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.
United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
2024-08-01
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OST-R Research Roundup
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News from across OST-R and its research community.
United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology (2024). OST-R Research Roundup Newsletter: August 2024. United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology. https://rosap.ntl.bts.gov/view/dot/76643
United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology. OST-R Research Roundup Newsletter: August 2024. United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology, 2024. https://rosap.ntl.bts.gov/view/dot/76643.
United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology OST-R Research Roundup Newsletter: August 2024. United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology, 2024, ROSA P. https://rosap.ntl.bts.gov/view/dot/76643.
This report thoroughly investigates and analyzes the diverse factors influencing incident occurrence in work zone environments, aiming to identify areas where proactive planning can enhance incident mitigation. Drawing from an extensive review of existing literature on work zone safety, 37 factors affecting both public and occupational safety were
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El-adaway, I. (2024). Mitigating and Preventing MoDOT Safety-Related Incidents Through Root-Cause Elimination and Utilization of Leading Safety Indicators [Research Brief]. Missouri. Department of Transportation. Construction and Materials Division. https://rosap.ntl.bts.gov/view/dot/77708
El-adaway, Islam. Mitigating and Preventing MoDOT Safety-Related Incidents Through Root-Cause Elimination and Utilization of Leading Safety Indicators [Research Brief]. Missouri. Department of Transportation. Construction and Materials Division, 2024. https://rosap.ntl.bts.gov/view/dot/77708.
El-adaway, Islam Mitigating and Preventing MoDOT Safety-Related Incidents Through Root-Cause Elimination and Utilization of Leading Safety Indicators [Research Brief]. Missouri. Department of Transportation. Construction and Materials Division, 2024, ROSA P. https://rosap.ntl.bts.gov/view/dot/77708.
Currently, most state highway agencies (SHAs), including Missouri Department of Transportation (MoDOT), require specific aggregates for Stone Matrix Asphalt (SMA) and high-level Hot Mix Asphalt (HMA) mixtures. Meanwhile, to reduce the cost and maintain mixtures’ durability, SHAs have been trying to identify locally available, cost-effective, and du
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Liu, J. (2024). Analysis of Asphalt Mixtures Using Alternative Aggregate in SMA and Superpave [Research Summary]. Missouri. Department of Transportation. Construction and Materials Division. https://rosap.ntl.bts.gov/view/dot/77704
Liu, Jenny. Analysis of Asphalt Mixtures Using Alternative Aggregate in SMA and Superpave [Research Summary]. Missouri. Department of Transportation. Construction and Materials Division, 2024. https://rosap.ntl.bts.gov/view/dot/77704.
Liu, Jenny Analysis of Asphalt Mixtures Using Alternative Aggregate in SMA and Superpave [Research Summary]. Missouri. Department of Transportation. Construction and Materials Division, 2024, ROSA P. https://rosap.ntl.bts.gov/view/dot/77704.
Access management is a form of traffic engineering utilized by transportation agencies to improve the safety and efficiency of traffic flow on, off, and between roadways. Access management applies a variety of construction interventions that manipulate how vehicles enter and exit roadways and access the driveways or parking lots of homes and busine
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Barnes, S., Schneider, H., & Mills, E. (2024). Economic Impact of Access Management Treatments (Report No. FHWA/LA.24/697). Louisiana Transportation Research Center. https://rosap.ntl.bts.gov/view/dot/76690
Barnes, Stephen, Helmut Schneider, and Eric Mills. Economic Impact of Access Management Treatments. Report no. FHWA/LA.24/697. Louisiana Transportation Research Center, 2024. https://rosap.ntl.bts.gov/view/dot/76690.
Barnes, Stephen, et al. Economic Impact of Access Management Treatments. Louisiana Transportation Research Center, 2024, Report no. FHWA/LA.24/697, ROSA P. https://rosap.ntl.bts.gov/view/dot/76690.
The Multimodal Airport Charging Station Deployment – Phase I research addressed the following principal objectives: Conduct a feasibility analysis for a multimodal charging station at a Michigan Airport, and provide recommendations on design and implementation of multimodal charging stations. The research team reviewed previous reports, evaluated a
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Trendowski, J., Jost, K., Held, M., LaRue, M., Johnson, C., Yap, B., Fernando, C., & Chauhan, B. (2024). Multimodal Airport Charging Station Deployment – Phase I (Report No. SPR-1742). Michigan. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/78146
Trendowski, John, Kelly Jost, Mia Held, Matthew LaRue, Corey Johnson, Basil Yap, Chris Fernando, and Bhoomin Chauhan. Multimodal Airport Charging Station Deployment – Phase I. Report no. SPR-1742. Michigan. Department of Transportation, 2024. https://rosap.ntl.bts.gov/view/dot/78146.
