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Showing 81 - 100 of 298 results

Comparing Merging Behaviors of Drivers with Vehicles Equipped with Level 3 Automation and Connected Messaging when Merging in a Mixed Vehicle Fleet Environment of Various Traffic Densities

Calvo, Jose

;

Svancara, Austin

2025-11-01 | PDF

As the number of vehicles equipped with automated driving systems (ADS) that are using cooperative driving automation (CDA) technology to communicate safety messages are anticipated to increase in the future, maintaining the safety and efficient operation of roadways is important. ADS-equipped vehicles and CDA technology need to operate smoothly an ...

12/15/2025

Title : Comparing Merging Behaviors of Drivers with Vehicles Equipped with Level 3 Automation and Connected Messaging when Merging in a Mixed Vehicle Fleet Environment of Various Traffic Densities Creator(s) : Calvo, Jose;Svancara, Austin;Chao, Szu-Fu;Lee, Yi-Ching;Jannat, Mafruhatul;Arnold, Michelle; Corporate Creator(s) : Leidos, Inc. Corporate Contributor(s) : United States. Federal Highway Administration. Office of Safety and Operations Research and Development Published Date : 2025-11-01 Report Number : FHWA-HRT-25-051 URL : https://rosap.ntl.bts.gov/view/dot/88184 Calvo, Jose et al. (2025). Comparing Merging Behaviors of Drivers with Vehicles Equipped with Level 3 Automation and Connected Messaging when Merging in a Mixed Vehicle Fleet Environment of Various Traffic Densities. Calvo, Jose et al. "Comparing Merging Behaviors of Drivers with Vehicles Equipped with Level 3 Automation and Connected Messaging when Merging in a Mixed Vehicle Fleet Environment of Various Traffic Densities" (2025) Calvo, Jose et al. "Comparing Merging Behaviors of Drivers with Vehicles Equipped with Level 3 Automation and Connected Messaging when Merging in a Mixed Vehicle Fleet Environment of Various Traffic Densities" , 2025 Export RIS Citation Information. TY - Tech Report AU - Calvo, Jose AU - Svancara, Austin AU - Chao, Szu-Fu AU - Lee, Yi-Ching AU - Jannat, Mafruhatul AU - Arnold, Michelle A2 - Leidos, Inc. A3 - United States. Federal Highway Administration. Office of Safety and Operations Research and Development A4 - Arnold, Michelle AB - As the number of vehicles equipped with automated driving systems (ADS) that are using cooperative driving automation (CDA) technology to communicate safety messages are anticipated to increase in the future, maintaining the safety and efficient operation of roadways is important. ADS-equipped vehicles and CDA technology need to operate smoothly and safely with other vehicles under all typical driving scenarios, especially scenarios that are common but high risk, such as lane changes and merging. Merging onto highways from onramp locations is a safety-critical scenario that has the potential to create traffic bottlenecks. The current study used a driving simulator to assess the potential of ADS and CDA technology to increase the safety and efficiency of onramp merge scenarios. The research team manipulated automation levels and communication between vehicles, in addition to platoon size. The researchers measured driver gap acceptance, braking, and trust in the ADSs and CDA systems. The results of this study show some evidence that when merging, some driver safety behaviors may be influenced by the use of L3 automation and by communication between vehicles, especially when merging with increased platoon sizes. However, subjective measures indicated that participants may have been unclear about what features were active while in the simulation, and some incongruity occurred between the participants’ expectations and how the vehicle behaved. The results of this research can be used to provide insights into how willing drivers may be to accept this kind of technology and what their level of comfort could be with using these new technologies. AN - dot:88184 ET - Final Report KW - Merging area KW - Automated vehicle control KW - Vehicle mix KW - Traffic density LA - English PB - United States. Federal Highway Administration. Office of Safety and Operations Research and Development PY - 2025-11-01 SN - FHWA-HRT-25-051 TI - Comparing Merging Behaviors of Drivers with Vehicles Equipped with Level 3 Automation and Connected Messaging when Merging in a Mixed Vehicle Fleet Environment of Various Traffic Densities M3 - Tech Report N1 - United States N1 - 693JJ319D000012 N1 - Public Domain UR - https://rosap.ntl.bts.gov/view/dot/88184 ER -
Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 10, Data Complete Through 12/5/2025

United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information

2025-12-10 | Special Issue - Weekly Motor Fuel Report | PDF

The Gasoline Product Supplied report offers insight on weekly fluctuation of the gasoline product supply, which is an important part of any analysis of construction trends, materials and operating costs associated with highway repair and construction, and changes in traffic volume. These data come directly from the Energy Information Administration ...

