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.
Smart City technological applications have been employed in several cities worldwide to help improve functionality of transportation infrastructure. The information collected through the distribution of sensors inform applications that optimize city life. The Steering Committee for this project, led by the Buffalo Niagara Medical Campus (BNMC), env
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Hamann-Burney, J., & Frank, F. A. (2020). Buffalo Main Street: Smart Corridor Plan (Report No. NYSERDA Report 20-24). Buffalo Niagara Medical Campus, Incorporated. https://rosap.ntl.bts.gov/view/dot/57021
Hamann-Burney, Jamie and Frederick A. Frank. Buffalo Main Street: Smart Corridor Plan. Report no. NYSERDA Report 20-24. Buffalo Niagara Medical Campus, Incorporated, 2020. https://rosap.ntl.bts.gov/view/dot/57021.
Hamann-Burney, Jamie, and Frederick A. Frank Buffalo Main Street: Smart Corridor Plan. Buffalo Niagara Medical Campus, Incorporated, 2020, Report no. NYSERDA Report 20-24, ROSA P. https://rosap.ntl.bts.gov/view/dot/57021.
The services provided by public transportation systems increase the mobility and accessibility options of a community. In addition, transit improvements are one of the transportation demand strategies for enhancing community livability, as they offer affordable transportation alternatives and help reduce traffic congestion. They can provide access
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Cevallos, F. (2020). Using Microtransit Electric Low Speed Vehicles as a Means for Improving Quality of Life in Miami-Dade County (Report No. CUTR-2020-25). National Center for Transit Research (U.S.). https://doi.org/10.5038/CUTR-NCTR-RR-2020-25
Cevallos, Fabian. Using Microtransit Electric Low Speed Vehicles as a Means for Improving Quality of Life in Miami-Dade County. Report no. CUTR-2020-25. National Center for Transit Research (U.S.), 2020. https://doi.org/10.5038/CUTR-NCTR-RR-2020-25.
Cevallos, Fabian Using Microtransit Electric Low Speed Vehicles as a Means for Improving Quality of Life in Miami-Dade County. National Center for Transit Research (U.S.), 2020, Report no. CUTR-2020-25, ROSA P. https://doi.org/10.5038/CUTR-NCTR-RR-2020-25.
This paper develops an analytic system to investigate the effects of AV availability on multiple dimensions of activity-travel behavior at once, based on a direct survey-based modeling approach. The model uses individual socio-demographics, built environment variables, as well as psycho-social variables (in the form of latent psychological construc
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Dannemiller, K. A., Mondal, A., Asmussen, K. E., & Bhat, C. R. (2020). Investigating Autonomous Vehicle Impacts on Individual Activity-Travel Behavior (Report No. D-STOP/2020/156). University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP). https://rosap.ntl.bts.gov/view/dot/55863
Dannemiller, Katherine A., Aupal Mondal, Katherine E. Asmussen, and Chandra R. Bhat. Investigating Autonomous Vehicle Impacts on Individual Activity-Travel Behavior. Report no. D-STOP/2020/156. University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP), 2020. https://rosap.ntl.bts.gov/view/dot/55863.
Dannemiller, Katherine A., et al. Investigating Autonomous Vehicle Impacts on Individual Activity-Travel Behavior. University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP), 2020, Report no. D-STOP/2020/156, ROSA P. https://rosap.ntl.bts.gov/view/dot/55863.
Reservation-based traffic control is a revolutionary intersection management system which involves the communication of autonomous vehicles and an intersection to request space-time trajectories through the intersection. Although previous studies have found congestion and throughput benefits of reservation-based control that surpass signalized cont
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Patel, R., Venkatraman, P., & Boyles, S. D. (2020). Optimal Placement of Reservation-Based Intersections in Urban Networks (Report No. D-STOP/2020/152). University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP). https://rosap.ntl.bts.gov/view/dot/56051
Patel, Rahul, Prashanth Venkatraman, and Stephen D. Boyles. Optimal Placement of Reservation-Based Intersections in Urban Networks. Report no. D-STOP/2020/152. University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP), 2020. https://rosap.ntl.bts.gov/view/dot/56051.
Patel, Rahul, et al. Optimal Placement of Reservation-Based Intersections in Urban Networks. University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP), 2020, Report no. D-STOP/2020/152, ROSA P. https://rosap.ntl.bts.gov/view/dot/56051.
