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 Bismarck Mandan Metropolitan Planning Organization (B-M MPO) Travel Demand Model (TDM) undergoes a comprehensive update every five years to incorporate the latest ground truths/data and advancements in transportation modeling techniques. The latest update incorporates data from the base year 2021 and partially from 2022, necessitated by the uni
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Motuba, D., & Rahman, B. (2024). Bismarck Mandan 2021 Travel Demand Model Update. Upper Great Plains Transportation Institute. https://rosap.ntl.bts.gov/view/dot/78944
Motuba, Diomo and Baishali Rahman. Bismarck Mandan 2021 Travel Demand Model Update. Upper Great Plains Transportation Institute, 2024. https://rosap.ntl.bts.gov/view/dot/78944.
Motuba, Diomo, and Baishali Rahman Bismarck Mandan 2021 Travel Demand Model Update. Upper Great Plains Transportation Institute, 2024, ROSA P. https://rosap.ntl.bts.gov/view/dot/78944.
This Phase 1 study was undertaken to evaluate cracking related to dowel bars and tie bars in concrete pavement. The results of the literature review and field studies suggest that under some conditions, restraint caused by dowel bars and tie bars in the concrete result in high early age stresses that contribute to cracking. Field evaluation of six
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Rao, S., Abdualla, H., & Sufian, A. A. (2024). Solutions To Mitigate Dowel/Tie-Bar Propagated Cracking – Phase 1 (Report No. NRRA202402). Minnesota. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/75576
Rao, Shreenath, Hesham Abdualla, and Abu A Sufian. Solutions To Mitigate Dowel/Tie-Bar Propagated Cracking – Phase 1. Report no. NRRA202402. Minnesota. Department of Transportation, 2024. https://rosap.ntl.bts.gov/view/dot/75576.
Rao, Shreenath, et al. Solutions To Mitigate Dowel/Tie-Bar Propagated Cracking – Phase 1. Minnesota. Department of Transportation, 2024, Report no. NRRA202402, ROSA P. https://rosap.ntl.bts.gov/view/dot/75576.
The objectives of this research were to provide a comprehensive study to examine safety issues associated with commercial driveways and to develop guidance for transportation agencies responsible for access management.
Bonyani, G., & Williams, K. M. (2024). Crashes Related to Type and Location of Driveway Access [Summary]. Florida. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/74239
Bonyani, Gina and Kristine M. Williams. Crashes Related to Type and Location of Driveway Access [Summary]. Florida. Department of Transportation, 2024. https://rosap.ntl.bts.gov/view/dot/74239.
Bonyani, Gina, and Kristine M. Williams Crashes Related to Type and Location of Driveway Access [Summary]. Florida. Department of Transportation, 2024, ROSA P. https://rosap.ntl.bts.gov/view/dot/74239.
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis
2024-04-01
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This Research Note summarizes distracted driving statistics for 2022. Driver distraction is a specific type of driver inattention that occurs when drivers divert attention from the driving task to focus on some other activity. Often discussions regarding distracted driving center around cellphone use and texting, but distracted driving also include
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United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis (2024). Distracted Driving in 2022 [Traffic Safety Facts - Research Note] (Report No. DOT HS 813 559). United States. Department of Transportation. National Highway Traffic Safety Administration. https://rosap.ntl.bts.gov/view/dot/78043
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis. Distracted Driving in 2022 [Traffic Safety Facts - Research Note]. Report no. DOT HS 813 559. United States. Department of Transportation. National Highway Traffic Safety Administration, 2024. https://rosap.ntl.bts.gov/view/dot/78043.
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis Distracted Driving in 2022 [Traffic Safety Facts - Research Note]. United States. Department of Transportation. National Highway Traffic Safety Administration, 2024, Report no. DOT HS 813 559, ROSA P. https://rosap.ntl.bts.gov/view/dot/78043.
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis
2024-04-01
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This is the updated and revised Crash Report Sampling System Analytical User’s Manual for the period 2016 to 2022. This multi-year analytical user’s manual provides documentation on the evolution of coding practices of CRSS from 2016 to 2022. The manual will continue to grow each year and present the historical coding of CRSS from inception through
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United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis (2024). Crash Report Sampling System Analytical User’s Manual, 2016-2022 (Report No. DOT HS 813 557). United States. Department of Transportation. National Highway Traffic Safety Administration. https://rosap.ntl.bts.gov/view/dot/78235
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis. Crash Report Sampling System Analytical User’s Manual, 2016-2022. Report no. DOT HS 813 557. United States. Department of Transportation. National Highway Traffic Safety Administration, 2024. https://rosap.ntl.bts.gov/view/dot/78235.