12/15/2025

Title : Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 10, Data Complete Through 12/5/2025 Corporate Creator(s) : United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information Published Date : 2025-12-10 Series : Special Issue - Weekly Motor Fuel Report URL : https://rosap.ntl.bts.gov/view/dot/88183 United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information (2025). Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 10, Data Complete Through 12/5/2025. United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information "Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 10, Data Complete Through 12/5/2025" (2025) United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information "Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 10, Data Complete Through 12/5/2025" , 2025 Export RIS Citation Information. TY - Statistical Report A2 - United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information AB - The Gasoline Product Supplied report offers insight on weekly fluctuation of the gasoline product supply, which is an important part of any analysis of construction trends, materials and operating costs associated with highway repair and construction, and changes in traffic volume. These data come directly from the Energy Information Administration (EIA) website. The EIA publishes the average daily amount of gasoline supplied in barrels, which HPPI converts to an average number of gallons of gasoline per week. AN - dot:88183 KW - Fuel consumption KW - Gasoline KW - Supply KW - Traffic volume KW - Data collection KW - Data analysis LA - English PB - United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information PY - 2025-12-10 T2 - Special Issue - Weekly Motor Fuel Report TI - Special Issue - Weekly Motor Fuel Report: Gasoline Product Supplied for Fiscal Year Week No. 10, Data Complete Through 12/5/2025 M3 - Statistical Report N1 - United States N1 - Public Domain UR - https://rosap.ntl.bts.gov/view/dot/88183 ER -
SEAHIVE® Solutions to Mitigate Bridge Scour – Phase II

Naznni, Antonio ;

Barbarigos, Landolf

2025-10-15 | PDF

This study investigates the structural performance of internally prestressed concrete (PC) SEAHIVE® units as part of an ongoing effort to mitigate bridge scour and improve coastal resilience with green-gray technologies. Unlike Phase I of this research, which focused on wet-cast and externally wrapped dry-cast concrete SEAHIVE® units tested under p ...

12/15/2025

Title : SEAHIVE® Solutions to Mitigate Bridge Scour – Phase II Creator(s) : Naznni, Antonio;Barbarigos, Landolf; Corporate Creator(s) : University of Miami Corporate Contributor(s) : CREATE - Coastal REsearch And Transportation Education;United States. Department of Transportation. University Transportation Centers (UTC) Program;United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology; Published Date : 2025-10-15 Report Number : 2301-3 URL : https://rosap.ntl.bts.gov/view/dot/88182 Naznni, Antonio and Barbarigos, Landolf (2025). SEAHIVE® Solutions to Mitigate Bridge Scour – Phase II. Naznni, Antonio and Barbarigos, Landolf "SEAHIVE® Solutions to Mitigate Bridge Scour – Phase II" (2025) Naznni, Antonio and Barbarigos, Landolf "SEAHIVE® Solutions to Mitigate Bridge Scour – Phase II" , 2025 Export RIS Citation Information. TY - Tech Report AU - Naznni, Antonio AU - Barbarigos, Landolf A2 - University of Miami A3 - CREATE - Coastal REsearch And Transportation Education A3 - United States. Department of Transportation. University Transportation Centers (UTC) Program A3 - United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology AB - This study investigates the structural performance of internally prestressed concrete (PC) SEAHIVE® units as part of an ongoing effort to mitigate bridge scour and improve coastal resilience with green-gray technologies. Unlike Phase I of this research, which focused on wet-cast and externally wrapped dry-cast concrete SEAHIVE® units tested under pure compression and four-point bending, the present work introduces internal pre-tensioned GFRP reinforcement to improve mechanical characteristics and serviceability by delaying crack formation and decreasing their width. PC SEAHIVE® units were designed and fabricated with six GFRP bars to provide adequate prestress. The experimental program comprised standardized material characterization and full-size structural testing, including four-point bending of perforated SEAHIVE® elements. Results demonstrated that pretensioning effectively increased the cracking load, delayed diagonal cracking, and reduced crack widths, particularly at midspan where prestress transfer was fully developed. Finite element simulations using Abaqus Concrete Damaged Plasticity (CDP) models further validated the observed behaviors and were able to capture flexure–shear cracking patterns while highlighting the influence of perforations. AN - dot:88182 ET - Final Project Report 6/01/2024-05/31/2025 KW - Bridge design KW - Bridge foundations KW - Concrete KW - Erosion KW - Glass fiber reinforced concrete KW - Scour LA - English PB - CREATE - Coastal REsearch And Transportation Education PY - 2025-10-15 SN - 2301-3 TI - SEAHIVE® Solutions to Mitigate Bridge Scour – Phase II M3 - Tech Report N1 - United States N1 - 69A3552348330 UR - https://rosap.ntl.bts.gov/view/dot/88182 ER -
CREATE: University of Miami’s National Summer Transportation Institute (UM NSTI)