Trendowski, John, et al. Multimodal Airport Charging Station Deployment – Phase I. Michigan. Department of Transportation, 2024, Report no. SPR-1742, ROSA P. https://rosap.ntl.bts.gov/view/dot/78146.
In 2020, the Colorado Department of Transportation (CDOT), in collaboration with the Colorado Department of Public Health & Environment (CDPHE) Air Pollution Control Division (APCD), began monitoring along a section of Interstate (I) 270 that is slated for roadway construction. Specifically, five types of non-regulatory supplemental and information
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Kolesar, K. R. (2024). Assessing the Suitability of Non-Regulatory Sensors for Particulate Matter Measurements in Transportation Applications (Report No. CDOT-2024-09). Colorado. Dept. of Transportation. Applied Research and Innovation Branch. https://rosap.ntl.bts.gov/view/dot/77592
Kolesar, Katheryn R. Assessing the Suitability of Non-Regulatory Sensors for Particulate Matter Measurements in Transportation Applications. Report no. CDOT-2024-09. Colorado. Dept. of Transportation. Applied Research and Innovation Branch, 2024. https://rosap.ntl.bts.gov/view/dot/77592.
Kolesar, Katheryn R Assessing the Suitability of Non-Regulatory Sensors for Particulate Matter Measurements in Transportation Applications. Colorado. Dept. of Transportation. Applied Research and Innovation Branch, 2024, Report no. CDOT-2024-09, ROSA P. https://rosap.ntl.bts.gov/view/dot/77592.
The current research project aimed to evaluate the necessary elements for creating a data management platform for the FDOT districts. To achieve the project objectives, a statewide survey was developed and disseminated to each district in Florida and the findings were used to summarize best practices and areas of opportunity. The literature review
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Abdel-Aty, M., Barbour, N., & Sevim, A. (2024). Developing Data Sources and Standards for Supporting Arterial TSM&O Implementation of the Statewide Arterial Management Program (STAMP). Florida. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/88422
Abdel-Aty, Mohamed, Natalia Barbour, and Alican Sevim. Developing Data Sources and Standards for Supporting Arterial TSM&O Implementation of the Statewide Arterial Management Program (STAMP). Florida. Department of Transportation, 2024. https://rosap.ntl.bts.gov/view/dot/88422.
Abdel-Aty, Mohamed, et al. Developing Data Sources and Standards for Supporting Arterial TSM&O Implementation of the Statewide Arterial Management Program (STAMP). Florida. Department of Transportation, 2024, ROSA P. https://rosap.ntl.bts.gov/view/dot/88422.
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis
2024-08-01
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Traffic Safety Facts
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From 2013 to 2022 there were 976 fatal school-transportation-related traffic crashes, and 1,082 people of all ages were killed in those crashes-an average of 108 fatalities per year. A school-transportation-related motor vehicle traffic crash directly or indirectly involves a school transportation vehicle that is either a school bus body type or a
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United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis (2024). Traffic Safety Facts 2013-2022 Data: School-Transportation-Related Traffic Crashes (Report No. DOT HS 813 600). United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis. https://rosap.ntl.bts.gov/view/dot/77529
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis. Traffic Safety Facts 2013-2022 Data: School-Transportation-Related Traffic Crashes. Report no. DOT HS 813 600. United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis, 2024. https://rosap.ntl.bts.gov/view/dot/77529.
United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis Traffic Safety Facts 2013-2022 Data: School-Transportation-Related Traffic Crashes. United States. Department of Transportation. National Highway Traffic Safety Administration. National Center for Statistics and Analysis, 2024, Report no. DOT HS 813 600, ROSA P. https://rosap.ntl.bts.gov/view/dot/77529.
A June 2023–June 2024 study of a Smart Chloride System, intended to manage road salt runoff at Maine DOT sites, failed to meet EPA standards and increased chloride concentrations, worsening water quality. Findings suggest that retaining and slowly releasing salt is ineffective, and that a dilution strategy, while potentially viable at some sites, i
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Ballestero, Thomas P. and Daniel Macadam. Maine Smart Chloride System. University of New Hampshire Stormwater Center, 2024. https://rosap.ntl.bts.gov/view/dot/92261.
