and Accuracy of ODOT Temporary Traffic Monitoring System. Report no. FHWA-OK-19-02. Oklahoma. Department of Transportation, 2019. https://rosap.ntl.bts.gov/view/dot/57424.
Kaja Najumudeen, Mohamat Eirban Ali Bin, et al. Improving the Efficiency and Accuracy of ODOT Temporary Traffic Monitoring System. Oklahoma. Department of Transportation, 2019, Report no. FHWA-OK-19-02, ROSA P. https://rosap.ntl.bts.gov/view/dot/57424.
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