Wenke, Thomas ;

Ghahremaninezhad, Ali

2025-08-31 | PDF

The University of Miami hosted the NSTI program to encourage the younger generations into the STEM disciplines and coastal transportation infrastructure. Activities included lectures, laboratory hands-on activities, and fun competitions related to coastal transportation infrastructure. Participants engaged in science rich activities, and develop cr ...

12/15/2025

Title : CREATE: University of Miami’s National Summer Transportation Institute (UM NSTI) Creator(s) : Wenke, Thomas;Ghahremaninezhad, Ali; Corporate Creator(s) : University of Miami Corporate Contributor(s) : CREATE - Coastal REsearch And Transportation Education;United States. Department of Transportation. University Transportation Centers (UTC) Program;United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology; Published Date : 2025-08-31 Report Number : 2301-4 URL : https://rosap.ntl.bts.gov/view/dot/88181 Wenke, Thomas and Ghahremaninezhad, Ali (2025). CREATE: University of Miami’s National Summer Transportation Institute (UM NSTI). Wenke, Thomas and Ghahremaninezhad, Ali "CREATE: University of Miami’s National Summer Transportation Institute (UM NSTI)" (2025) Wenke, Thomas and Ghahremaninezhad, Ali "CREATE: University of Miami’s National Summer Transportation Institute (UM NSTI)" , 2025 Export RIS Citation Information. TY - Tech Report AU - Wenke, Thomas AU - Ghahremaninezhad, Ali A2 - University of Miami A3 - CREATE - Coastal REsearch And Transportation Education A3 - United States. Department of Transportation. University Transportation Centers (UTC) Program A3 - United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology AB - The University of Miami hosted the NSTI program to encourage the younger generations into the STEM disciplines and coastal transportation infrastructure. Activities included lectures, laboratory hands-on activities, and fun competitions related to coastal transportation infrastructure. Participants engaged in science rich activities, and develop critical thinking, teamwork, and career development skills. AN - dot:88181 ET - Final Project Report 6/01/24-5/31/25 KW - Climate change KW - Coastal engineering KW - Education and training KW - Erosion KW - Floods KW - STEM LA - English PB - CREATE - Coastal REsearch And Transportation Education PY - 2025-08-31 SN - 2301-4 TI - CREATE: University of Miami’s National Summer Transportation Institute (UM NSTI) M3 - Tech Report N1 - United States N1 - 69A3552348330 UR - https://rosap.ntl.bts.gov/view/dot/88181 ER -
Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements

Wang, Feng

;

Sanchez, Carlos

2025-08-31 | PDF

With the recent federal legislation approval of the funding of the United States’s infrastructure, investment into transportation research has prompted the implementation of new technologies to advance the data collection and evaluation methods for transportation asset management. As departments of transportation (DOTs) upgrade their equipment to u ...

