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 idea of deploying electric vehicles and unmanned aerial vehicles (UAVs), also known as drones, to perform "last-mile" delivery in logistics operations has attracted increasing attention in the past few years. In this paper, an electric vehicle travelling salesman problem with drone (EVTSP-D) is formulated as a mixed-integer/linear program to ai
...
Boyles, S. D., & Zhu, T. (2020). Assessment of Parcel Delivery Systems Using Unmanned Aerial Vehicles (Report No. 2019 Project 07). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education. https://rosap.ntl.bts.gov/view/dot/58925
Boyles, Stephen D. and Tengkuo Zhu. Assessment of Parcel Delivery Systems Using Unmanned Aerial Vehicles. Report no. 2019 Project 07. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020. https://rosap.ntl.bts.gov/view/dot/58925.
Boyles, Stephen D., and Tengkuo Zhu Assessment of Parcel Delivery Systems Using Unmanned Aerial Vehicles. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020, Report no. 2019 Project 07, ROSA P. https://rosap.ntl.bts.gov/view/dot/58925.
Activities were dedicated to the collections, summarizations and categorizing more research articles related to the analysis of the sources of workforce deficiencies. The focus was on the technical and educational solution methods and strategies, guideline relevant to the workforce development. The times also were committed to the development of ed
...
Ehteshami, G. R. (2020). Analysis of the Causes of Workforce Shortages: Create Guidelines for Education and Workforce Development in Transportation to Generate Future Careers for the Navajo Nation (Report No. 19TTNTU03). Transportation Consortium of South-Central States. https://doi.org/10.5281/zenodo.4432090
Ehteshami, Gholam R. Analysis of the Causes of Workforce Shortages: Create Guidelines for Education and Workforce Development in Transportation to Generate Future Careers for the Navajo Nation. Report no. 19TTNTU03. Transportation Consortium of South-Central States, 2020. https://doi.org/10.5281/zenodo.4432090.
Ehteshami, Gholam R Analysis of the Causes of Workforce Shortages: Create Guidelines for Education and Workforce Development in Transportation to Generate Future Careers for the Navajo Nation. Transportation Consortium of South-Central States, 2020, Report no. 19TTNTU03, ROSA P. https://doi.org/10.5281/zenodo.4432090.
UC Davis researchers have developed a cost model of travel choices that individuals make related to urban vehicle travel. These choices can include deciding to own, ride in, and drive a private vehicle or use pooled or solo ridesourcing (e.g., Uber). The model considers both monetary and non-monetary factors that affect travel choice. Monetary fact
...
Fulton, L. M., Compostella, J., & Kothawala, A. (2020). Estimating the Costs of New Mobility Travel Options: Monetary and Non-Monetary Factors (Report No. NCST-UCD-RR-20-23;UCD-ITS-RR-20-43). United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology. https://doi.org/10.25338/B8Q04H
Fulton, Lewis M, Junia Compostella, and Alimurtaza Kothawala. Estimating the Costs of New Mobility Travel Options: Monetary and Non-Monetary Factors. Report no. NCST-UCD-RR-20-23;UCD-ITS-RR-20-43. United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology, 2020. https://doi.org/10.25338/B8Q04H.
Fulton, Lewis M, et al. Estimating the Costs of New Mobility Travel Options: Monetary and Non-Monetary Factors. United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology, 2020, Report no. NCST-UCD-RR-20-23;UCD-ITS-RR-20-43, ROSA P. https://doi.org/10.25338/B8Q04H.
The partial collapse of Illinois Department of Transportation structure 020-3087 on October 1, 2019, provided IDOT with the opportunity to evaluate the in situ strength of a precast, prestressed concrete deck beam bridge after 50 years in service. An undamaged beam was transported to the Newmark Structural Engineering Laboratory and tested in three
...
Golecki, T. F., & Spencer Jr, B. F. (2020). Destructive Testing of IDOT Bridge Structure Number 020-3087 (Report No. FHWA-ICT-20-008). Illinois. Dept. of Transportation. Bureau of Research. https://doi.org/10.36501/0197-9191/20-014
Golecki, Thomas F. and B. F. Spencer Jr. Destructive Testing of IDOT Bridge Structure Number 020-3087. Report no. FHWA-ICT-20-008. Illinois. Dept. of Transportation. Bureau of Research, 2020. https://doi.org/10.36501/0197-9191/20-014.
Golecki, Thomas F., and B. F. Spencer Jr Destructive Testing of IDOT Bridge Structure Number 020-3087. Illinois. Dept. of Transportation. Bureau of Research, 2020, Report no. FHWA-ICT-20-008, ROSA P. https://doi.org/10.36501/0197-9191/20-014.
The goal of this Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE) project was to engage local middle and high school students in transportation engineering activities that include pre- and post-testing in order to assess their learning and the factors that influenced their learning. To meet this goal, the following objective
...
