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.
This report is the response to the North Dakota Legislature's request for a study of the transportation infrastructure needs of all counties, townships and tribes in the state. In 2019, the North Dakota Legislature advanced HB 1066 which had a provision for funding distributions to non-oil producing counties based on the most recent version of this
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Upper Great Plains Transportation Institute, & North Dakota State University (2022). Infrastructure Needs: North Dakota’s County, Township, and Tribal Roads and Bridges: 2022-2041. Upper Great Plains Transportation Institute. https://rosap.ntl.bts.gov/view/dot/76764
Upper Great Plains Transportation Institute and North Dakota State University. Infrastructure Needs: North Dakota’s County, Township, and Tribal Roads and Bridges: 2022-2041. Upper Great Plains Transportation Institute, 2022. https://rosap.ntl.bts.gov/view/dot/76764.
Upper Great Plains Transportation Institute, et al. Infrastructure Needs: North Dakota’s County, Township, and Tribal Roads and Bridges: 2022-2041. Upper Great Plains Transportation Institute, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/76764.
United States. Department of Transportation. National Highway Traffic Safety Administration
2022-09-01
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This fact sheet contains information on fatal motor vehicle traffic crashes based on data from the Fatality Analysis Reporting System (FARS). Refer to the end of this publication for more information on FARS.
United States. Department of Transportation. National Highway Traffic Safety Administration (2022). Traffic Safety Facts 2020 Data: 2020 State Traffic Data (Report No. DOT HS 813 368). United States. Department of Transportation. National Highway Traffic Safety Administration. https://rosap.ntl.bts.gov/view/dot/80041
United States. Department of Transportation. National Highway Traffic Safety Administration. Traffic Safety Facts 2020 Data: 2020 State Traffic Data. Report no. DOT HS 813 368. United States. Department of Transportation. National Highway Traffic Safety Administration, 2022. https://rosap.ntl.bts.gov/view/dot/80041.
United States. Department of Transportation. National Highway Traffic Safety Administration Traffic Safety Facts 2020 Data: 2020 State Traffic Data. United States. Department of Transportation. National Highway Traffic Safety Administration, 2022, Report no. DOT HS 813 368, ROSA P. https://rosap.ntl.bts.gov/view/dot/80041.
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis
2022-09-01
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This is the updated and revised Non-Traffic Surveillance (NTS) Analytical User's Manual for the period 2016 to 2020.
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis (2022). Non-Traffic Surveillance Analytical User's Manual, 2016-2020 (Report No. DOT HS 813 316). United States. Department of Transportation. National Highway Traffic Safety Administration. https://rosap.ntl.bts.gov/view/dot/80040
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis. Non-Traffic Surveillance Analytical User's Manual, 2016-2020. Report no. DOT HS 813 316. United States. Department of Transportation. National Highway Traffic Safety Administration, 2022. https://rosap.ntl.bts.gov/view/dot/80040.
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis Non-Traffic Surveillance Analytical User's Manual, 2016-2020. United States. Department of Transportation. National Highway Traffic Safety Administration, 2022, Report no. DOT HS 813 316, ROSA P. https://rosap.ntl.bts.gov/view/dot/80040.
Riprap rock and aggregates are extensively used in structural, transportation, geotechnical, and hydraulic engineering applications. Field determination of morphological properties of aggregates such as size and shape can greatly facilitate the quality assurance/quality control (QA/QC) process for proper aggregate material selection and engineering
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Huang, H., Tutumluer, E., Luo, J., Ding, K., Qamhia, I., & Hart, J. M. (2022). 3D Image Analysis Using Deep Learning for Size and Shape Characterization of Stockpile Riprap Aggregates-Phase 2 (Report No. FHWA-ICT-22-013). Illinois. Department of Transportation. https://doi.org/10.36501/0197-9191/22-017
Huang, Haohang, Erol Tutumluer, Jiayi Luo, Kelin Ding, Issam Qamhia, and John M. Hart. 3D Image Analysis Using Deep Learning for Size and Shape Characterization of Stockpile Riprap Aggregates-Phase 2. Report no. FHWA-ICT-22-013. Illinois. Department of Transportation, 2022. https://doi.org/10.36501/0197-9191/22-017.
Huang, Haohang, et al. 3D Image Analysis Using Deep Learning for Size and Shape Characterization of Stockpile Riprap Aggregates-Phase 2. Illinois. Department of Transportation, 2022, Report no. FHWA-ICT-22-013, ROSA P. https://doi.org/10.36501/0197-9191/22-017.
