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.
The American Association of State Highway and Transportation Officials (AASHTO) Joint Task Force on Pavements – in cooperation with the National Cooperative Highway Research Program (NCHRP) and the Federal Highway Association (FHWA) – sponsored the development of an AASHTO Mechanistic-Empirical (ME) pavement design procedure. NCHRP project 1-37A pr
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Kim, S. S., Worthey, H., Brink, W., Von Quintus, H. L., Durham, S. A., & Chorzepa, M. G. (2020). Development of Innovative & Effective Training Modules and Methods for Pavement Designers for Rapid Deployment and Continuous Operation of MDPDG (Report No. FHWA-GA-20-1718). Georgia. Department of Transportation. Office of Performance-Based Management & Research. https://rosap.ntl.bts.gov/view/dot/54538
Kim, S. Sonny, Hampton Worthey, Wouter Brink, Harold L. Von Quintus, Stephan A. Durham, and Mi G Chorzepa. Development of Innovative & Effective Training Modules and Methods for Pavement Designers for Rapid Deployment and Continuous Operation of MDPDG. Report no. FHWA-GA-20-1718. Georgia. Department of Transportation. Office of Performance-Based Management & Research, 2020. https://rosap.ntl.bts.gov/view/dot/54538.
Kim, S. Sonny, et al. Development of Innovative & Effective Training Modules and Methods for Pavement Designers for Rapid Deployment and Continuous Operation of MDPDG. Georgia. Department of Transportation. Office of Performance-Based Management & Research, 2020, Report no. FHWA-GA-20-1718, ROSA P. https://rosap.ntl.bts.gov/view/dot/54538.
Flooding poses safety hazards to motorists, emergency and maintenance crews and may cause costly damage to transportation infrastructure and its operation. Flash flooding, in particular, causes the most flood-related deaths According to the National Oceanic Atmospheric Administration (NOAA), in 2017 alone, flash flooding also caused $60.7 billion w
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Ham, S., Noh, S., Seo, D. J., Kang, S., & David, D. S. K. (2020). Real-Time Work Zone Traffic Management via Unmanned Air Vehicles (Report No. 19ITSOSU01). Transportation Consortium of South-Central States. https://doi.org/10.5281/zenodo.4270659
Ham, Suyun, Seongjin Noh, Dong-Jun Seo, Sanggoo Kang, and Dafnik Saril Kumar David. Real-Time Work Zone Traffic Management via Unmanned Air Vehicles. Report no. 19ITSOSU01. Transportation Consortium of South-Central States, 2020. https://doi.org/10.5281/zenodo.4270659.
Ham, Suyun, et al. Real-Time Work Zone Traffic Management via Unmanned Air Vehicles. Transportation Consortium of South-Central States, 2020, Report no. 19ITSOSU01, ROSA P. https://doi.org/10.5281/zenodo.4270659.
This research evaluates opportunities for retrofitting residential streets with alternative designs with the overall goal of improving their function, reducing their negative impacts and reducing maintenance costs. This is accomplished through three main research tasks. First, the authors conduct a comprehensive review of the street design literatu
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Rowangould, G., & Ferenchak, N. (2020). ABQ Streets Project: Creating Alternative Residential Street Designs (Report No. 19PPUNM01). Transportation Consortium of South-Central States. https://doi.org/10.5281/zenodo.4270651
Rowangould, Gregory and Nick Ferenchak. ABQ Streets Project: Creating Alternative Residential Street Designs. Report no. 19PPUNM01. Transportation Consortium of South-Central States, 2020. https://doi.org/10.5281/zenodo.4270651.
Rowangould, Gregory, and Nick Ferenchak ABQ Streets Project: Creating Alternative Residential Street Designs. Transportation Consortium of South-Central States, 2020, Report no. 19PPUNM01, ROSA P. https://doi.org/10.5281/zenodo.4270651.
