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.
In the Greater Houston Area, mobile sources (on- and off-road vehicles) contribute the highest share of nitrogen oxide (NOₓ) emissions and second-highest share of volatile organic (VOC) emissions. The Houston METRO system is a key element in Houston's infrastructure that can be expanded to lower emissions of criteria air pollutants (CAPs) and green
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Kommalapati, R., Du, H., & Choe, D. (2020). Life Cycle Environmental Impact of Houston METRO System – Evaluation of Electric Alternatives (Report No. 19PPPVU01). Transportation Consortium of South-Central States. https://doi.org/10.5281/zenodo.4304631
Kommalapati, Raghava, Hongbo Du, and Doeun Choe. Life Cycle Environmental Impact of Houston METRO System – Evaluation of Electric Alternatives. Report no. 19PPPVU01. Transportation Consortium of South-Central States, 2020. https://doi.org/10.5281/zenodo.4304631.
Kommalapati, Raghava, et al. Life Cycle Environmental Impact of Houston METRO System – Evaluation of Electric Alternatives. Transportation Consortium of South-Central States, 2020, Report no. 19PPPVU01, ROSA P. https://doi.org/10.5281/zenodo.4304631.
In 2011, the Minnesota Department of Transportation (MnDOT) installed an iron-enhanced sand filter (IESF) at Trunk Highway (TH) 610 and County Road 81 in Maple Grove, Minnesota. This feature is a two-cell filtration system into which part of Trunk Highway 610 and County Road 81 drain. From 2012 through 2018, MnDOT monitored the influents and efflue
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Mohseni, O. (2020). Monitoring and Performance Analysis of the TH 610 Iron-Enhanced Filtration System (Report No. MN 2020-23). Minnesota. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/53951
Mohseni, Omid. Monitoring and Performance Analysis of the TH 610 Iron-Enhanced Filtration System. Report no. MN 2020-23. Minnesota. Department of Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/53951.
Mohseni, Omid Monitoring and Performance Analysis of the TH 610 Iron-Enhanced Filtration System. Minnesota. Department of Transportation, 2020, Report no. MN 2020-23, ROSA P. https://rosap.ntl.bts.gov/view/dot/53951.
This research developed safety performance functions (SPFs) based on a new Florida Department of Transportation (FDOT) context classification system which contains eight context categories as opposed to the three classifications used in the Highway Safety Manual (HSM). To develop these context-specific SPFs, data were collected for several potentia
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Al-Deek, H., Sandt, A., Gamaleldin, G., McCombs, J., & Blue, P. (2020). A Roadway Context Classification Approach for Developing Safety Performance Functions and Determining Traffic Operational Effects for Florida Intersections. Florida. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/59180
Al-Deek, Haitham, Adrian Sandt, Ghalia Gamaleldin, John McCombs, and Patrick Blue. A Roadway Context Classification Approach for Developing Safety Performance Functions and Determining Traffic Operational Effects for Florida Intersections. Florida. Department of Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/59180.
Al-Deek, Haitham, et al. A Roadway Context Classification Approach for Developing Safety Performance Functions and Determining Traffic Operational Effects for Florida Intersections. Florida. Department of Transportation, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/59180.
Project Description: Comparison of SHRP2 Naturalistic Driving Data to Geometric Design Speed Characteristics on Freeway Ramps” was a study sponsored by SAFE-D that examined data on freeway ramps from the SHRP2 NDS – speed profiles along with selected driver and vehicle variables – and compared that data to the design characteristics of the ramps tr
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DatasetSupporting Files
Brewer, M. A., & Stibbe, J. (2020). Comparison of SHRP 2 Naturalistic Driving Data to Geometric Design Speed Characteristics on Freeway Ramps [supporting datasets] (Report No. TTI-01-03). University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP). https://doi.org/10.15787/VTT1/K11ULD
Brewer, Marcus A. and Jayson Stibbe. Comparison of SHRP 2 Naturalistic Driving Data to Geometric Design Speed Characteristics on Freeway Ramps [supporting datasets]. Report no. TTI-01-03. University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP), 2020. https://doi.org/10.15787/VTT1/K11ULD.
Brewer, Marcus A., and Jayson Stibbe Comparison of SHRP 2 Naturalistic Driving Data to Geometric Design Speed Characteristics on Freeway Ramps [supporting datasets]. University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP), 2020, Report no. TTI-01-03, ROSA P. https://doi.org/10.15787/VTT1/K11ULD.