Ballestero, Thomas P., and Daniel Macadam Maine Smart Chloride System. University of New Hampshire Stormwater Center, 2024, ROSA P. https://rosap.ntl.bts.gov/view/dot/92261.
This project aims to enhance traffic safety by developing an Artificial Intelligence (AI) model and the weather interpolation method to evaluate snow cover conditions on road surfaces using existing roadside Closed-Circuit Television system (CCTV) images in non-Road Weather Information System (RWIS) locations. Snow- cover significantly impacts traf
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Jiang, G., Kuang, B., Shi, Z., Ma, Z., & Chen, J. (2024). Snow Plow Performance Measures in Non-RWIS Locations (Report No. UT-25.02). Utah. Dept. of Transportation. Division of Research. https://rosap.ntl.bts.gov/view/dot/79412
Jiang, Gang, Biao Kuang, Zhenhua Shi, Zhihao Ma, and Jianli Chen. Snow Plow Performance Measures in Non-RWIS Locations. Report no. UT-25.02. Utah. Dept. of Transportation. Division of Research, 2024. https://rosap.ntl.bts.gov/view/dot/79412.
Jiang, Gang, et al. Snow Plow Performance Measures in Non-RWIS Locations. Utah. Dept. of Transportation. Division of Research, 2024, Report no. UT-25.02, ROSA P. https://rosap.ntl.bts.gov/view/dot/79412.
This project explores the development and optimization of predictive models for the resilient modulus (MR) of subgrade soil using advanced machine learning techniques. Comprehensive data from INDOT spanning several years was analyzed to enhance the accuracy of MR predictions. The study not only refined the modeling approach through statistical meth
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Khoshnevisan, S., Norouzi, M., & Sadik, L. (2024). Use of Machine Learning Methods to Obtain a Reliable Predictive Model for Resilient Modulus of Subgrade Soil (Report No. FHWA/IN/JTRP-2024/27). Purdue University. Joint Transportation Research Program. https://doi.org/10.5703/1288284317768
Khoshnevisan, Sara, Mehdi Norouzi, and Laith Sadik. Use of Machine Learning Methods to Obtain a Reliable Predictive Model for Resilient Modulus of Subgrade Soil. Report no. FHWA/IN/JTRP-2024/27. Purdue University. Joint Transportation Research Program, 2024. https://doi.org/10.5703/1288284317768.
Khoshnevisan, Sara, et al. Use of Machine Learning Methods to Obtain a Reliable Predictive Model for Resilient Modulus of Subgrade Soil. Purdue University. Joint Transportation Research Program, 2024, Report no. FHWA/IN/JTRP-2024/27, ROSA P. https://doi.org/10.5703/1288284317768.
The reliability of a microsimulation model such as VISSIM depends on proper calibration and validation to accurately represent real-world traffic conditions. However, the VISSIM default values do not apply to local traffic conditions and need to be calibrated for local traffic conditions considering the higher number of car-following parameters. He
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Golias, M. M., Mishra, S., Dey, K., Samani, A. R., Ashraf, M. T., Khan, I., Prakash, J., & Kar, P. (2024). Identification of Simulation Calibration Parameters Using Urban Freeway Data (Report No. RES2023-10). Tennessee. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/80484
Golias, Mihalis M., Sabyasachee Mishra, Kakan Dey, Ali Riahi Samani, Md. Tanvir Ashraf, Israt Khan, Jaya Prakash, and Pranab Kar. Identification of Simulation Calibration Parameters Using Urban Freeway Data. Report no. RES2023-10. Tennessee. Department of Transportation, 2024. https://rosap.ntl.bts.gov/view/dot/80484.
Golias, Mihalis M., et al. Identification of Simulation Calibration Parameters Using Urban Freeway Data. Tennessee. Department of Transportation, 2024, Report no. RES2023-10, ROSA P. https://rosap.ntl.bts.gov/view/dot/80484.
The purpose of this project was to conduct a gap analysis that examined the needs of LIMMS users from system design and functionality to security. The analysis took into consideration the multiple platforms used by MassDOT currently for material and contract management. During the project, feedback was obtained from MassDOT users via private meetin
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Tessier, R. (2024). Laboratory Information Materials Management System (LIMMS) Development Planning (Report No. 24-052). Massachusetts. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/75766
Tessier, Russell. Laboratory Information Materials Management System (LIMMS) Development Planning. Report no. 24-052. Massachusetts. Department of Transportation, 2024. https://rosap.ntl.bts.gov/view/dot/75766.