12/15/2025

Title : Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements Creator(s) : Wang, Feng;Sanchez, Carlos;Bai, Yongsheng;Luo, Xiaohua; Corporate Creator(s) : Texas State University--San Marcos Corporate Contributor(s) : CREATE - Coastal REsearch And Transportation Education;United States. Department of Transportation. University Transportation Centers (UTC) Program;United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology; Published Date : 2025-08-31 Report Number : 2301-6 URL : https://rosap.ntl.bts.gov/view/dot/88180 Wang, Feng et al. (2025). Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements. Wang, Feng et al. "Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements" (2025) Wang, Feng et al. "Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements" , 2025 Export RIS Citation Information. TY - Tech Report AU - Wang, Feng AU - Sanchez, Carlos AU - Bai, Yongsheng AU - Luo, Xiaohua A2 - Texas State University--San Marcos A3 - CREATE - Coastal REsearch And Transportation Education A3 - United States. Department of Transportation. University Transportation Centers (UTC) Program A3 - United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology AB - With the recent federal legislation approval of the funding of the United States’s infrastructure, investment into transportation research has prompted the implementation of new technologies to advance the data collection and evaluation methods for transportation asset management. As departments of transportation (DOTs) upgrade their equipment to utilize these technologies, a higher standard for the quality of highway infrastructure across the states has raised concerns for an improvement in traffic safety and efficient maintenance and rehabilitation of the roadways. This is essential for pavements in locations where surface distresses are developed at a higher rate, such as coastal regions due to rapid development and extreme weather phenomena being more frequent and intensive. State DOTs have adopted the use of automated pavement data collection and condition evaluation. However, the inadequate accuracy of the existing automated technology has led to erroneous distress measurements and inconsistent manual intervention approaches for pavement engineers to assess the surface damage of the pavements after data collection to establish more reliable analyses of the performances. With the recent advancements in artificial intelligence and deep learning, progress towards more accurate and efficient detection algorithms has provided possibilities of better data quality to monitor the surface condition of the pavements. Due to these new technologies, 2D/3D pavement images can be analyzed with improved accuracy for more efficient detection of pavement distresses such as cracks caused by various factors like environment, weather, age, and traffic loading. In this study, 2D/3D images were collected from pavements in the coastal regions in the states of Louisiana, Mississippi, and Texas. AN - dot:88180 ET - Final Project Report 09/01/2023-8/31/2025 KW - Algorithms KW - Artificial intelligence KW - Automatic data collection systems KW - Coasts KW - Machine learning KW - Pavement maintenance KW - Data files LA - English PB - CREATE - Coastal REsearch And Transportation Education PY - 2025-08-31 SN - 2301-6 TI - Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements M3 - Tech Report N1 - United States N1 - 69A3552348330 UR - https://rosap.ntl.bts.gov/view/dot/88180 ER -
Composite Mangroves for Reducing Soil Erosion near Transportation Infrastructure

Kumar, Ayush

;

Puppala, Anand J.

2025-08-31 | PDF

The intensification of coastal stressors and rising coastal urbanization necessitate innovative alternatives to conventional hard engineering structures for coastal embankment protection. While mangrove ecosystems demonstrate proven capabilities for attenuating wave energy, their effectiveness in protecting coastal transportation infrastructure rem ...

12/15/2025

Title : Composite Mangroves for Reducing Soil Erosion near Transportation Infrastructure Creator(s) : Kumar, Ayush;Puppala, Anand J.; Corporate Creator(s) : Texas A&M Transportation Institute Corporate Contributor(s) : CREATE - Coastal REsearch And Transportation Education;United States. Department of Transportation. University Transportation Centers (UTC) Program;United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology; Published Date : 2025-08-31 Report Number : 2301-5 URL : https://rosap.ntl.bts.gov/view/dot/88179 Kumar, Ayush and Puppala, Anand J. (2025). Composite Mangroves for Reducing Soil Erosion near Transportation Infrastructure. Kumar, Ayush and Puppala, Anand J. "Composite Mangroves for Reducing Soil Erosion near Transportation Infrastructure" (2025) Kumar, Ayush and Puppala, Anand J. "Composite Mangroves for Reducing Soil Erosion near Transportation Infrastructure" , 2025 Export RIS Citation Information. TY - Tech Report AU - Kumar, Ayush AU - Puppala, Anand J. A2 - Texas A&M Transportation Institute A3 - CREATE - Coastal REsearch And Transportation Education A3 - United States. Department of Transportation. University Transportation Centers (UTC) Program A3 - United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology AB - The intensification of coastal stressors and rising coastal urbanization necessitate innovative alternatives to conventional hard engineering structures for coastal embankment protection. While mangrove ecosystems demonstrate proven capabilities for attenuating wave energy, their effectiveness in protecting coastal transportation infrastructure remains inadequately understood. This study evaluated nature-inspired artificial mangrove systems for mitigating incoming wave energy and reducing coastal embankment erosion through laboratory-scale experimentation and numerical modeling. A comparative investigation between control and mangrove-protected embankment configurations under identical hydrodynamic loading was performed in a wave flume facility at Texas A&M University, Galveston. Artificial mangroves replicated characteristics of Rhizophora mangle (red mangrove) at a 1:15 geometric scale, incorporating trunk-root systems in staggered arrangements. Progressive wave cycles simulated storm intensification by increasing wave parameters. Free surface elevation was monitored using capacitance-type wave gauges, while laser scanning systems measured the temporal evolution of the embankment profile. AN - dot:88179 ET - Final Project Report 9/01/2023-8/31/2025 KW - Data files KW - Coast and river protective works KW - Coastal engineering KW - Composite structures KW - Erosion control LA - English PB - CREATE - Coastal REsearch And Transportation Education PY - 2025-08-31 SN - 2301-5 TI - Composite Mangroves for Reducing Soil Erosion near Transportation Infrastructure M3 - Tech Report N1 - United States N1 - 69A3552348330 UR - https://rosap.ntl.bts.gov/view/dot/88179 ER -
Composite Mangroves for Reducing Soil Erosion near Transportation Infrastructure [supporting dataset]