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis Crash Report Sampling System Analytical User’s Manual, 2016-2022. United States. Department of Transportation. National Highway Traffic Safety Administration, 2024, Report no. DOT HS 813 557, ROSA P. https://rosap.ntl.bts.gov/view/dot/78235.
With noticeable staff turnover in certain employment classifications, NJDOT engaged Cambridge Systematics (CS) to conduct the Compensation Scan and Retention Study. This scope of work is focused on researching and collecting information on compensation and retention of employees utilized by municipalities and county transportation agencies, private
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Gaines, D., Kurlander, V., & Reinhardt, K. (2024). NJDOT Compensation Scan and Retention Study (Report No. NJDOT-2024-002). New Jersey. Department of Transportation. Bureau of Research. https://rosap.ntl.bts.gov/view/dot/74619
Gaines, Danena, Victoria Kurlander, and Karl Reinhardt. NJDOT Compensation Scan and Retention Study. Report no. NJDOT-2024-002. New Jersey. Department of Transportation. Bureau of Research, 2024. https://rosap.ntl.bts.gov/view/dot/74619.
Gaines, Danena, et al. NJDOT Compensation Scan and Retention Study. New Jersey. Department of Transportation. Bureau of Research, 2024, Report no. NJDOT-2024-002, ROSA P. https://rosap.ntl.bts.gov/view/dot/74619.
KDOT currently uses a variety of thin bonded overlay systems to prolong the life of bridge decks in Kansas. These vary in both thickness and material type from thin ¼ in. bonded polymer overlays to common 1.5 in. silica fume concrete overlays. Jay’s Majic Mud was submitted as a potential new material product that could serve as a cost-effective alt
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McArtor, E., Broxterman, B., Mayer, S. J., & Wadley, D. L. (2024). Product Material Investigation and Evaluation of Jay’s Majic Mud for Use in KDOT Construction and Maintenance Applications [Technical Summary] (Report No. KS-24-01). Kansas Department of Transportation. Bureau of Research. https://rosap.ntl.bts.gov/view/dot/74128
McArtor, Erinn, Brandon Broxterman, Sally J Mayer, and Dan L Wadley. Product Material Investigation and Evaluation of Jay’s Majic Mud for Use in KDOT Construction and Maintenance Applications [Technical Summary]. Report no. KS-24-01. Kansas Department of Transportation. Bureau of Research, 2024. https://rosap.ntl.bts.gov/view/dot/74128.
McArtor, Erinn, et al. Product Material Investigation and Evaluation of Jay’s Majic Mud for Use in KDOT Construction and Maintenance Applications [Technical Summary]. Kansas Department of Transportation. Bureau of Research, 2024, Report no. KS-24-01, ROSA P. https://rosap.ntl.bts.gov/view/dot/74128.
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis
2024-04-01
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Non-traffic motor vehicle crashes are a class of crashes that occur off the public trafficways. These are mostly single-vehicle crashes on private roads, two-vehicle crashes in parking facilities, or collisions with pedestrians in driveways. In addition, there are “non-traffic incidents” such as a vehicle falling on a person underneath the vehicle
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United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis (2024). Non-Traffic Surveillance: Fatality and Injury Statistics in Non-Traffic Crashes in 2021 [Traffic Safety Facts - Research Note] (Report No. DOT HS 813 539). United States. Department of Transportation. National Highway Traffic Safety Administration. https://rosap.ntl.bts.gov/view/dot/78042
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis. Non-Traffic Surveillance: Fatality and Injury Statistics in Non-Traffic Crashes in 2021 [Traffic Safety Facts - Research Note]. Report no. DOT HS 813 539. United States. Department of Transportation. National Highway Traffic Safety Administration, 2024. https://rosap.ntl.bts.gov/view/dot/78042.
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis Non-Traffic Surveillance: Fatality and Injury Statistics in Non-Traffic Crashes in 2021 [Traffic Safety Facts - Research Note]. United States. Department of Transportation. National Highway Traffic Safety Administration, 2024, Report no. DOT HS 813 539, ROSA P. https://rosap.ntl.bts.gov/view/dot/78042.