Snowplow trucks operate in extreme conditions that take a toll on engines, wiring, controls, sensors, connectors, augers, conveyors, spinners and other parts exposed to extreme cold, wetness and corrosive materials. Consequently, winter road maintenance equipment may break down on the road. Road maintenance agencies have a range of protocols for de
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CTC & Associates LLC (2020). Mechanic/Operator Training and Training Needs for Winter Maintenance Equipment: Synthesis Report (Report No. CR 18-S1). Minnesota. Department of Transportation. Clear Roads Pooled Fund. https://rosap.ntl.bts.gov/view/dot/54934
CTC & Associates LLC. Mechanic/Operator Training and Training Needs for Winter Maintenance Equipment: Synthesis Report. Report no. CR 18-S1. Minnesota. Department of Transportation. Clear Roads Pooled Fund, 2020. https://rosap.ntl.bts.gov/view/dot/54934.
CTC & Associates LLC Mechanic/Operator Training and Training Needs for Winter Maintenance Equipment: Synthesis Report. Minnesota. Department of Transportation. Clear Roads Pooled Fund, 2020, Report no. CR 18-S1, ROSA P. https://rosap.ntl.bts.gov/view/dot/54934.
The overall goal of this project was to explore the use of continuous pedestrian traffic signal data from the Automated Traffic Signal Performance Measures (ATSPM) system to estimate pedestrian volumes at signalized intersections. Our objectives were to identify patterns of pedestrian activity at signalized intersections, develop methods to estimat
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Singleton, P. A., Runa, F., & Humagain, P. (2020). Utilizing Archived Traffic Signal Performance Measures for Pedestrian Planning and Analysis (Report No. UT-20.17). Utah. Dept. of Transportation. Research Division. https://rosap.ntl.bts.gov/view/dot/54924
Singleton, Patrick A., Ferdousy Runa, and Prasanna Humagain. Utilizing Archived Traffic Signal Performance Measures for Pedestrian Planning and Analysis. Report no. UT-20.17. Utah. Dept. of Transportation. Research Division, 2020. https://rosap.ntl.bts.gov/view/dot/54924.
Singleton, Patrick A., et al. Utilizing Archived Traffic Signal Performance Measures for Pedestrian Planning and Analysis. Utah. Dept. of Transportation. Research Division, 2020, Report no. UT-20.17, ROSA P. https://rosap.ntl.bts.gov/view/dot/54924.
The report covers the work performed under NDOT’s research contract #607-17-803, which involved the development of a quality of signal timing performance measure methodology for arterial operations. Evaluating the benefits of traffic signal re-timing is of an increasing interest to transportation policymakers, operators, and the public, as integrat
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Tian, Z., Wang, A., & Xu, H. (2020). Developing a Quality of Signal Timing Performance Measure Methodology for Arterial Operations (Report No. 607-17-803). Nevada. Dept. of Transportation. https://rosap.ntl.bts.gov/view/dot/64312
Tian, Zong, Aobo Wang, and Hao Xu. Developing a Quality of Signal Timing Performance Measure Methodology for Arterial Operations. Report no. 607-17-803. Nevada. Dept. of Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/64312.
Tian, Zong, et al. Developing a Quality of Signal Timing Performance Measure Methodology for Arterial Operations. Nevada. Dept. of Transportation, 2020, Report no. 607-17-803, ROSA P. https://rosap.ntl.bts.gov/view/dot/64312.
For-hire vehicle trips in the five boroughs of New York City from 2014 to 2017 increased by 82 million annually (46%). This report uses factor analysis and cluster analysis to create a typology that is then used to quantify how usage patterns have evolved in different types of neighborhood. Having surged 40-fold, ridesourcing trips originating in t
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Garrick, N., & Atkinson-Palombo, C. (2020). Understanding the Surprising and Oversized Use of Ridesourcing Services in Poor Neighborhoods in NYC (Report No. 2019 Project 11;CAMMSE-UNCC-2019-UTC-Project-11). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education. https://rosap.ntl.bts.gov/view/dot/57037
Garrick, Norman and Carol Atkinson-Palombo. Understanding the Surprising and Oversized Use of Ridesourcing Services in Poor Neighborhoods in NYC. Report no. 2019 Project 11;CAMMSE-UNCC-2019-UTC-Project-11. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020. https://rosap.ntl.bts.gov/view/dot/57037.