This project’s two objectives were: 1) Exemplify state-of-the-art SP techniques and recommend the addition of SP experiments to existing surveys to enhance their use for long-term travel forecasts. 2) Provide proof of concept and applicable travel behavior results through the design, deployment, and analysis of an RP-SP survey that concentrated on
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Bhat, C., Asmussen, K., Dannemiller, K. A., Mondal, A., & Macias, L. (2022). Integration of Stated Preference and Revealed Preference Methods in Regional Travel Survey Programs [Project Summary] (Report No. 0-7054). University of Texas at Austin. Center for Transportation Research. https://rosap.ntl.bts.gov/view/dot/64677
Bhat, Chandra, Katherine Asmussen, Katherine A. Dannemiller, Aupal Mondal, and Lisa Macias. Integration of Stated Preference and Revealed Preference Methods in Regional Travel Survey Programs [Project Summary]. Report no. 0-7054. University of Texas at Austin. Center for Transportation Research, 2022. https://rosap.ntl.bts.gov/view/dot/64677.
Bhat, Chandra, et al. Integration of Stated Preference and Revealed Preference Methods in Regional Travel Survey Programs [Project Summary]. University of Texas at Austin. Center for Transportation Research, 2022, Report no. 0-7054, ROSA P. https://rosap.ntl.bts.gov/view/dot/64677.
Asphalt mixtures must ideally exhibit acceptable cracking and rutting properties to perform well in major concern. Improving the durability and long-term performance of asphalt mixtures has become a major concern, especially with the rapidly increasing use of recycled materials, warm mix asphalt additives and modified binders. Given that available
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Nazarian, S., Garcia, V., Vieira, D., Barros, L., & Abdallah, I. N. (2022). 0-6923: Develop Guidelines and Design Program for Hot Mix Asphalts Containing RAP, RAS and Other Additives through a Balanced Mix Design Process. Texas. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/81804
Nazarian, Soheil, Vince Garcia, Denis Vieira, Luiza Barros, and Imad N. Abdallah. 0-6923: Develop Guidelines and Design Program for Hot Mix Asphalts Containing RAP, RAS and Other Additives through a Balanced Mix Design Process. Texas. Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/81804.
Nazarian, Soheil, et al. 0-6923: Develop Guidelines and Design Program for Hot Mix Asphalts Containing RAP, RAS and Other Additives through a Balanced Mix Design Process. Texas. Department of Transportation, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/81804.
The Texas Connected Freight Corridors (TCFC) system is a connected vehicle (CV) environment that seeks to improve safety and mobility for the Texas Triangle, which consists of the Austin, Dallas/Fort Worth, Houston, San Antonio, and Laredo metropolitan regions, as seen in Figure 1.
Wood, N. (2022). Expand Applications for Texas Connected Freight Corridors {Summary]. Texas A&M Transportation Institute. https://rosap.ntl.bts.gov/view/dot/65826
Wood, Nick. Expand Applications for Texas Connected Freight Corridors {Summary]. Texas A&M Transportation Institute, 2022. https://rosap.ntl.bts.gov/view/dot/65826.
Wood, Nick Expand Applications for Texas Connected Freight Corridors {Summary]. Texas A&M Transportation Institute, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/65826.
Researchers simulated US transportation systems and forecasted the impacts of AVs and shared AVs (SAVs) on destination and mode choices of long-distance passenger and freight trips within the US, targeting a future 20+ years from now. They created demand sub-models for vehicle ownership, trip timing/scheduling and frequency, trip purpose and travel
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Kockelman, K., Fakhrmoosavi, F., Huang, Y., Paithankar, P., Perrine, K. A., Zuniga-Garcia, N., & Hawkins, J. (2022). Understanding the Impact of Autonomous Vehicles on Long-Distance Passenger and Freight Travel in Texas: Project Summary (Report No. 0-7081). University of Texas at Austin. Center for Transportation Research. https://rosap.ntl.bts.gov/view/dot/68790
Kockelman, Kara, Fatemeh Fakhrmoosavi, Yantao Huang, Priyanka Paithankar, Kenneth A. Perrine, Natalia Zuniga-Garcia, and Jason Hawkins. Understanding the Impact of Autonomous Vehicles on Long-Distance Passenger and Freight Travel in Texas: Project Summary. Report no. 0-7081. University of Texas at Austin. Center for Transportation Research, 2022. https://rosap.ntl.bts.gov/view/dot/68790.
