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.
Daytime lighting is warranted when natural sunlight fails to provide sufficient visibility for tunnel users. According to the American Association of State Highway Transportation Officials (AASHTO) Roadway Lighting Design Guide, no supplemental lighting is required if the tunnel is less than 80 ft in length, whereas supplemental lighting is needed
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Yang, J. J., Yee, T., Amirgholy, M., Ma, S., James, J., & Garcia-Ramos, D. (2023). Daytime Lighting in Short Tunnels (Report No. FHWA-GA-23-2231). Georgia. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/72845
Yang, Jidong J, Tien Yee, Mahyar Amirgholy, Shihan Ma, Joachim James, and David Garcia-Ramos. Daytime Lighting in Short Tunnels. Report no. FHWA-GA-23-2231. Georgia. Department of Transportation, 2023. https://rosap.ntl.bts.gov/view/dot/72845.
Yang, Jidong J, et al. Daytime Lighting in Short Tunnels. Georgia. Department of Transportation, 2023, Report no. FHWA-GA-23-2231, ROSA P. https://rosap.ntl.bts.gov/view/dot/72845.
Highway workers face dangers from distracted drivers and challenging work zones, which results in thousands of incidents annually in the U.S. Traditional safety measures, though beneficial, highlight a need for advanced intrusion alert technologies. While many state DOTs are exploring these technologies, research gaps persist regarding their effect
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Hasanzadeh, S., Esmaeili, B., Lee, K., Pokharkar, H., Poolavand, S., & Chang, W. C. (2023). Implementation and Assessment of Highway Intrusion Technologies (Report No. FHWA/IN/JTRP-2024/08). Purdue University. Joint Transportation Research Program. https://doi.org/10.5703/1288284317727
Hasanzadeh, Sogand, Behzad Esmaeili, Kyeongsuk Lee, Hrishikesh Pokharkar, Shiva Poolavand, and Woei-Chyi Chang. Implementation and Assessment of Highway Intrusion Technologies. Report no. FHWA/IN/JTRP-2024/08. Purdue University. Joint Transportation Research Program, 2023. https://doi.org/10.5703/1288284317727.
Hasanzadeh, Sogand, et al. Implementation and Assessment of Highway Intrusion Technologies. Purdue University. Joint Transportation Research Program, 2023, Report no. FHWA/IN/JTRP-2024/08, ROSA P. https://doi.org/10.5703/1288284317727.
In 2009, the FHWA’s Manual on Uniform Traffic Control Devices (MUTCD) introduced the flashing yellow arrow (FYA) traffic signal as an alternative to circular green (CG) to indicate permitted left turns. The FYA is arguably a more intuitive indication that left turns are permitted but not protected and, in addition, the FYA signal heads can support
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Davis, G. A., Stern, R., Duhn, M., & Gao, J. (2023). Driver Comprehension of Flashing Yellow Arrows (Report No. MN 2023-42). Minnesota. Department of Transportation. Office of Research & Innovation. https://rosap.ntl.bts.gov/view/dot/73127
Davis, Gary A., Raphael Stern, Melissa Duhn, and Jingru Gao. Driver Comprehension of Flashing Yellow Arrows. Report no. MN 2023-42. Minnesota. Department of Transportation. Office of Research & Innovation, 2023. https://rosap.ntl.bts.gov/view/dot/73127.
Davis, Gary A., et al. Driver Comprehension of Flashing Yellow Arrows. Minnesota. Department of Transportation. Office of Research & Innovation, 2023, Report no. MN 2023-42, ROSA P. https://rosap.ntl.bts.gov/view/dot/73127.
The goal of Utah’s Safe Routes to School program is to “help children get to and from school safely” (UDOT, 2022). To that end, state law dictates that each school must maintain a safe routes map showing students the safest route to access the school from their homes. This research examined existing safe routes maps and investigated whether schools
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Burbidge, S. K., Gee, C., Bezzant, D., & Lant, N. (2023). Safe Routes Utah Plans and Active Transportation Safety (Report No. UT-23.19). Utah. Dept. of Transportation. Research Division. https://rosap.ntl.bts.gov/view/dot/73435
Burbidge, Shaunna K., Collin Gee, David Bezzant, and Nate Lant. Safe Routes Utah Plans and Active Transportation Safety. Report no. UT-23.19. Utah. Dept. of Transportation. Research Division, 2023. https://rosap.ntl.bts.gov/view/dot/73435.