Kumar, Ayush

;

Puppala, Anand J.

2025-09-08 | ZIP

This dataset consists of raw data for the wave gauge and the eroded profile for the test conducted at TAMU Galveston.The total size of the ZIP file is 81,827 KB

12/15/2025

Supporting Files

Title : Composite Mangroves for Reducing Soil Erosion near Transportation Infrastructure [supporting dataset] Creator(s) : Kumar, Ayush;Puppala, Anand J.; Corporate Creator(s) : Texas A&M Transportation Institute Corporate Contributor(s) : CREATE - Coastal REsearch And Transportation Education;United States. Department of Transportation. University Transportation Centers (UTC) Program;United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology; Published Date : 2025-09-08 DOI : https://doi.org/10.5281/zenodo.17079709 Kumar, Ayush and Puppala, Anand J. (2025). Composite Mangroves for Reducing Soil Erosion near Transportation Infrastructure [supporting dataset]. https://doi.org/10.5281/zenodo.17079709 Kumar, Ayush and Puppala, Anand J. "Composite Mangroves for Reducing Soil Erosion near Transportation Infrastructure [supporting dataset]" (2025), https://doi.org/10.5281/zenodo.17079709 Kumar, Ayush and Puppala, Anand J. "Composite Mangroves for Reducing Soil Erosion near Transportation Infrastructure [supporting dataset]" , 2025, https://doi.org/10.5281/zenodo.17079709 Export RIS Citation Information. TY - Dataset AU - Kumar, Ayush AU - Puppala, Anand J. A2 - Texas A&M Transportation Institute A3 - CREATE - Coastal REsearch And Transportation Education A3 - United States. Department of Transportation. University Transportation Centers (UTC) Program A3 - United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology AB - This dataset consists of raw data for the wave gauge and the eroded profile for the test conducted at TAMU Galveston. AB - The total size of the ZIP file is 81,827 KB AB - This item is made available under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/. Use the following citation: Kumar, A., & Puppala, A. (2025). CREATE UTC - Composite Mangroves for Reducing Soil Erosion near Transportation Infrastructure [Data set]. Zenodo. https://doi.org/10.5281/zenodo.17079709 AN - dot:88178 DO - https://doi.org/10.5281/zenodo.17079709 KW - Data files KW - Coast and river protective works KW - Coastal engineering KW - Composite structures KW - Erosion control LA - English PB - CREATE - Coastal REsearch And Transportation Education PY - 2025-09-08 TI - Composite Mangroves for Reducing Soil Erosion near Transportation Infrastructure [supporting dataset] M3 - Dataset N1 - United States N1 - 69A3552348330 N1 - Open Access; https://creativecommons.org/licenses/by/4.0/ UR - https://rosap.ntl.bts.gov/view/dot/88178 ER -
Bio-waste Materials as Supplementary Cementitious Materials for Coastal Concrete Applications

Chong, Beng Wei

;

Majumder, Amlan

2025-08-31 | PDF

This study explores the use of agricultural bio-waste such as eggshell powder and sugarcane bagasse ash (SCBA) as sustainable alternatives to cement production. Eggshell powder was evaluated as partial substitutes for limestone filler with and without heat treatment. SCBA, a silica-rich byproduct of sugar production, was investigated for its potent ...