To improve the visibility and safety of pedestrian and bicyclist crossings, traffic-safety professionals across Minnesota have installed the Rectangular Rapid Flashing Beacon (RRFB) and Pedestrian Hybrid Beacon (PHB) at numerous locations around the state. The purpose of this evaluation was to determine the safety benefits, if any, for pedestrians
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Saari, I., & Wagner, M. (2024). Traffic Safety Evaluation of Pedestrians and Bicyclists at Rectangular Rapid Flashing Beacons and Pedestrian Hybrid Beacons in Minnesota (Report No. MN 2024-11). Minnesota. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/75585
Saari, Ian and Mark Wagner. Traffic Safety Evaluation of Pedestrians and Bicyclists at Rectangular Rapid Flashing Beacons and Pedestrian Hybrid Beacons in Minnesota. Report no. MN 2024-11. Minnesota. Department of Transportation, 2024. https://rosap.ntl.bts.gov/view/dot/75585.
Saari, Ian, and Mark Wagner Traffic Safety Evaluation of Pedestrians and Bicyclists at Rectangular Rapid Flashing Beacons and Pedestrian Hybrid Beacons in Minnesota. Minnesota. Department of Transportation, 2024, Report no. MN 2024-11, ROSA P. https://rosap.ntl.bts.gov/view/dot/75585.
This project intends to investigate the feasibility of deploying LaneBlade® on CHART vehicles under various environmental conditions such as low visibility conditions, etc., as well as the effectiveness of LaneBlade® in reducing debris clearance time in various scenarios where its deployment is feasible.
Yang, X. (2024). Improving Roadway Debris Clearance for CHART Responders: Research Summary (Report No. MD-24-SHA/UM/6-19). University of Maryland (College Park, Md.). https://rosap.ntl.bts.gov/view/dot/73822
Yang, Xianfeng. Improving Roadway Debris Clearance for CHART Responders: Research Summary. Report no. MD-24-SHA/UM/6-19. University of Maryland (College Park, Md.), 2024. https://rosap.ntl.bts.gov/view/dot/73822.
Yang, Xianfeng Improving Roadway Debris Clearance for CHART Responders: Research Summary. University of Maryland (College Park, Md.), 2024, Report no. MD-24-SHA/UM/6-19, ROSA P. https://rosap.ntl.bts.gov/view/dot/73822.
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis
2024-04-01
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The Non-Traffic Surveillance (NTS) system is a virtual data collection system of which one part is designed to gather data on fatalities and injuries that occur in nontraffic crashes, which can occur on private roads, driveways, and parking lots. The NTS program accepted potential crashes only from FARS analysts and from sampled Crash Report Sampli
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United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis (2024). 2021 Non-Traffic Surveillance System Coding and Validation Manual (Report No. DOT HS 813 552). United States. Department of Transportation. National Highway Traffic Safety Administration. https://rosap.ntl.bts.gov/view/dot/78047
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis. 2021 Non-Traffic Surveillance System Coding and Validation Manual. Report no. DOT HS 813 552. United States. Department of Transportation. National Highway Traffic Safety Administration, 2024. https://rosap.ntl.bts.gov/view/dot/78047.
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis 2021 Non-Traffic Surveillance System Coding and Validation Manual. United States. Department of Transportation. National Highway Traffic Safety Administration, 2024, Report no. DOT HS 813 552, ROSA P. https://rosap.ntl.bts.gov/view/dot/78047.
2024-04-01
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Domestic Airline Fares Consumer Report
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Each month the Department of Transportation releases an Air Travel Consumer Report that includes information about various service quality elements, including flight delays, mishandled baggage, over sales, and a variety of other types of consumer complaints. In response to an increasing number of inquiries from consumers about domestic airline pric
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United States. Department of Transportation (2024). Domestic Airline Fares Consumer Report: Fourth Quarter 2023 Passenger and Fare Information. United States. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/75796
United States. Department of Transportation. Domestic Airline Fares Consumer Report: Fourth Quarter 2023 Passenger and Fare Information. United States. Department of Transportation, 2024. https://rosap.ntl.bts.gov/view/dot/75796.
United States. Department of Transportation Domestic Airline Fares Consumer Report: Fourth Quarter 2023 Passenger and Fare Information. United States. Department of Transportation, 2024, ROSA P. https://rosap.ntl.bts.gov/view/dot/75796.
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis
2024-04-01
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The Non-Traffic Surveillance (NTS) system is a virtual data collection system of which one part is designed to gather data on fatalities and injuries that occur in nontraffic crashes, which can occur on private roads, driveways, and parking lots. The NTS program accepted potential crashes only from FARS analysts and from sampled Crash Report Sampli
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United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis (2024). 2020 Non-Traffic Surveillance System Coding and Validation Manual (Report No. DOT HS 813 551). United States. Department of Transportation. National Highway Traffic Safety Administration. https://rosap.ntl.bts.gov/view/dot/78046
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis. 2020 Non-Traffic Surveillance System Coding and Validation Manual. Report no. DOT HS 813 551. United States. Department of Transportation. National Highway Traffic Safety Administration, 2024. https://rosap.ntl.bts.gov/view/dot/78046.