Tessier, Russell Laboratory Information Materials Management System (LIMMS) Development Planning. Massachusetts. Department of Transportation, 2024, Report no. 24-052, ROSA P. https://rosap.ntl.bts.gov/view/dot/75766.
This research performed the following activities:• Conducted a needs assessment of Texas rural and small urban public transit systems to better understand their cost management needs, what cost management topics are most critical, and what format of training materials would be the most helpful to rural and small urban transit managers.• Conducted a
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Walk, M. J., Edrington, S., Etminani-Ghasrodashti, R., Blume, K., Rodman, W., Hessami, A. R., Cardenas, J., Hansen, T., Overman, J., & Tung, L. W. (2024). Develop Guidebook for Managing System Costs: Operational and Capital Cost Management at Rural and Small Urban Public Transit Systems [Project Summary Report] (Report No. 0-7133). Texas Transportation Institute. Texas A&M University. https://rosap.ntl.bts.gov/view/dot/91832
Walk, Michael J., Suzie Edrington, Roya Etminani-Ghasrodashti, Kelly Blume, Will Rodman, Amir R. Hessami, James Cardenas, Todd Hansen, John Overman, and Li-Wei Tung. Develop Guidebook for Managing System Costs: Operational and Capital Cost Management at Rural and Small Urban Public Transit Systems [Project Summary Report]. Report no. 0-7133. Texas Transportation Institute. Texas A&M University, 2024. https://rosap.ntl.bts.gov/view/dot/91832.
Walk, Michael J., et al. Develop Guidebook for Managing System Costs: Operational and Capital Cost Management at Rural and Small Urban Public Transit Systems [Project Summary Report]. Texas Transportation Institute. Texas A&M University, 2024, Report no. 0-7133, ROSA P. https://rosap.ntl.bts.gov/view/dot/91832.
The service life of steel bridge coatings in Florida is occasionally shorter than the intended design life, resulting in the need for increased maintenance painting. This project examined the value of warranty terms potentially included in painting contracts to improve the quality and durability of steel bridge coatings. The research found that the
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Padilla, F., Ault, P., & Shoyer, F. (2024). Steel Bridge Coating and Recoating Warranty Requirements. Florida. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/84551
Padilla, Felix, Pete Ault, and Frederick Shoyer. Steel Bridge Coating and Recoating Warranty Requirements. Florida. Department of Transportation, 2024. https://rosap.ntl.bts.gov/view/dot/84551.
Padilla, Felix, et al. Steel Bridge Coating and Recoating Warranty Requirements. Florida. Department of Transportation, 2024, ROSA P. https://rosap.ntl.bts.gov/view/dot/84551.
Recently, a precast concrete bridge barrier with unique connection details for barrier-to-deck and barrier-to-barrier interfaces was developed at the Institute of Transportation (InTrans)-Iowa State University (ISU) for ABC applications. Successful laboratory quasi-static tests led to the current study, in which the primary objectives were to deter
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Faller, R. K., Bielenberg, R. W., Steelman, J. S., Sritharan, S., Phares, B., Rasmussen, J. D., Yosef, T. Y., Rosenbaugh, S. K., Loken, A. E., Shafei, B., Vakili, A., & Saini, D. (2024). Investigation, Crash Testing, and Evaluation of a MASH TL-4 Precast Concrete Bridge Rail (Report No. TRP-03-476-24). Midwest Roadside Safety Facility. https://rosap.ntl.bts.gov/view/dot/77431
Faller, Ronald K., Robert W. Bielenberg, Joshua S. Steelman, Sri Sritharan, Brent Phares, Jennifer D. Rasmussen, and Tewodros Y Yosef, et al.. Investigation, Crash Testing, and Evaluation of a MASH TL-4 Precast Concrete Bridge Rail. Report no. TRP-03-476-24. Midwest Roadside Safety Facility, 2024. https://rosap.ntl.bts.gov/view/dot/77431.
Faller, Ronald K., et al. Investigation, Crash Testing, and Evaluation of a MASH TL-4 Precast Concrete Bridge Rail. Midwest Roadside Safety Facility, 2024, Report no. TRP-03-476-24, ROSA P. https://rosap.ntl.bts.gov/view/dot/77431.