Kockelman, Kara, et al. Understanding the Impact of Autonomous Vehicles on Long-Distance Passenger and Freight Travel in Texas: Project Summary. University of Texas at Austin. Center for Transportation Research, 2022, Report no. 0-7081, ROSA P. https://rosap.ntl.bts.gov/view/dot/68790.
Researchers investigated the effect of several influencing factors on the performance of precoated aggregates in seal coats based on a thorough literature review and a survey of TxDOT and other state DOT personnel. Researchers evaluated tests that measure the area of surface coating on precoated aggregate and determined that an image analysis techn
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Bhasin, A., Lopez, E., Rung, M., Adwani, D., Masad, A., & Hazlett, D. (2022). Developing Guidelines for Precoating of Aggregates Used in Seal Coats [Project Summary] (Report No. 0-7057). University of Texas at Austin. Center for Transportation Research. https://rosap.ntl.bts.gov/view/dot/64700
Bhasin, Amit, Erica Lopez, Mike Rung, Dheeraj Adwani, Ahman Masad, and Darren Hazlett. Developing Guidelines for Precoating of Aggregates Used in Seal Coats [Project Summary]. Report no. 0-7057. University of Texas at Austin. Center for Transportation Research, 2022. https://rosap.ntl.bts.gov/view/dot/64700.
Bhasin, Amit, et al. Developing Guidelines for Precoating of Aggregates Used in Seal Coats [Project Summary]. University of Texas at Austin. Center for Transportation Research, 2022, Report no. 0-7057, ROSA P. https://rosap.ntl.bts.gov/view/dot/64700.
To perform this project, the researchers followed five steps. In Step 1, the researchers collected information necessary for identifying best case examples of quality control of liquid and thermoplastic pavement marking material applications. They reviewed practices across the U.S. and other countries using various sources, such as government manua
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Qiao, F., Kazimi, S. A., Du, J., & Ekezie, E. (2022). 0–7135: Synthesis of Best Application and Verification Practices for Long-Life Pavement Markings [Project Summary] (Report No. 0-7135). Texas Southern University. https://rosap.ntl.bts.gov/view/dot/67307
Qiao, Fengxiang, Sayed Abuzar Kazimi, Jianbang Du, and Emmanuel Ekezie. 0–7135: Synthesis of Best Application and Verification Practices for Long-Life Pavement Markings [Project Summary]. Report no. 0-7135. Texas Southern University, 2022. https://rosap.ntl.bts.gov/view/dot/67307.
Qiao, Fengxiang, et al. 0–7135: Synthesis of Best Application and Verification Practices for Long-Life Pavement Markings [Project Summary]. Texas Southern University, 2022, Report no. 0-7135, ROSA P. https://rosap.ntl.bts.gov/view/dot/67307.
Asphalt concrete placement specifications have maximum allowable lift thicknesses to ensure adequate mixture compaction. When the design thickness exceeds this limit, placement must be phased in multiple lifts, creating other problems: - Increased construction time, traffic exposure, and traffic disruption; - Potentially worse performance from poor
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Wilson, B. (2022). Use of Tamper Bar Paver to Place Thick-Lift Asphalt Concrete Pavement [Summary]. Texas Department of Transportation. Research and Technology Implementation Office. https://rosap.ntl.bts.gov/view/dot/65820
Wilson, Bryan. Use of Tamper Bar Paver to Place Thick-Lift Asphalt Concrete Pavement [Summary]. Texas Department of Transportation. Research and Technology Implementation Office, 2022. https://rosap.ntl.bts.gov/view/dot/65820.
Wilson, Bryan Use of Tamper Bar Paver to Place Thick-Lift Asphalt Concrete Pavement [Summary]. Texas Department of Transportation. Research and Technology Implementation Office, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/65820.
The synthesis study focused on pavement preparatory work performed before preventive maintenance (PM) surfacing contracts with the goal of answering, “What work needs to be performed to the roadway before a new surface is placed?” Preparatory work performed by in-house maintenance forces or maintenance contracts may include crack sealing, fog seal,
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Goehl, D., Estakhri, C., & Gurganus, C. (2022). Synthesis for Best Practices for Preventive Maintenance Preparatory Work [Summary]. Texas A&M Transportation Institute. https://rosap.ntl.bts.gov/view/dot/65839
Goehl, Darlene, Cindy Estakhri, and Charles Gurganus. Synthesis for Best Practices for Preventive Maintenance Preparatory Work [Summary]. Texas A&M Transportation Institute, 2022. https://rosap.ntl.bts.gov/view/dot/65839.
Goehl, Darlene, et al. Synthesis for Best Practices for Preventive Maintenance Preparatory Work [Summary]. Texas A&M Transportation Institute, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/65839.