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis 2020 Non-Traffic Surveillance System Coding and Validation Manual. United States. Department of Transportation. National Highway Traffic Safety Administration, 2024, Report no. DOT HS 813 551, ROSA P. https://rosap.ntl.bts.gov/view/dot/78046.
Vehicle-to-everything (V2X) communications are expected to take a critical role in a variety of transportation safety applications in connected and autonomous vehicle environment. However, Dedicated Short-Range Communications (DSRC), one of the representative technologies implementing the V2X communications, is encountering challenges due to the re
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Kim, S. (2024). Study on Spectrum Options for GDOT’s Connected Vehicle Infrastructure (Report No. FHWA 211108). Georgia. Department of Transportation. Office of Performance-Based Management & Research. https://rosap.ntl.bts.gov/view/dot/74242
Kim, Seungmo. Study on Spectrum Options for GDOT’s Connected Vehicle Infrastructure. Report no. FHWA 211108. Georgia. Department of Transportation. Office of Performance-Based Management & Research, 2024. https://rosap.ntl.bts.gov/view/dot/74242.
Kim, Seungmo Study on Spectrum Options for GDOT’s Connected Vehicle Infrastructure. Georgia. Department of Transportation. Office of Performance-Based Management & Research, 2024, Report no. FHWA 211108, ROSA P. https://rosap.ntl.bts.gov/view/dot/74242.
Transportation investments vary across geographic areas. Currently, there is no mechanism in place to ensure that those investments are equitable. This project examined transportation investments and infrastructure quality (e.g., pavement conditions, presence of bike lanes, transit access, speed limits, etc.) in urban and rural Utah and correlated
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Burbidge, S. K., Gee, C., & Abel, E. (2024). A Data-Driven Analysis of Transportation Infrastructure Equity in Utah (Report No. UT- 24.11). Utah. Dept. of Transportation. Research Division. https://rosap.ntl.bts.gov/view/dot/77217
Burbidge, Shaunna K., Collin Gee, and Emma Abel. A Data-Driven Analysis of Transportation Infrastructure Equity in Utah. Report no. UT- 24.11. Utah. Dept. of Transportation. Research Division, 2024. https://rosap.ntl.bts.gov/view/dot/77217.
Burbidge, Shaunna K., et al. A Data-Driven Analysis of Transportation Infrastructure Equity in Utah. Utah. Dept. of Transportation. Research Division, 2024, Report no. UT- 24.11, ROSA P. https://rosap.ntl.bts.gov/view/dot/77217.
United States. Department of Transportation. Highly Automated Systems Safety Center of Excellence
2024-04-01
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AI assurance refers to the techniques, activities, and processes used to evaluate and assure expected properties of AI components or AI-enabled systems throughout the lifecycle of these components or systems. The properties may relate to performance, safety, or security. Typical examples of AI assurance techniques are verification, validation, and
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United States. Department of Transportation. Highly Automated Systems Safety Center of Excellence (2024). An Overview of AI Assurance for Transportation. United States. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/78592
United States. Department of Transportation. Highly Automated Systems Safety Center of Excellence. An Overview of AI Assurance for Transportation. United States. Department of Transportation, 2024. https://rosap.ntl.bts.gov/view/dot/78592.
United States. Department of Transportation. Highly Automated Systems Safety Center of Excellence An Overview of AI Assurance for Transportation. United States. Department of Transportation, 2024, ROSA P. https://rosap.ntl.bts.gov/view/dot/78592.
E-commerce services and facilities have the benefits of bringing new employment opportunities to communities and meeting consumer needs, but they also attract heavy traffic, which results in congestion and negative environmental and economic repercussions. This project offers a new lens for studying future e-commerce facility siting, considering cu
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Bhat, C. R., Asmussen, K., Anderson, S. M., Kothawala, A., Perrine, K. A., Ruiz-Juri, N., Boyles, S., Li, Y., Saxena, S., Zilligen, C., Savarese, B., & Macias, L. (2024). 0-7165: Logistics Sprawl Impacts on E-commerce Travel Patterns [Summary] (Report No. FHWA/TX-24/0-7165-1). Texas Department of Transportation. Research and Technology Implementation Office. https://rosap.ntl.bts.gov/view/dot/77902
Bhat, Chandra R., Katherine Asmussen, Samantha M Anderson, Alimurtaza Kothawala, Kenneth A. Perrine, Natalia Ruiz-Juri, and Stephen Boyles, et al.. 0-7165: Logistics Sprawl Impacts on E-commerce Travel Patterns [Summary]. Report no. FHWA/TX-24/0-7165-1. Texas Department of Transportation. Research and Technology Implementation Office, 2024. https://rosap.ntl.bts.gov/view/dot/77902.