Willis, O., Reed, C., Zhang, Y., & Shi, X. (2020). Multimodal Transportation Engineering Curriculum for Middle and High School Students (Report No. Project ID: 2019-15;CAMMSE-UNCC-2019-UTC-Project-15). University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education. https://rosap.ntl.bts.gov/view/dot/57030
Willis, Olivia, Cheryl Reed, Yan Zhang, and Xianming Shi. Multimodal Transportation Engineering Curriculum for Middle and High School Students. Report no. Project ID: 2019-15;CAMMSE-UNCC-2019-UTC-Project-15. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020. https://rosap.ntl.bts.gov/view/dot/57030.
Willis, Olivia, et al. Multimodal Transportation Engineering Curriculum for Middle and High School Students. University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education, 2020, Report no. Project ID: 2019-15;CAMMSE-UNCC-2019-UTC-Project-15, ROSA P. https://rosap.ntl.bts.gov/view/dot/57030.
Millimeter-wave (mmWave) communications, using directional beams, is a key enabler for high-throughput mobile ad hoc networks. These directional beams are organized into multiple codebooks according to beam resolution, with each codebook consisting of a set of equal width beams that cover the whole angular space. The codebook with narrow beams deli
...
Zhang, Y., Basu, S., Shakkottai, S., & Heath Jr, R. W. (2020). MmWave Codebook Selection in Rapidly-Varying Channels via Multinomial Thompson Sampling (Report No. D-STOP/2020/158). University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP). https://rosap.ntl.bts.gov/view/dot/55862
Zhang, Yi, Soumya Basu, Sanjay Shakkottai, and Robert W Heath Jr. MmWave Codebook Selection in Rapidly-Varying Channels via Multinomial Thompson Sampling. Report no. D-STOP/2020/158. University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP), 2020. https://rosap.ntl.bts.gov/view/dot/55862.
Zhang, Yi, et al. MmWave Codebook Selection in Rapidly-Varying Channels via Multinomial Thompson Sampling. University of Texas at Austin. Data-Supported Transportation Operations & Planning Center (D-STOP), 2020, Report no. D-STOP/2020/158, ROSA P. https://rosap.ntl.bts.gov/view/dot/55862.
Traditional public transit is designed to serve high-density, urban areas with concentrated travel patterns using fixed routes and schedules. Mobility gaps exist for populations who are captive to public transit and need to travel to locations where public transit does not cover. Emerging technologies enable bridging such a gap by providing flexibl
...
Grahn, R., & Qian, S. (2020). Strategic and Operational Strategies to Inform First- and Last- Mile Services: Case Studies for Robinson and Moon Townships. Mobility21, Carnegie Mellon University. https://rosap.ntl.bts.gov/view/dot/56331
Grahn, Rick and Sean Qian. Strategic and Operational Strategies to Inform First- and Last- Mile Services: Case Studies for Robinson and Moon Townships. Mobility21, Carnegie Mellon University, 2020. https://rosap.ntl.bts.gov/view/dot/56331.
Grahn, Rick, and Sean Qian Strategic and Operational Strategies to Inform First- and Last- Mile Services: Case Studies for Robinson and Moon Townships. Mobility21, Carnegie Mellon University, 2020, ROSA P. https://rosap.ntl.bts.gov/view/dot/56331.
Transportation infrastructure construction quality control and quality assurance demands construction monitoring by field inspectors. Currently, these inspectors monitor infrastructure by measuring and photographing structures. These tasks allow them to assess any correction decision during construction or to inform about the quality of the constru
...
Moreu, F., Lippitt, C. D., & Yuan, X. (2020). Bridge Construction Monitoring using LIDAR for Quantified, Objective Quality-Control Quality-Assurance (QOQCQA) (Report No. 19STUNM02). Transportation Consortium of South-Central States. https://rosap.ntl.bts.gov/view/dot/58940
Moreu, Fernando, Christopher D. Lippitt, and Xinxing Yuan. Bridge Construction Monitoring using LIDAR for Quantified, Objective Quality-Control Quality-Assurance (QOQCQA). Report no. 19STUNM02. Transportation Consortium of South-Central States, 2020. https://rosap.ntl.bts.gov/view/dot/58940.
Moreu, Fernando, et al. Bridge Construction Monitoring using LIDAR for Quantified, Objective Quality-Control Quality-Assurance (QOQCQA). Transportation Consortium of South-Central States, 2020, Report no. 19STUNM02, ROSA P. https://rosap.ntl.bts.gov/view/dot/58940.
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
...
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
...
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
...
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
...
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
...
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
...
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
...
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
...
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
...
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
...
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
...
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.
Links with this icon indicate that you are leaving a Bureau of Transportation
Statistics (BTS)/National Transportation Library (NTL)
Web-based service.
Thank you for visiting.
You are about to access a non-government link outside of
the U.S. Department of Transportation's National
Transportation Library.
Please note: While links to Web sites outside of DOT are
offered for your convenience, when you exit DOT Web sites,
Federal privacy policy and Section 508 of the Rehabilitation
Act (accessibility requirements) no longer apply. In
addition, DOT does not attest to the accuracy, relevance,
timeliness or completeness of information provided by linked
sites. Linking to a Web site does not constitute an
endorsement by DOT of the sponsors of the site or the
products presented on the site. For more information, please
view DOT's Web site linking policy.
To get back to the page you were previously viewing, click
your Cancel button.