Researchers analyzed all the traffic data collected by both permanent and portable weigh-in-motion stations around Texas and developed default load spectrum inputs for interstate highways, state highways, FM roads, and energy development areas. The researchers then presented the six-step pavement rehabilitation and design strategy and applied it to
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Zhou, F., & Scullion, T. (2022). Pavement Rehabilitation and Design Strategy for Heavy Loads in the Energy Development Areas [Project Summary Report] (Report No. 5-6839-01). Texas A&M Transportation Institute. https://rosap.ntl.bts.gov/view/dot/80636
Zhou, Fujie and Tom Scullion. Pavement Rehabilitation and Design Strategy for Heavy Loads in the Energy Development Areas [Project Summary Report]. Report no. 5-6839-01. Texas A&M Transportation Institute, 2022. https://rosap.ntl.bts.gov/view/dot/80636.
Zhou, Fujie, and Tom Scullion Pavement Rehabilitation and Design Strategy for Heavy Loads in the Energy Development Areas [Project Summary Report]. Texas A&M Transportation Institute, 2022, Report no. 5-6839-01, ROSA P. https://rosap.ntl.bts.gov/view/dot/80636.
The Highway Safety Manual (HSM) contains safety performance functions (SPFs) that are used in project-level decision-making to estimate the average crash frequency by severity level for existing conditions, alternatives to existing conditions, or proposed new roadways. Because most existing HSM SPFs were developed for states other than Texas, SPF c
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Geedipally, S. R. (2022). Calibrating the Highway Safety Manual Predictive Methods for Texas Highways [Summary]. Texas A&M Transportation Institute. https://rosap.ntl.bts.gov/view/dot/65823
Geedipally, Srinivas R.. Calibrating the Highway Safety Manual Predictive Methods for Texas Highways [Summary]. Texas A&M Transportation Institute, 2022. https://rosap.ntl.bts.gov/view/dot/65823.
Geedipally, Srinivas R. Calibrating the Highway Safety Manual Predictive Methods for Texas Highways [Summary]. Texas A&M Transportation Institute, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/65823.
In this project, researchers undertook a comprehensive literature review on the state-of-the-art and state-of-the-practice of manual and automated pedestrian data collection techniques. They assessed different automated data collection methods, including well-established and emerging AI- and sensor-based technologies, to evaluate their appropriaten
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Perrine, K. A., Haddad, A., Bhat, C. R., & Macias, L. (2022). Synthesis of Automated Pedestrian Data Collecting Techniques and Applications in Transportation Planning, Design, and Management [Project Summary] (Report No. 0-7126). University of Texas at Austin. Center for Transportation Research. https://rosap.ntl.bts.gov/view/dot/64693
Perrine, Kenneth A., Angela Haddad, Chandra R. Bhat, and Lisa Macias. Synthesis of Automated Pedestrian Data Collecting Techniques and Applications in Transportation Planning, Design, and Management [Project Summary]. Report no. 0-7126. University of Texas at Austin. Center for Transportation Research, 2022. https://rosap.ntl.bts.gov/view/dot/64693.
Perrine, Kenneth A., et al. Synthesis of Automated Pedestrian Data Collecting Techniques and Applications in Transportation Planning, Design, and Management [Project Summary]. University of Texas at Austin. Center for Transportation Research, 2022, Report no. 0-7126, ROSA P. https://rosap.ntl.bts.gov/view/dot/64693.
The purpose of this project was to use mobile light detecting and ranging (LiDAR) measurements to measure surface geometry to map drainage basins on the pavement surface. Mobile LiDAR was used to collect measurements at highway speeds. Using mobile LiDAR technology fostered safety during data collection and provided a dense dataset over the roadway
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Gurganus, C., Devadas, A., & Messhenas, S. (2022). Determine Drainage Basin Mapping and Estimation of Hydroplaning Potential [Project Summary] (Report No. 0-7098). Texas A&M Transportation Institute. https://rosap.ntl.bts.gov/view/dot/72340
Gurganus, Charles, Arvind Devadas, and Saber Messhenas. Determine Drainage Basin Mapping and Estimation of Hydroplaning Potential [Project Summary]. Report no. 0-7098. Texas A&M Transportation Institute, 2022. https://rosap.ntl.bts.gov/view/dot/72340.
Gurganus, Charles, et al. Determine Drainage Basin Mapping and Estimation of Hydroplaning Potential [Project Summary]. Texas A&M Transportation Institute, 2022, Report no. 0-7098, ROSA P. https://rosap.ntl.bts.gov/view/dot/72340.