Bhat, Chandra R., et al. 0-7165: Logistics Sprawl Impacts on E-commerce Travel Patterns [Summary]. Texas Department of Transportation. Research and Technology Implementation Office, 2024, Report no. FHWA/TX-24/0-7165-1, ROSA P. https://rosap.ntl.bts.gov/view/dot/77902.
Workforce education is crucial to ensuring the safety and equality of the work environment. Immersive virtual reality (VR) training is revolutionizing workforce education, providing practical on-the-job training within a safe simulated environment. The project aimed to develop an immersive training platform using state-of-the-art VR technologies an
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Wang, Z., Lin, P. S., Alqasemi, R. M., Kolla, R. D. T. N., & Aguila, A. L. (2024). Development of an Immersive Training Platform for Roadway Construction Workers using Virtual Reality Technologies [Policy Brief]. Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC). https://rosap.ntl.bts.gov/view/dot/78250
Wang, Zhenyu, Pei-Sung Lin, Redwan M Alqasemi, Rama Durga Tammayya Naidu Kolla, and Alvaro Lazaro Aguila. Development of an Immersive Training Platform for Roadway Construction Workers using Virtual Reality Technologies [Policy Brief]. Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC), 2024. https://rosap.ntl.bts.gov/view/dot/78250.
Wang, Zhenyu, et al. Development of an Immersive Training Platform for Roadway Construction Workers using Virtual Reality Technologies [Policy Brief]. Center for Transportation, Equity, Decisions and Dollars (CTEDD) (UTC), 2024, ROSA P. https://rosap.ntl.bts.gov/view/dot/78250.
This report details the development and evaluation of an innovative component in a traffic management system aimed at enhancing safety in work zones through targeted warning messages. The primary objective of the system is to improve the rates of driver compliance with work zone guidelines presented on signages and message boards, which our studies
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Soltani, I., Gao, D., Shi, D., Ghafourian, A., Kazemi, E., & Yen, K. (2024). Targeted Warning Messages to Protect Moving and Stationary Maintenance Lane Closures (Report No. CA24-3919). California. Department of Transportation. Department of Research, Innovation and System Information. https://rosap.ntl.bts.gov/view/dot/79209
Soltani, Iman, Dechen Gao, Debo Shi, Amin Ghafourian, Ehsan Kazemi, and Kin Yen. Targeted Warning Messages to Protect Moving and Stationary Maintenance Lane Closures. Report no. CA24-3919. California. Department of Transportation. Department of Research, Innovation and System Information, 2024. https://rosap.ntl.bts.gov/view/dot/79209.
Soltani, Iman, et al. Targeted Warning Messages to Protect Moving and Stationary Maintenance Lane Closures. California. Department of Transportation. Department of Research, Innovation and System Information, 2024, Report no. CA24-3919, ROSA P. https://rosap.ntl.bts.gov/view/dot/79209.
The primary objectives of this study were to establish the state-of-practice in winter weather data applications and to design a platform that integrates all weather data into a single decision support tool. Expected outcomes include documentation of the state-of-practice and interface designs for a comprehensive winter operations decision support
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Franz, M. L. (2024). Integrating Road Weather Technology Data in Highway Operations [Research Summary] (Report No. MD-24-SHA/UM/6-12). Maryland Department of Transportation. State Highway Administration. https://rosap.ntl.bts.gov/view/dot/78745
Franz, Mark L.. Integrating Road Weather Technology Data in Highway Operations [Research Summary]. Report no. MD-24-SHA/UM/6-12. Maryland Department of Transportation. State Highway Administration, 2024. https://rosap.ntl.bts.gov/view/dot/78745.
Franz, Mark L. Integrating Road Weather Technology Data in Highway Operations [Research Summary]. Maryland Department of Transportation. State Highway Administration, 2024, Report no. MD-24-SHA/UM/6-12, ROSA P. https://rosap.ntl.bts.gov/view/dot/78745.
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