Obtaining timely information across the state roadway network is important for monitoring the condition of the roads and operating characteristics of traffic. One of the most significant challenges in winter roadway maintenance is identifying emerging or deteriorating conditions before significant crashes occur. For instance, almost all modern vehi
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Li, H., Saldivar-Carranza, E., Mathew, J. K., Kim, W., Desai, J., Wells, T., & Bullock, D. M. (2020). Extraction of Vehicle CAN Bus Data for Roadway Condition Monitoring (Report No. FHWA/IN/JTRP-2020/20). Purdue University. Joint Transportation Research Program. https://doi.org/10.5703/1288284317212
Li, Howell, Enrique Saldivar-Carranza, Jijo K Mathew, Woosung Kim, Jairaj Desai, Timothy Wells, and Darcy M. Bullock. Extraction of Vehicle CAN Bus Data for Roadway Condition Monitoring. Report no. FHWA/IN/JTRP-2020/20. Purdue University. Joint Transportation Research Program, 2020. https://doi.org/10.5703/1288284317212.
Li, Howell, et al. Extraction of Vehicle CAN Bus Data for Roadway Condition Monitoring. Purdue University. Joint Transportation Research Program, 2020, Report no. FHWA/IN/JTRP-2020/20, ROSA P. https://doi.org/10.5703/1288284317212.
Transportation barriers are often considered as critical factors that influence healthcare accessibility and cancer patients' decision-making regarding treatments or post-treatment process. Moreover, the built environment and lack of access to affordable and efficient transportation would significantly affect the quality of life of patients with ch
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Etminanighasrodashti, R., Kan, C., Mozaffarian, L., Qaisrani, M. A., & Mogultay, O. (2020). Exploring the Role of Transportation on Cancer Patient Decision-Making Through Machine Learning Techniques (Report No. CTEDD 019-15). Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC). https://rosap.ntl.bts.gov/view/dot/56024
Etminanighasrodashti, Roya, Chen Kan, Ladan Mozaffarian, Muhammad Arif Qaisrani, and Omer Mogultay. Exploring the Role of Transportation on Cancer Patient Decision-Making Through Machine Learning Techniques. Report no. CTEDD 019-15. Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC), 2020. https://rosap.ntl.bts.gov/view/dot/56024.
Etminanighasrodashti, Roya, et al. Exploring the Role of Transportation on Cancer Patient Decision-Making Through Machine Learning Techniques. Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC), 2020, Report no. CTEDD 019-15, ROSA P. https://rosap.ntl.bts.gov/view/dot/56024.
Concrete made with low transport properties can be very durable even in extremely aggressive environments. This study examined the ability of resistivity testing to determine transport properties for concrete containing ternary blends of portland cement with supplemental cementitious materials. The penetrability of the concrete was tested using rap
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Riding, K. A., Ferraro, C. C., Mosavi, H., Alyami, M. H., Almarshoud, M., & Alrashidi, R. (2020). Durability Evaluation of Ternary Mix Designs for Extremely Aggressive Exposures Phase II. Florida Department of Transportation. https://rosap.ntl.bts.gov/view/dot/61066
Riding, Kyle A, Christopher C. Ferraro, Hossein Mosavi, Mohammed Hussein Alyami, Mohammed Almarshoud, and Raid Alrashidi. Durability Evaluation of Ternary Mix Designs for Extremely Aggressive Exposures Phase II. Florida Department of Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/61066.
Riding, Kyle A, et al. Durability Evaluation of Ternary Mix Designs for Extremely Aggressive Exposures Phase II. Florida Department of Transportation, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/61066.
This study presents the results of a detailed analysis of Oregon weigh-in-motion (WIM) data. First, a quality control analysis was conducted considering Oregon Department of Transportation (ODOT) Class 11 (FHWA Class 09 trucks). Next, a set of descriptive analyses were conducted, one focusing on all WIM stations and one focusing on select WIM stati
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Anderson, J. C., Unnikrishnan, A., Figliozzi, M. A., & Hernandez, S. (2020). Develop New Methods to Use ODOT Weigh-in-Motion Data for Predicting Freight Flow and/or Commodity Patterns (Report No. FHWA-OR-RD-21-01). Oregon. Dept. of Transportation. Research Section. https://rosap.ntl.bts.gov/view/dot/56275
Anderson, Jason C., Avinash Unnikrishnan, Miguel A. Figliozzi, and Salvador Hernandez. Develop New Methods to Use ODOT Weigh-in-Motion Data for Predicting Freight Flow and/or Commodity Patterns. Report no. FHWA-OR-RD-21-01. Oregon. Dept. of Transportation. Research Section, 2020. https://rosap.ntl.bts.gov/view/dot/56275.
Anderson, Jason C., et al. Develop New Methods to Use ODOT Weigh-in-Motion Data for Predicting Freight Flow and/or Commodity Patterns. Oregon. Dept. of Transportation. Research Section, 2020, Report no. FHWA-OR-RD-21-01, ROSA P. https://rosap.ntl.bts.gov/view/dot/56275.