Burbidge, Shaunna K., et al. Safe Routes Utah Plans and Active Transportation Safety. Utah. Dept. of Transportation. Research Division, 2023, Report no. UT-23.19, ROSA P. https://rosap.ntl.bts.gov/view/dot/73435.
Agencies that operate traffic signals now have an emerging tool to help them succeed in their day-to-day operations. The availability of high-resolution traffic signal data along with analysis tools has enabled these agencies to troubleshoot problems very quickly before they escalate into bigger issues and to maintain and update signal timings in a
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Sunkari, S. R., & Chaudhary, N. (2023). Guidelines for the Implementation of a Statewide ATSPM System (Report No. FHWA/TX-23/0-7009-R1). Texas A&M Transportation Institute. https://rosap.ntl.bts.gov/view/dot/73156
Sunkari, Srinivasa R and Nadeem Chaudhary. Guidelines for the Implementation of a Statewide ATSPM System. Report no. FHWA/TX-23/0-7009-R1. Texas A&M Transportation Institute, 2023. https://rosap.ntl.bts.gov/view/dot/73156.
Sunkari, Srinivasa R, and Nadeem Chaudhary Guidelines for the Implementation of a Statewide ATSPM System. Texas A&M Transportation Institute, 2023, Report no. FHWA/TX-23/0-7009-R1, ROSA P. https://rosap.ntl.bts.gov/view/dot/73156.
This project presents a comprehensive overview of the essential aspects associated with the cast-in-place application of UHPC, including formwork requirements, surface preparation, mixing procedures, placing methods, curing techniques, grinding specifications, and mockup construction. Each section provides in-depth insights into specific guidelines
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Hu, J., Morcous, G., & Aitbayeva, A. (2023). Production of Cast-in-Place UHPC for Bridge Applications (Report No. SPR-FY22(008)). Nebraska. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/75495
Hu, Jiong, George Morcous, and Akbota Aitbayeva. Production of Cast-in-Place UHPC for Bridge Applications. Report no. SPR-FY22(008). Nebraska. Department of Transportation, 2023. https://rosap.ntl.bts.gov/view/dot/75495.
Hu, Jiong, et al. Production of Cast-in-Place UHPC for Bridge Applications. Nebraska. Department of Transportation, 2023, Report no. SPR-FY22(008), ROSA P. https://rosap.ntl.bts.gov/view/dot/75495.
A performance monitoring and forensic study was conducted on several test sections with varying base and pavement characteristics. This report includes the performance data from the current phase, which was extended until pavement reconstruction, with the previously reported data, collected since original construction of the test sections. Each of
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Hoegh, K. (2023). Performance Monitoring of Olmsted CR 117 and 104 and Aggregate Base Material Update (Report No. MN 2024-01). Minnesota. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/75499
Hoegh, Kyle. Performance Monitoring of Olmsted CR 117 and 104 and Aggregate Base Material Update. Report no. MN 2024-01. Minnesota. Department of Transportation, 2023. https://rosap.ntl.bts.gov/view/dot/75499.
Hoegh, Kyle Performance Monitoring of Olmsted CR 117 and 104 and Aggregate Base Material Update. Minnesota. Department of Transportation, 2023, Report no. MN 2024-01, ROSA P. https://rosap.ntl.bts.gov/view/dot/75499.
This research focused on developing an inspection protocol for post-tensioning (PT) ducts employing flexible filler materials for corrosion protection in bridge applications. Historically, cementitious grouts (CG) have been used to provide corrosion protection and bonding in PT systems. In contrast, flexible filler systems use wax or grease to main
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Brown, J. R., Su, D., McDonald, D., Gonzalez, C., Metz, N., & Bianco, R. (2023). Inspection of Flexible Filler Tendons. Florida Department of Transportation. https://rosap.ntl.bts.gov/view/dot/80865
Brown, Jeff R., Dan Su, Denis McDonald, Carley Gonzalez, Nolan Metz, and Raissa Bianco. Inspection of Flexible Filler Tendons. Florida Department of Transportation, 2023. https://rosap.ntl.bts.gov/view/dot/80865.
This report was commissioned as part of the Washington Department of Transportation’s (WSDOT) Equity in Planning (EiP) project. It presents knowledge drawn from the transportation equity academic literature, practice-oriented literature, community engagement, geospatial (GIS) analysis, and a survey of planning professionals. The project aims to com
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Lewis, E. O., & Gordon, B. M. (2023). Leading Indicators of Transportation Equity: Equity in Planning (Report No. WA-RD 938.1). Washington State Department of Transportation. https://rosap.ntl.bts.gov/view/dot/82181
Lewis, Elyse O and Bethany M Gordon. Leading Indicators of Transportation Equity: Equity in Planning. Report no. WA-RD 938.1. Washington State Department of Transportation, 2023. https://rosap.ntl.bts.gov/view/dot/82181.