12/15/2025

Title : Bio-waste Materials as Supplementary Cementitious Materials for Coastal Concrete Applications Creator(s) : Chong, Beng Wei;Majumder, Amlan;Shi, Xijun; Corporate Creator(s) : Texas State University--San Marcos Corporate Contributor(s) : CREATE - Coastal REsearch And Transportation Education;United States. Department of Transportation. University Transportation Centers (UTC) Program;United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology; Published Date : 2025-08-31 Report Number : 2301-7 URL : https://rosap.ntl.bts.gov/view/dot/88177 Chong, Beng Wei et al. (2025). Bio-waste Materials as Supplementary Cementitious Materials for Coastal Concrete Applications. Chong, Beng Wei and Majumder, Amlan and Shi, Xijun "Bio-waste Materials as Supplementary Cementitious Materials for Coastal Concrete Applications" (2025) Chong, Beng Wei et al. "Bio-waste Materials as Supplementary Cementitious Materials for Coastal Concrete Applications" , 2025 Export RIS Citation Information. TY - Tech Report AU - Chong, Beng Wei AU - Majumder, Amlan AU - Shi, Xijun A2 - Texas State University--San Marcos A3 - CREATE - Coastal REsearch And Transportation Education A3 - United States. Department of Transportation. University Transportation Centers (UTC) Program A3 - United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology AB - This study explores the use of agricultural bio-waste such as eggshell powder and sugarcane bagasse ash (SCBA) as sustainable alternatives to cement production. Eggshell powder was evaluated as partial substitutes for limestone filler with and without heat treatment. SCBA, a silica-rich byproduct of sugar production, was investigated for its potential as a supplementary cementitious material (SCM) akin to Class F fly ash. Experimental methods included material characterization using SEM, XRD, XRF, TGA, and LOI testing, as well as evaluations of fresh and hardened concrete properties. Results demonstrated that treated eggshell and SCBA samples exhibited favorable morphological and chemical properties for use in blended cement systems. Eggshell powder can be used as an alternative to limestone at lower proportions of inclusion; However, heat treatment is recommended to denature the organic content from eggshell membrane at high proportion of inclusion. Meanwhile, SCBA is a pozzolanic material that can be blended with cement for optimal strength and durability. The findings support the feasibility of incorporating bio-waste into concrete formulations, contributing to sustainability efforts in construction and transportation infrastructure. AN - dot:88177 ET - Final Project Report 9/01/2023-5/31/2025 KW - Biological materials KW - Portland cement concrete KW - Waste products (Materials) KW - eggshell KW - sugarcane bagasse ash KW - fresh properties KW - hardened properties LA - English PB - CREATE - Coastal REsearch And Transportation Education PY - 2025-08-31 SN - 2301-7 TI - Bio-waste Materials as Supplementary Cementitious Materials for Coastal Concrete Applications M3 - Tech Report N1 - United States N1 - 69A3552348330 UR - https://rosap.ntl.bts.gov/view/dot/88177 ER -
Raw Documents of Data (Eggshell Project) [supporting data]

Chong, Beng Wei

;

Majumder, Amlan

2025-08-29 | ZIP

Raw documents of data for eggshell project.The total size of the ZIP file is 87,274 KB.

12/15/2025

Supporting Files

Title : Raw Documents of Data (Eggshell Project) [supporting data] Creator(s) : Chong, Beng Wei;Majumder, Amlan;Shi, Xijun; Corporate Creator(s) : Texas State University--San Marcos Corporate Contributor(s) : CREATE - Coastal REsearch And Transportation Education Published Date : 2025-08-29 DOI : https://doi.org/10.5281/zenodo.16995777 Chong, Beng Wei et al. (2025). Raw Documents of Data (Eggshell Project) [supporting data]. https://doi.org/10.5281/zenodo.16995777 Chong, Beng Wei and Majumder, Amlan and Shi, Xijun "Raw Documents of Data (Eggshell Project) [supporting data]" (2025), https://doi.org/10.5281/zenodo.16995777 Chong, Beng Wei et al. "Raw Documents of Data (Eggshell Project) [supporting data]" , 2025, https://doi.org/10.5281/zenodo.16995777 Export RIS Citation Information. TY - Dataset AU - Chong, Beng Wei AU - Majumder, Amlan AU - Shi, Xijun A2 - Texas State University--San Marcos A3 - CREATE - Coastal REsearch And Transportation Education AB - Raw documents of data for eggshell project. AB - The total size of the ZIP file is 87,274 KB. AB - This item is made available under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/. Use the following citation: Chong, B. W. (2025). Raw documents of data (eggshell project) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.16995777 AN - dot:88176 DO - https://doi.org/10.5281/zenodo.16995777 KW - Biological materials KW - Portland cement concrete KW - Waste products (Materials) KW - Data files LA - English PB - CREATE - Coastal REsearch And Transportation Education PY - 2025-08-29 TI - Raw Documents of Data (Eggshell Project) [supporting data] M3 - Dataset N1 - United States N1 - 69A3552348330 N1 - Open Access; https://creativecommons.org/licenses/by/4.0/ UR - https://rosap.ntl.bts.gov/view/dot/88176 ER -
Data for: Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements [supporting data]