The main objective of this project is to develop an inundation detection and evaluation framework using images from traffic monitoring cameras and reliable flood monitoring under extreme precipitation conditions. This study presents a comparative assessment of image enhancement and segmentation techniques to automatically identify the flash floodin
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Ham, S., Noh, S., Seo, D. J., Yu, Y. C., & Kang, S. (2020). Detection and Estimation of Inundation and Associated Risks Using Traffic Monitoring Cameras and Image Processing Under Extreme Flooding Conditions (Report No. 19SAUTA04). Transportation Consortium of South-Central States. https://doi.org/10.5281/zenodo.4270671
Ham, Suyun, Seongjin Noh, Dong-Jun Seo, Yin Chao Yu, and Sangoo Kang. Detection and Estimation of Inundation and Associated Risks Using Traffic Monitoring Cameras and Image Processing Under Extreme Flooding Conditions. Report no. 19SAUTA04. Transportation Consortium of South-Central States, 2020. https://doi.org/10.5281/zenodo.4270671.
Ham, Suyun, et al. Detection and Estimation of Inundation and Associated Risks Using Traffic Monitoring Cameras and Image Processing Under Extreme Flooding Conditions. Transportation Consortium of South-Central States, 2020, Report no. 19SAUTA04, ROSA P. https://doi.org/10.5281/zenodo.4270671.
A severe weather index (SWI) was developed and tested using RWIS data from 2012 to 2020. The developed SWI model has an overall adjusted R2 = 0.67. The severity bounds are defined as low (0 to 1.2), moderate (1.2 to 8), and severe (greater than 8). The SWI model was tested quantitively and qualitatively using 2019-2020 winter weather data and input
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Fay, L., Villwock-Witte, N., Clouser, K., & Veneziano, D. (2020). Severe Weather Index (Report No. MD-20-SP809B4G). Maryland. State Highway Administration. Office of Policy & Research. https://rosap.ntl.bts.gov/view/dot/54638
Fay, Laura, Natalie Villwock-Witte, Karalyn Clouser, and David Veneziano. Severe Weather Index. Report no. MD-20-SP809B4G. Maryland. State Highway Administration. Office of Policy & Research, 2020. https://rosap.ntl.bts.gov/view/dot/54638.
Fay, Laura, et al. Severe Weather Index. Maryland. State Highway Administration. Office of Policy & Research, 2020, Report no. MD-20-SP809B4G, ROSA P. https://rosap.ntl.bts.gov/view/dot/54638.
The objective of this study was to develop a correlation between lab tests performed using the CoreLok (Idaho -IT-144) method and results from the AASHTO T-84 procedure for fine aggregates in Idaho. These tests are used to determine critical aggregate parameters such as (a) absorption, (b) Gsa, (c) Gsb, and (d) GsbSSD. The AASHTO T-84 procedure tak
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Sharma, S., Kassem, E., & Sharma, S. M. (2020). Evaluation, Comparison, and Correlation Between the Idaho IT-144 and AASHTO T-84 Methods for Determining the Specific Gravity and Absorption Properties of Fine Aggregate (Report No. FHWA-ID-19-252;RP 252). Idaho Transportation Department. https://rosap.ntl.bts.gov/view/dot/55851
Sharma, Sunil, Emad Kassem, and Sandarva M. Sharma. Evaluation, Comparison, and Correlation Between the Idaho IT-144 and AASHTO T-84 Methods for Determining the Specific Gravity and Absorption Properties of Fine Aggregate. Report no. FHWA-ID-19-252;RP 252. Idaho Transportation Department, 2020. https://rosap.ntl.bts.gov/view/dot/55851.
Sharma, Sunil, et al. Evaluation, Comparison, and Correlation Between the Idaho IT-144 and AASHTO T-84 Methods for Determining the Specific Gravity and Absorption Properties of Fine Aggregate. Idaho Transportation Department, 2020, Report no. FHWA-ID-19-252;RP 252, ROSA P. https://rosap.ntl.bts.gov/view/dot/55851.
The goal of this Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE) project was to preliminarily model the microscopic and macroscopic effects of incorporating connected vehicle (CV) technologies into emergency evacuation during typical winter weather in the Pacific Northwest. To meet this goal, the following objectives will b
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Chen, C., & Shi, X. (2020). Effects of Incorporating Connected Vehicle Technologies Into No-Notice Emergency Evacuation During Winter Weather (Phase I) (Report No. Project ID: 2019-16;CAMMSE-UNCC-2019-UTC-Project-16). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education. https://rosap.ntl.bts.gov/view/dot/57393
Chen, Chuang and Xianming Shi. Effects of Incorporating Connected Vehicle Technologies Into No-Notice Emergency Evacuation During Winter Weather (Phase I). Report no. Project ID: 2019-16;CAMMSE-UNCC-2019-UTC-Project-16. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020. https://rosap.ntl.bts.gov/view/dot/57393.
Chen, Chuang, and Xianming Shi Effects of Incorporating Connected Vehicle Technologies Into No-Notice Emergency Evacuation During Winter Weather (Phase I). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020, Report no. Project ID: 2019-16;CAMMSE-UNCC-2019-UTC-Project-16, ROSA P. https://rosap.ntl.bts.gov/view/dot/57393.
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.
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