Lewis, Elyse O, and Bethany M Gordon Leading Indicators of Transportation Equity: Equity in Planning. Washington State Department of Transportation, 2023, Report no. WA-RD 938.1, ROSA P. https://rosap.ntl.bts.gov/view/dot/82181.
Preble’s meadow jumping mice (PMJM) are rare rodents found along creeks and waterways from southeastern Wyoming to Colorado Springs. In Colorado, PMJM are found in densely vegetation riparian corridors and wetlands along the Front Range. The biggest threat to populations is habitat conversion and alteration. Habitat regeneration and rehabilitation
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Schorr, R. (2023). Granite Property Preble’s Meadow Jumping Mouse Surveys, Boulder, Colorado (Report No. CDOT-2023-18). Colorado. Dept. of Transportation. Applied Research and Innovation Branch. https://rosap.ntl.bts.gov/view/dot/76726
Schorr, Robert. Granite Property Preble’s Meadow Jumping Mouse Surveys, Boulder, Colorado. Report no. CDOT-2023-18. Colorado. Dept. of Transportation. Applied Research and Innovation Branch, 2023. https://rosap.ntl.bts.gov/view/dot/76726.
Schorr, Robert Granite Property Preble’s Meadow Jumping Mouse Surveys, Boulder, Colorado. Colorado. Dept. of Transportation. Applied Research and Innovation Branch, 2023, Report no. CDOT-2023-18, ROSA P. https://rosap.ntl.bts.gov/view/dot/76726.
To demonstrate the value of research and its implementation, the Governor’s Office initially requested an annual financial analysis of the INDOT Research Program to determine the return on the research investment (ROI). The INDOT Research & Development (R&D) has continued to publish an annual Return on Investment report. The current financial analy
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McCullouch, B. (2023). INDOT Research Program Benefit Cost Analysis—Return on Investment for Projects Completed in FY 2022 (Report No. FHWA/IN/JTRP-2023/29). Purdue University. Joint Transportation Research Program. https://doi.org/10.5703/1288284317722
McCullouch, Bob. INDOT Research Program Benefit Cost Analysis—Return on Investment for Projects Completed in FY 2022. Report no. FHWA/IN/JTRP-2023/29. Purdue University. Joint Transportation Research Program, 2023. https://doi.org/10.5703/1288284317722.
McCullouch, Bob INDOT Research Program Benefit Cost Analysis—Return on Investment for Projects Completed in FY 2022. Purdue University. Joint Transportation Research Program, 2023, Report no. FHWA/IN/JTRP-2023/29, ROSA P. https://doi.org/10.5703/1288284317722.
The goal of this project is to change that paradigm by developing a training program that educates MPO board members on the potential for enacting system-wide and corridor-level congestion management and reduction strategies through the federally required metropolitan transportation planning process. More specific goals of this project include aidi
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Kramer, J., Dinehart, T., & Boyd, T. (2023). MPO Board Member Training on Congestion Reduction [Policy Brief]. University of South Florida. National Institute for Congestion Reduction. https://doi.org/10.5038/CUTR-NICR-Y2-E2
Kramer, Jeff, Taylor Dinehart, and Tia Boyd. MPO Board Member Training on Congestion Reduction [Policy Brief]. University of South Florida. National Institute for Congestion Reduction, 2023. https://doi.org/10.5038/CUTR-NICR-Y2-E2.
Kramer, Jeff, et al. MPO Board Member Training on Congestion Reduction [Policy Brief]. University of South Florida. National Institute for Congestion Reduction, 2023, ROSA P. https://doi.org/10.5038/CUTR-NICR-Y2-E2.
The multiple stress creep recovery (MSCR) test, per AASHTO M 332, or as a supplement to M 320, has been widely implemented across the United States and in other parts of the world for assessing the rutting resistance of asphalt binder. Meanwhile, the Illinois Department of Transportation (IDOT) has conducted wide-ranging MSCR testing since 2006 but
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Hajj, R., & Asadi, B. (2023). Review of Illinois Multiple Stress Creep and Recovery Data for Future Implementation (Report No. FHWA-ICT-23-020). Illinois Center for Transportation. https://doi.org/10.36501/0197-9191/23-027
Hajj, Ramez and Babak Asadi. Review of Illinois Multiple Stress Creep and Recovery Data for Future Implementation. Report no. FHWA-ICT-23-020. Illinois Center for Transportation, 2023. https://doi.org/10.36501/0197-9191/23-027.