Garrick, Norman, and Carol Atkinson-Palombo Understanding the Surprising and Oversized Use of Ridesourcing Services in Poor Neighborhoods in NYC. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020, Report no. 2019 Project 11;CAMMSE-UNCC-2019-UTC-Project-11, ROSA P. https://rosap.ntl.bts.gov/view/dot/57037.
Pavement temperature has a significant effect on the deflection measured using the falling weight deflectometer (FWD) or traffic speed deflectometer (TSD). Pavement temperature is used to adjust the backcalculated asphalt concrete moduli or deflection at a reference temperature. The current practice is to drill holes at the mid-depth of the top asp
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Kassem, E., Bayomy, F. M. S., Williams, C., Saasita, E., Lamichane, S., & Permadi, D. D. (2020). Development of Pavement Temperature Prediction Model (Report No. FHWA-ID-20-279). Idaho Transportation Department. https://rosap.ntl.bts.gov/view/dot/56871
Kassem, Emad, Fouad M. S. Bayomy, Christopher Williams, Eric Saasita, Simpson Lamichane, and Dio D Permadi. Development of Pavement Temperature Prediction Model. Report no. FHWA-ID-20-279. Idaho Transportation Department, 2020. https://rosap.ntl.bts.gov/view/dot/56871.
Kassem, Emad, et al. Development of Pavement Temperature Prediction Model. Idaho Transportation Department, 2020, Report no. FHWA-ID-20-279, ROSA P. https://rosap.ntl.bts.gov/view/dot/56871.
Flooding poses safety hazards to motorists, emergency and maintenance crews and may cause costly damage to transportation infrastructure and its operation. Flash flooding, in particular, causes the most flood-related deaths According to the National Oceanic Atmospheric Administration (NOAA), in 2017 alone, flash flooding also caused $60.7 billion w
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Ham, S., Noh, S., Seo, D. J., Kang, S., & David, D. S. K. (2020). Real-Time Early Detection and Monitoring of Flooding Using Low-Cost Highly Sensitivity Ultrasound Sensing of Water Level (Report No. 19SAUTA03). Transportation Consortium of South-Central States. https://rosap.ntl.bts.gov/view/dot/58927
Ham, Suyun, Seongjin Noh, Dong-Jun Seo, Sanggoo Kang, and Dafnik Saril Kumar David. Real-Time Early Detection and Monitoring of Flooding Using Low-Cost Highly Sensitivity Ultrasound Sensing of Water Level. Report no. 19SAUTA03. Transportation Consortium of South-Central States, 2020. https://rosap.ntl.bts.gov/view/dot/58927.
Ham, Suyun, et al. Real-Time Early Detection and Monitoring of Flooding Using Low-Cost Highly Sensitivity Ultrasound Sensing of Water Level. Transportation Consortium of South-Central States, 2020, Report no. 19SAUTA03, ROSA P. https://rosap.ntl.bts.gov/view/dot/58927.
Predicting pedestrian trajectories is of major importance for several applications including autonomous driving and surveillance systems. In autonomous driving, an accurate prediction of pedestrians trajectories enables the controller to plan ahead the motion of the vehicle in an adversarial environment. For example, it is a critical component for
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Mohamed, A., Qian, K., & Claudel, C. (2020). Deep-Learning Based Trajectory Forecast for Safety of Intersections with Multimodal Traffic (Phase II) (Report No. 2019 Project 08;CAMMSE-UNCC-2019-UTC-Project-08). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education. https://rosap.ntl.bts.gov/view/dot/57039
Mohamed, Abduallah, Kun Qian, and Christian Claudel. Deep-Learning Based Trajectory Forecast for Safety of Intersections with Multimodal Traffic (Phase II). Report no. 2019 Project 08;CAMMSE-UNCC-2019-UTC-Project-08. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020. https://rosap.ntl.bts.gov/view/dot/57039.