This report describes a process for estimating AADT on non-Federal-Aid public roads (collectively called “off-system” roads) in Idaho. This will provide additional data for ITD and regional and local transportation agencies to conduct analysis, and it will meet new federal requirements for estimating AADT on all public roads. The report includes a
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Egge, M., & Miller, B. C. (2024). Off-System Public Roads Annual Average Daily Traffic (AADT) Estimation and Validation Tools: Literature Review and Research Report (Report No. FHWA-ID-24-314). Idaho Transportation Department. https://rosap.ntl.bts.gov/view/dot/90136
Egge, Mark and Bryce C. Miller. Off-System Public Roads Annual Average Daily Traffic (AADT) Estimation and Validation Tools: Literature Review and Research Report. Report no. FHWA-ID-24-314. Idaho Transportation Department, 2024. https://rosap.ntl.bts.gov/view/dot/90136.
Egge, Mark, and Bryce C. Miller Off-System Public Roads Annual Average Daily Traffic (AADT) Estimation and Validation Tools: Literature Review and Research Report. Idaho Transportation Department, 2024, Report no. FHWA-ID-24-314, ROSA P. https://rosap.ntl.bts.gov/view/dot/90136.
To facilitate bridge management decision-making and implement preventive maintenance strategies, we endeavor to develop a machine learning model to predict the future condition rating of bridges using historical inspection data, with a funding contract with Connecticut State's Department of Transportation. We collect the data from the USA's Nationa
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Fang, F. C., JimenezGil, D., Xu, P., & Kazemzadeh, M. (2024). Artificial Intelligence (AI) and Markov Process Based Data Mining on Predicting Bridge Operating Conditions (Report No. CT-2322-F-24-1). Connecticut. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/83075
Fang, F Clara, Daniel JimenezGil, Peter Xu, and Mohammadrahim Kazemzadeh. Artificial Intelligence (AI) and Markov Process Based Data Mining on Predicting Bridge Operating Conditions. Report no. CT-2322-F-24-1. Connecticut. Department of Transportation, 2024. https://rosap.ntl.bts.gov/view/dot/83075.
Fang, F Clara, et al. Artificial Intelligence (AI) and Markov Process Based Data Mining on Predicting Bridge Operating Conditions. Connecticut. Department of Transportation, 2024, Report no. CT-2322-F-24-1, ROSA P. https://rosap.ntl.bts.gov/view/dot/83075.
This report summarizes the state-of-practice in the evaluation, design, and implementation of chemical subgrade stabilization. Four Tennessee soils (two A-6 and two A-7-6) were obtained and mix designs were prepared to provide examples of the testing required for chemical stabilization. The stabilized soils met the design unconfined strength criter
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VandenBerge, D. R., Mohr, B. J., Chakraborty, S., & Asamany, H. (2024). Chemical Subgrade Stabilization of Tennessee Soils – Recommended Practices (Report No. RES2023-13). Tennessee. Department of Transportation. https://rosap.ntl.bts.gov/view/dot/77852
VandenBerge, Daniel R, Benjamin J Mohr, Shushanta Chakraborty, and Henry Asamany. Chemical Subgrade Stabilization of Tennessee Soils – Recommended Practices. Report no. RES2023-13. Tennessee. Department of Transportation, 2024. https://rosap.ntl.bts.gov/view/dot/77852.
VandenBerge, Daniel R, et al. Chemical Subgrade Stabilization of Tennessee Soils – Recommended Practices. Tennessee. Department of Transportation, 2024, Report no. RES2023-13, ROSA P. https://rosap.ntl.bts.gov/view/dot/77852.
This research assesses the design and track operation of a track crawler robot (TCR) for practical and easy inspection of stationary railcars’ undercarriages in an effort to detect any pending failures or assess any security risk of out-of-sight objects. The TCR includes a drive system consisting of two AC motors that operate a track (like tank tra
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Ahmadian, M., & Kasch, J. M. (2024). Design and Operational Assessment of a Railroad Track Robot for Railcar Undercarriage Condition Inspection [Article]. MDPI. https://doi.org/10.3390/designs8040070
Ahmadian, Mehdi and James M Kasch. Design and Operational Assessment of a Railroad Track Robot for Railcar Undercarriage Condition Inspection [Article]. MDPI, 2024. https://doi.org/10.3390/designs8040070.
Ahmadian, Mehdi, and James M Kasch Design and Operational Assessment of a Railroad Track Robot for Railcar Undercarriage Condition Inspection [Article]. MDPI, 2024, ROSA P. https://doi.org/10.3390/designs8040070.
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