Hajj, Ramez, and Babak Asadi Review of Illinois Multiple Stress Creep and Recovery Data for Future Implementation. Illinois Center for Transportation, 2023, Report no. FHWA-ICT-23-020, ROSA P. https://doi.org/10.36501/0197-9191/23-027.
Adverse weather conditions have long been recognized as a leading contributing factor to motor vehicle crashes, primarily due to their adverse effects on visibility and road surfaces. Providing drivers with real-time weather information is essential to ensure safe driving in adverse weather conditions. Nonetheless, the identification of road weathe
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Ahmed, M. M., Khan, M. N., Mohamed, A., Das, A., & Li, L. (2023). Automated Real-Time Weather Detection System Using Artificial Intelligence (Report No. WY- 2402F). Wyoming. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/75476
Ahmed, Mohamed M, Md Nasim Khan, Ahmed Mohamed, Anik Das, and Lizhe Li. Automated Real-Time Weather Detection System Using Artificial Intelligence. Report no. WY- 2402F. Wyoming. Department of Transportation, 2023. https://rosap.ntl.bts.gov/view/dot/75476.
Ahmed, Mohamed M, et al. Automated Real-Time Weather Detection System Using Artificial Intelligence. Wyoming. Department of Transportation, 2023, Report no. WY- 2402F, ROSA P. https://rosap.ntl.bts.gov/view/dot/75476.
Data is becoming increasingly important for state Departments of Transportation (DOTs) in making strategic and day to- day decisions. This research offers a comprehensive review of both existing and emerging data sources for Transportation Systems Management and Operations (TSMO). It discusses and summarizes the pros and cons of each data source. A
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Xie, Y., Liu, R., Bhuyan, Z., Chen, D., Ge, T., Shirazi, M., Vergara, E., & Aviles-Ordonez, J. (2023). Current Status of Transportation Data Analytics and Pilot Case Studies Using Artificial Intelligence (AI) (Report No. NETCR124). New England Transportation Consortium. https://rosap.ntl.bts.gov/view/dot/75610
Xie, Yuanchang, Ruifeng Liu, Zubin Bhuyan, Danjue Chen, Tingjian Ge, Mohammadali Shirazi, Eduardo Vergara, and Juan Aviles-Ordonez. Current Status of Transportation Data Analytics and Pilot Case Studies Using Artificial Intelligence (AI). Report no. NETCR124. New England Transportation Consortium, 2023. https://rosap.ntl.bts.gov/view/dot/75610.
Xie, Yuanchang, et al. Current Status of Transportation Data Analytics and Pilot Case Studies Using Artificial Intelligence (AI). New England Transportation Consortium, 2023, Report no. NETCR124, ROSA P. https://rosap.ntl.bts.gov/view/dot/75610.
New technologies, such as unmanned aerial vehicles (UAVs) and machine learning, have been used to conduct imagery-based bridge inspections and evaluate damage on bridges. However, corrosion detection is still an open problem, and corrosion detection algorithms have only proven adequate in certain environments and conditions. The main goal of this p
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Tien, I., & Herndon, H. (2023). UAS-Assisted Inspection of Bridges for Corrosion Effects (Report No. FHWA-GA-23-2201). Georgia. Department of Transportation. Office of Performance-Based Management & Research. https://rosap.ntl.bts.gov/view/dot/72841
Tien, Iris and Hana Herndon. UAS-Assisted Inspection of Bridges for Corrosion Effects. Report no. FHWA-GA-23-2201. Georgia. Department of Transportation. Office of Performance-Based Management & Research, 2023. https://rosap.ntl.bts.gov/view/dot/72841.
Tien, Iris, and Hana Herndon UAS-Assisted Inspection of Bridges for Corrosion Effects. Georgia. Department of Transportation. Office of Performance-Based Management & Research, 2023, Report no. FHWA-GA-23-2201, ROSA P. https://rosap.ntl.bts.gov/view/dot/72841.
Traditional safety assessment methodologies are profoundly dependent on reactive crash data. The Highway Safety Manual (HSM) approach recommends 3-5 worth of crash data before and after the implementation of safety countermeasures. Waiting for such a long period of time might not be feasible to address safety issues at various roadway facilities. F
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Ahmed, M., Mohamed, A., Li, L., Sigdel, M., & Maddineni, V. (2023). Rapid Safety Assessment Tool for Non-Conventional Roadway Designs and Emerging Technologies: Innovative Artificial Intelligence Application (Report No. WY- 2405F). Wyoming. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/75474
Ahmed, Mohamed, Ahmed Mohamed, Lizhe Li, Mandip Sigdel, and Vamsi Maddineni. Rapid Safety Assessment Tool for Non-Conventional Roadway Designs and Emerging Technologies: Innovative Artificial Intelligence Application. Report no. WY- 2405F. Wyoming. Department of Transportation, 2023. https://rosap.ntl.bts.gov/view/dot/75474.