Mohamed, Abduallah, et al. Deep-Learning Based Trajectory Forecast for Safety of Intersections with Multimodal Traffic (Phase II). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020, Report no. 2019 Project 08;CAMMSE-UNCC-2019-UTC-Project-08, ROSA P. https://rosap.ntl.bts.gov/view/dot/57039.
Each Department of Transportation (DOT) in the United States has to govern and oversee an enormous number of transportation construction and maintenance projects. However, since a transportation construction project entails several miles of a job site including numerous work tasks and equipment operations, it has been increasingly challenging for e
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Lee, Y. C., & Choi, J. W. (2020). Development, Education, and Implementation of a Low-Cost Audio Sensor-based Autonomous Surveillance System for Smart and Connected Transportation Infrastructure Construction and Maintenance (Report No. 19PPLSU12). Transportation Consortium of South-Central States. https://rosap.ntl.bts.gov/view/dot/58712
Lee, Yong-Cheol and Jin-Woo Choi. Development, Education, and Implementation of a Low-Cost Audio Sensor-based Autonomous Surveillance System for Smart and Connected Transportation Infrastructure Construction and Maintenance. Report no. 19PPLSU12. Transportation Consortium of South-Central States, 2020. https://rosap.ntl.bts.gov/view/dot/58712.
Lee, Yong-Cheol, and Jin-Woo Choi Development, Education, and Implementation of a Low-Cost Audio Sensor-based Autonomous Surveillance System for Smart and Connected Transportation Infrastructure Construction and Maintenance. Transportation Consortium of South-Central States, 2020, Report no. 19PPLSU12, ROSA P. https://rosap.ntl.bts.gov/view/dot/58712.
Shared autonomous vehicle (SAV) systems, in which autonomous vehicles (AVs) are owned by transportation network companies that offer Mobility as a Service (MaaS) to customers, are gaining considerable research attention. SAVs have the potential to reduce vehicle ownership and parking requirements, improve traffic conditions, and minimize empty-vehi
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Brewer, M. A., & Stibbe, J. (2020). Comparison of SHRP 2 Naturalistic Driving Data to Geometric Design Speed Characteristics on Freeway Ramps (Report No. TTI-01-03). University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP). https://rosap.ntl.bts.gov/view/dot/55681
Brewer, Marcus A. and Jayson Stibbe. Comparison of SHRP 2 Naturalistic Driving Data to Geometric Design Speed Characteristics on Freeway Ramps. Report no. TTI-01-03. University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP), 2020. https://rosap.ntl.bts.gov/view/dot/55681.
Brewer, Marcus A., and Jayson Stibbe Comparison of SHRP 2 Naturalistic Driving Data to Geometric Design Speed Characteristics on Freeway Ramps. University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP), 2020, Report no. TTI-01-03, ROSA P. https://rosap.ntl.bts.gov/view/dot/55681.
This project combined the statewide crash data (SWIRTS) and traffic data (PeMS) to develop statistical models to determine the safety impacts of alternative speed limits on California highways. The models examined whether various factors about crashes, including average traffic speed and truck-involvement, correlated with outcomes such as crash sev
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Musabbir, S. R., & Zhang, M. (2020). Assessing the Safety Implication of Alternative Speed Limits in California (Report No. UC-ITS-2019-11). University of California, Davis. Institute of Transportation Studies. https://rosap.ntl.bts.gov/view/dot/67219
Musabbir, Sarder Rafee and Michael Zhang. Assessing the Safety Implication of Alternative Speed Limits in California. Report no. UC-ITS-2019-11. University of California, Davis. Institute of Transportation Studies, 2020. https://rosap.ntl.bts.gov/view/dot/67219.
Musabbir, Sarder Rafee, and Michael Zhang Assessing the Safety Implication of Alternative Speed Limits in California. University of California, Davis. Institute of Transportation Studies, 2020, Report no. UC-ITS-2019-11, ROSA P. https://rosap.ntl.bts.gov/view/dot/67219.