The scope of this project was to develop draft specifications of an ATSPM system for statewide deployment. These draft specifications will be used to develop formal specifications for the Texas Department of Transportation (TxDOT) to procure and deploy an ATSPM system. This project also aimed to develop guidelines for local agencies about making de
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Sunkari, S. R., & Chaudhary, N. (2022). Implementation of Automatic Traffic Signals Performance Measures: Summary Report (Report No. 0-7009). Texas A&M Transportation Institute. https://rosap.ntl.bts.gov/view/dot/73191
Sunkari, Srinivasa R and Nadeem Chaudhary. Implementation of Automatic Traffic Signals Performance Measures: Summary Report. Report no. 0-7009. Texas A&M Transportation Institute, 2022. https://rosap.ntl.bts.gov/view/dot/73191.
Sunkari, Srinivasa R, and Nadeem Chaudhary Implementation of Automatic Traffic Signals Performance Measures: Summary Report. Texas A&M Transportation Institute, 2022, Report no. 0-7009, ROSA P. https://rosap.ntl.bts.gov/view/dot/73191.
This project investigated and synthesized best practices for the development and execution of 4-year pavement management plans (PMPs) within the Texas Department of Transportation. Successful 4-year PMPs help provide the traveling public with a safe, comfortable, and reliable roadway network.
Gurganus, C., Goehl, D., & Estakhri, C. (2022). Synthesis for Best Practices for Developing 4-Year Pavement Management Plans [Summary]. Texas A&M Transportation Institute. https://rosap.ntl.bts.gov/view/dot/65837
Gurganus, Charles, Darlene Goehl, and Cindy Estakhri. Synthesis for Best Practices for Developing 4-Year Pavement Management Plans [Summary]. Texas A&M Transportation Institute, 2022. https://rosap.ntl.bts.gov/view/dot/65837.
Gurganus, Charles, et al. Synthesis for Best Practices for Developing 4-Year Pavement Management Plans [Summary]. Texas A&M Transportation Institute, 2022, ROSA P. https://rosap.ntl.bts.gov/view/dot/65837.
Researchers analyzed the structural responses of CRCP using three-dimensional finite element modeling (3D-FEM) in Ansys at the depth of the longitudinal steel at transverse crack areas with various steel designs which, if excessive, could cause horizontal cracks. The output was used in selecting the steel designs that will be employed at the experi
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Won, M., & Bae, S. W. (2022). Optimizing Reinforcing Steel in 12-inch and 13-inch Continuously Reinforced Concrete Pavement (CRCP) [Project Summary] (Report No. 0-7026). Texas Tech University. Center for Multidisciplinary Research in Transportation. https://rosap.ntl.bts.gov/view/dot/68614
Won, Moon and Sang Wook Bae. Optimizing Reinforcing Steel in 12-inch and 13-inch Continuously Reinforced Concrete Pavement (CRCP) [Project Summary]. Report no. 0-7026. Texas Tech University. Center for Multidisciplinary Research in Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/68614.
Won, Moon, and Sang Wook Bae Optimizing Reinforcing Steel in 12-inch and 13-inch Continuously Reinforced Concrete Pavement (CRCP) [Project Summary]. Texas Tech University. Center for Multidisciplinary Research in Transportation, 2022, Report no. 0-7026, ROSA P. https://rosap.ntl.bts.gov/view/dot/68614.
In Pennsylvania DOT District 6 expanding watershed development is increasing demands on roadways and worsening flooding. This research addresses the fundamental question: “How can flood mitigation improve the safety and sustainability of a road network?” While many studies have sought to understand the impacts of hydrologic events on driving condit
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Starkey, R., Smith, V., Park, S., Fok, K., Clayton, G., & Tammin, E. (2022). Flood Mitigation Solutions (Report No. FHWA-PA-2022-005-VU WO 003). Pennsylvania. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/68851
Starkey, Richard, Virginia Smith, Seri Park, Kyle Fok, Garrett Clayton, and Erin Tammin. Flood Mitigation Solutions. Report no. FHWA-PA-2022-005-VU WO 003. Pennsylvania. Department of Transportation, 2022. https://rosap.ntl.bts.gov/view/dot/68851.
Starkey, Richard, et al. Flood Mitigation Solutions. Pennsylvania. Department of Transportation, 2022, Report no. FHWA-PA-2022-005-VU WO 003, ROSA P. https://rosap.ntl.bts.gov/view/dot/68851.
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