Ahmed, Mohamed, et al. Rapid Safety Assessment Tool for Non-Conventional Roadway Designs and Emerging Technologies: Innovative Artificial Intelligence Application. Wyoming. Department of Transportation, 2023, Report no. WY- 2405F, ROSA P. https://rosap.ntl.bts.gov/view/dot/75474.
In the fast-paced and time-sensitive fields of construction and concrete production, real-time monitoring of concrete strength is crucial. Traditional testing methods, such as hydraulic compression (ASTM C 39) and maturity methods (ASTM C 1074), are often laborious and challenging to implement on-site. Building on prior research (SPR-4210 and SPR-4
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Kong, Z., & Lu, N. (. (2023). Field Implementation of Concrete Strength Sensor to Determine Optimal Traffic Opening Time (Report No. FHWA/IN/JTRP-2024/07). Purdue University. Joint Transportation Research Program. https://rosap.ntl.bts.gov/view/dot/75214
Kong, Zhihao and Na (Luna) Lu. Field Implementation of Concrete Strength Sensor to Determine Optimal Traffic Opening Time. Report no. FHWA/IN/JTRP-2024/07. Purdue University. Joint Transportation Research Program, 2023. https://rosap.ntl.bts.gov/view/dot/75214.
Kong, Zhihao, and Na (Luna) Lu Field Implementation of Concrete Strength Sensor to Determine Optimal Traffic Opening Time. Purdue University. Joint Transportation Research Program, 2023, Report no. FHWA/IN/JTRP-2024/07, ROSA P. https://rosap.ntl.bts.gov/view/dot/75214.
The objective of this project was to establish a new HMCL mix design method with an SGC and new performance tests, ensuring high-quality and long-lasting HMCL mixes.
Zhou, F., Chan, K. M., & Estakhri, C. (2023). Develop Design of Hot-Mix Cold-Laid Mixtures with the Superpave Gyratory Compactor [Project Summary] (Report No. 0-7153). Texas A&M Transportation Institute. https://rosap.ntl.bts.gov/view/dot/75718
Zhou, Fujie, Kin Ming Chan, and Cindy Estakhri. Develop Design of Hot-Mix Cold-Laid Mixtures with the Superpave Gyratory Compactor [Project Summary]. Report no. 0-7153. Texas A&M Transportation Institute, 2023. https://rosap.ntl.bts.gov/view/dot/75718.
Zhou, Fujie, et al. Develop Design of Hot-Mix Cold-Laid Mixtures with the Superpave Gyratory Compactor [Project Summary]. Texas A&M Transportation Institute, 2023, Report no. 0-7153, ROSA P. https://rosap.ntl.bts.gov/view/dot/75718.
This document serves as a comprehensive guide on how to use the SAM AV Module within the context of the 5-7081-01 implementation project. This module is a variation SAM-V4 model (Statewide Analysis Model) modified to include autonomous vehicles (AVs), shared autonomous vehicles (SAVs) and autonomous trucks (ATrucks). This project introduces autonom
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Kockelman, K., Vellimana, M., & Paithankar, P. (2023). User’s Guide for SAM AV Module: Guide for the Texas Statewide Analysis Model with Autonomous Vehicles, Shared-Autonomous Vehicles & Autonomous Trucks (Report No. 5-7081 P1). Texas. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/76659
Kockelman, Kara, Maithreyi Vellimana, and Priyanka Paithankar. User’s Guide for SAM AV Module: Guide for the Texas Statewide Analysis Model with Autonomous Vehicles, Shared-Autonomous Vehicles & Autonomous Trucks. Report no. 5-7081 P1. Texas. Department of Transportation, 2023. https://rosap.ntl.bts.gov/view/dot/76659.
Kockelman, Kara, et al. User’s Guide for SAM AV Module: Guide for the Texas Statewide Analysis Model with Autonomous Vehicles, Shared-Autonomous Vehicles & Autonomous Trucks. Texas. Department of Transportation, 2023, Report no. 5-7081 P1, ROSA P. https://rosap.ntl.bts.gov/view/dot/76659.
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