This project aims to develop a systematic way to design smart highway systems with networked video monitoring and control resiliency against environment disruptions and sensor failures. On the video monitoring side, the authors investigate (1) efficient deep learning methods for extracting fine-grained local categorical traffic information from ind
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Jin, L., Feng, C., Xie, Q., & Xu, X. (2020). Design of Resilient Smart Highway Systems with Data-Driven Monitoring from Networked Cameras. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART). https://rosap.ntl.bts.gov/view/dot/58514
Jin, Li, Chen Feng, Qian Xie, and Xuchu Xu. Design of Resilient Smart Highway Systems with Data-Driven Monitoring from Networked Cameras. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART), 2020. https://rosap.ntl.bts.gov/view/dot/58514.
Jin, Li, et al. Design of Resilient Smart Highway Systems with Data-Driven Monitoring from Networked Cameras. Connected Cities for Smart Mobility toward Accessible and Resilient Transportation Center (C2SMART), 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/58514.
This article develops a deep reinforcement learning (Deep-RL) framework for dynamic pricing on managed lanes with multiple access locations and heterogeneity in travelers’ value of time, origin, and destination. This framework relaxes assumptions in the literature by considering multiple origins and destinations, multiple access locations to the ma
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Pandey, V., Wang, E., & Boyles, S. D. (2020). Deep Reinforcement Learning Algorithm for Dynamic Pricing of Express Lanes With Multiple Access Locations (Report No. D-STOP/2020/153). University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP). https://rosap.ntl.bts.gov/view/dot/56053
Pandey, Venktesh, Evana Wang, and Stephen D. Boyles. Deep Reinforcement Learning Algorithm for Dynamic Pricing of Express Lanes With Multiple Access Locations. Report no. D-STOP/2020/153. University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP), 2020. https://rosap.ntl.bts.gov/view/dot/56053.
Pandey, Venktesh, et al. Deep Reinforcement Learning Algorithm for Dynamic Pricing of Express Lanes With Multiple Access Locations. University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP), 2020, Report no. D-STOP/2020/153, ROSA P. https://rosap.ntl.bts.gov/view/dot/56053.
Deployment of automated ground vehicles beyond the confines of sunny and dry climes will require sub-lane level positioning techniques based on radio waves rather than near-visible-light radiation. Like human sight, lidar and cameras perform poorly in low-visibility conditions. This paper develops and demonstrates a novel technique for robust sub-5
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Narula, L., Iannucci, P. A., & Humphreys, T. E. (2020). All-Weather Sub-50-cm Radar-Inertial Positioning (Report No. D-STOP/2020/154). University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP). https://rosap.ntl.bts.gov/view/dot/55864
Narula, Lakshay, Peter A. Iannucci, and Todd E. Humphreys. All-Weather Sub-50-cm Radar-Inertial Positioning. Report no. D-STOP/2020/154. University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP), 2020. https://rosap.ntl.bts.gov/view/dot/55864.
Narula, Lakshay, et al. All-Weather Sub-50-cm Radar-Inertial Positioning. University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP), 2020, Report no. D-STOP/2020/154, ROSA P. https://rosap.ntl.bts.gov/view/dot/55864.
The durability of infrastructure components, such as prestressed concrete bridge beams, can be significantly affected by long-term deterioration associated with corrosion. Corrosion is a major concern for bridges in Virginia, due to the frequent use of deicing salts during the winter, as well as the number of structures in marine environments. The
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Alfailakawi, A., Roberts-Wollmann, C. L., Hebdon, M., & Koutromanos, I. (2020). Experimental and Analytical Evaluation of Residual Capacity of Corrosion-Damaged Prestressed Concrete Bridge Girders (Report No. FHWA/VTRC 21-R6). Virginia. Dept. of Transportation. https://rosap.ntl.bts.gov/view/dot/53953
Alfailakawi, Ali, C. L. Roberts-Wollmann, Matthew Hebdon, and Ioannis Koutromanos. Experimental and Analytical Evaluation of Residual Capacity of Corrosion-Damaged Prestressed Concrete Bridge Girders. Report no. FHWA/VTRC 21-R6. Virginia. Dept. of Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/53953.