Engineers and planners are typically tasked with approving new entrance permits, evaluating permitting exceptions, and generating safety countermeasures for specific corridors. Although several studies show that a smaller space between two access points is associated with an increased crash risk, the relationship between these two factors is not fu
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Flintsch, A. M., Guo, F., Han, S., Hancock, K., Williams, B., Li, Y., & Gibbons, R. (2020). Impact of Access Spacing Standards on Crash Risk After Controlling for Access Volumes (Report No. FHWA/VTRC 21-R7). Virginia Transportation Research Council (VTRC). https://rosap.ntl.bts.gov/view/dot/54881
Flintsch, Alejandra Medina, Feng Guo, Shu Han, Kathleen Hancock, Brian Williams, Yingfeng Li, and Ron Gibbons. Impact of Access Spacing Standards on Crash Risk After Controlling for Access Volumes. Report no. FHWA/VTRC 21-R7. Virginia Transportation Research Council (VTRC), 2020. https://rosap.ntl.bts.gov/view/dot/54881.
Flintsch, Alejandra Medina, et al. Impact of Access Spacing Standards on Crash Risk After Controlling for Access Volumes. Virginia Transportation Research Council (VTRC), 2020, Report no. FHWA/VTRC 21-R7, ROSA P. https://rosap.ntl.bts.gov/view/dot/54881.
Over the past twenty years, the state of New Jersey has accepted over 30 million cubic yards of material that have many practical uses. This study was conducted to develop a methodology based on existing studies, reviewing records, and visiting field sites. A total of 6 sites in NJ where stabilized dredged materials (SDM) had been used to augment a
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Maher, A., Miskewitz, R., & Nazari, R. (2020). Evaluation of Long-Term Performance of Stabilized Sediment for Beneficial Use (Report No. CAIT-UTC-NC54). Rutgers University. Center for Advanced Infrastructure and Transportation. https://rosap.ntl.bts.gov/view/dot/53998
Maher, Ali, Robert Miskewitz, and Roya Nazari. Evaluation of Long-Term Performance of Stabilized Sediment for Beneficial Use. Report no. CAIT-UTC-NC54. Rutgers University. Center for Advanced Infrastructure and Transportation, 2020. https://rosap.ntl.bts.gov/view/dot/53998.
Maher, Ali, et al. Evaluation of Long-Term Performance of Stabilized Sediment for Beneficial Use. Rutgers University. Center for Advanced Infrastructure and Transportation, 2020, Report no. CAIT-UTC-NC54, ROSA P. https://rosap.ntl.bts.gov/view/dot/53998.
We present a novel statistical inference framework for convex empirical risk minimization, using approximate stochastic Newton steps. The proposed algorithm is based on the notion of finite differences and allows the approximation of a Hessian-vector product from first-order information. In theory, our method efficiently computes the statistical er
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Li, T., Liu, L., Kyrillidis, A., & Caramanis, C. (2020). Statistical Inference Without Excess Data Using Only Stochastic Gradients: Volume 1 (Report No. D-STOP/2020/159). University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP). https://rosap.ntl.bts.gov/view/dot/55860
Li, Tianyang, Liu Liu, Anastasios Kyrillidis, and Constantine Caramanis. Statistical Inference Without Excess Data Using Only Stochastic Gradients: Volume 1. Report no. D-STOP/2020/159. University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP), 2020. https://rosap.ntl.bts.gov/view/dot/55860.
Li, Tianyang, et al. Statistical Inference Without Excess Data Using Only Stochastic Gradients: Volume 1. University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP), 2020, Report no. D-STOP/2020/159, ROSA P. https://rosap.ntl.bts.gov/view/dot/55860.
This project covers the development of Accessibility measures for the State of North Dakota at the county level and for the three North Dakota MPOs. It explains the procedures, constraints and considerations for the use of the model as an evaluation tool to measure the effectiveness off the transportation system to meet the needs of residents.
Advance Traffic Analysis Center (ATAC), Upper Great Plains Transportation Institute, & North Dakota State University (2020). Measuring Transportation Accessibility for MPOs and for the State of ND. Upper Great Plains Transportation Institute. https://rosap.ntl.bts.gov/view/dot/78940
Advance Traffic Analysis Center (ATAC), Upper Great Plains Transportation Institute, and North Dakota State University. Measuring Transportation Accessibility for MPOs and for the State of ND. Upper Great Plains Transportation Institute, 2020. https://rosap.ntl.bts.gov/view/dot/78940.
Advance Traffic Analysis Center (ATAC), et al. Measuring Transportation Accessibility for MPOs and for the State of ND. Upper Great Plains Transportation Institute, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/78940.
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.
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