Alfailakawi, Ali, et al. Experimental and Analytical Evaluation of Residual Capacity of Corrosion-Damaged Prestressed Concrete Bridge Girders. Virginia. Dept. of Transportation, 2020, Report no. FHWA/VTRC 21-R6, ROSA P. https://rosap.ntl.bts.gov/view/dot/53953.
This study proposes a new quality control and compliance method for concrete mixture design using standard surface resistivity testing. This method helps in determining key mixture parameters such as fly ash content and w/cm of placed concrete. Based on the gain in resistivity over time, it was found that the slope of the surface resistivity versus
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Hartell, J. A. (2020). The Use of Resistivity Testing for Quality Control of Concrete Mixtures (Report No. FHWA-OK-20-03). Oklahoma. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/57406
Hartell, Julie Ann. The Use of Resistivity Testing for Quality Control of Concrete Mixtures. Report no. FHWA-OK-20-03. Oklahoma. Department of Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/57406.
Hartell, Julie Ann The Use of Resistivity Testing for Quality Control of Concrete Mixtures. Oklahoma. Department of Transportation, 2020, Report no. FHWA-OK-20-03, ROSA P. https://rosap.ntl.bts.gov/view/dot/57406.
The Strategic Highway Research Program 2 (SHRP2) identified composite pavement as a “renewal solution” to support for implementation, and the Virginia Department of Transportation (VDOT) received funding to demonstrate its potential. In 2017, this funding was applied to support major rehabilitation of two westbound lanes of US 60 in Henrico County,
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Hossain, M. S., Nair, H., Ozyildirim, H. C., & Moruza, A. K. (2020). Assessment of Composite Pavement in Virginia: A Trial Section on US 60 (Report No. FHWA/VTRC 21-R3). Virginia Transportation Research Council (VTRC). https://rosap.ntl.bts.gov/view/dot/54684
Hossain, M. Shabbir, Harikrishnan Nair, H. Celik Ozyildirim, and Audrey K Moruza. Assessment of Composite Pavement in Virginia: A Trial Section on US 60. Report no. FHWA/VTRC 21-R3. Virginia Transportation Research Council (VTRC), 2020. https://rosap.ntl.bts.gov/view/dot/54684.
Hossain, M. Shabbir, et al. Assessment of Composite Pavement in Virginia: A Trial Section on US 60. Virginia Transportation Research Council (VTRC), 2020, Report no. FHWA/VTRC 21-R3, ROSA P. https://rosap.ntl.bts.gov/view/dot/54684.
This research focuses on the Crash Analysis Methodology for Segments (CAMS) which provides a way for engineers at the Utah Department of Transportation (UDOT) to prioritize safety improvements on state-owned roadways. Unlike the Utah crash analysis methodologies that come before it, the CAMS focuses exclusively on segment-related crashes. The benef
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Schultz, G. G., Lunt, C. C., Pew, T., Warr, R. L., & Heaton, M. J. (2020). Segment and Intersection Crash Analysis Methodologies for Utah Highways (Report No. UT- 20.04). Utah. Dept. of Transportation. Division of Research. https://rosap.ntl.bts.gov/view/dot/54883
Schultz, Grant G., Camille C Lunt, Timo Pew, Richard L Warr, and Matthew J Heaton. Segment and Intersection Crash Analysis Methodologies for Utah Highways. Report no. UT- 20.04. Utah. Dept. of Transportation. Division of Research, 2020. https://rosap.ntl.bts.gov/view/dot/54883.
Schultz, Grant G., et al. Segment and Intersection Crash Analysis Methodologies for Utah Highways. Utah. Dept. of Transportation. Division of Research, 2020, Report no. UT- 20.04, ROSA P. https://rosap.ntl.bts.gov/view/dot/54883.
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