Wang, Feng

;

Sanchez, Carlos

2025-09-11 | DOC

Tables and graphs for deep learning model performance not used in the Coastal REsearch And Transportation Education (CREATE) Report for Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements. These include performance metrics such as precision, recall, and mean average precision at 50% overlap (mAP50) for each model ...

12/15/2025

Supporting Files

Title : Data for: Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements [supporting data] Creator(s) : Wang, Feng;Sanchez, Carlos;Bai, Yongsheng;Luo, Xiaohua; Corporate Creator(s) : Texas State University--San Marcos Corporate Contributor(s) : CREATE - Coastal REsearch And Transportation Education Published Date : 2025-09-11 DOI : https://doi.org/10.5281/zenodo.17095715 Wang, Feng et al. (2025). Data for: Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements [supporting data]. https://doi.org/10.5281/zenodo.17095715 Wang, Feng et al. "Data for: Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements [supporting data]" (2025), https://doi.org/10.5281/zenodo.17095715 Wang, Feng et al. "Data for: Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements [supporting data]" , 2025, https://doi.org/10.5281/zenodo.17095715 Export RIS Citation Information. TY - Dataset AU - Wang, Feng AU - Sanchez, Carlos AU - Bai, Yongsheng AU - Luo, Xiaohua A2 - Texas State University--San Marcos A3 - CREATE - Coastal REsearch And Transportation Education AB - Tables and graphs for deep learning model performance not used in the Coastal REsearch And Transportation Education (CREATE) Report for Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements. These include performance metrics such as precision, recall, and mean average precision at 50% overlap (mAP50) for each model used in the study along with detection rates for each item on the class list. AB - This item is made available under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/. Use the following citation: Wang, F., Bai, Y., & Sanchez, C. (2025). Data for: Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements. Zenodo. https://doi.org/10.5281/zenodo.17095715 AN - dot:88175 DO - https://doi.org/10.5281/zenodo.17095715 KW - Algorithms KW - Artificial intelligence KW - Automatic data collection systems KW - Coasts KW - Machine learning KW - Pavement maintenance KW - Data files LA - English PB - CREATE - Coastal REsearch And Transportation Education PY - 2025-09-11 TI - Data for: Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements [supporting data] M3 - Dataset N1 - United States N1 - 69A3552348330 N1 - Open Access; https://creativecommons.org/licenses/by/4.0/ UR - https://rosap.ntl.bts.gov/view/dot/88175 ER -
Alternatives to Motor Fuel Taxes for State DOT Funding [Technical Summary]

Dunn, Travis P

2025-11-01 | PDF

For decades, motor fuel taxes have served as the primary source of revenue for surface transportation infrastructure at both the federal and state levels in the United States. However, the reliability of this funding mechanism is challenged by declining fuel consumption, driven by advancements in vehicle engine efficiency and the growing consumer s ...

12/15/2025

Title : Alternatives to Motor Fuel Taxes for State DOT Funding [Technical Summary] Creator(s) : Dunn, Travis P Corporate Creator(s) : Louisiana Transportation Research Center Published Date : 2025-11-01 Report Number : LTRC Report 720 URL : https://rosap.ntl.bts.gov/view/dot/88174 Dunn, Travis P (2025). Alternatives to Motor Fuel Taxes for State DOT Funding [Technical Summary]. Dunn, Travis P "Alternatives to Motor Fuel Taxes for State DOT Funding [Technical Summary]" (2025) Dunn, Travis P "Alternatives to Motor Fuel Taxes for State DOT Funding [Technical Summary]" , 2025 Export RIS Citation Information. TY - Brief AU - Dunn, Travis P A2 - Louisiana Transportation Research Center AB - For decades, motor fuel taxes have served as the primary source of revenue for surface transportation infrastructure at both the federal and state levels in the United States. However, the reliability of this funding mechanism is challenged by declining fuel consumption, driven by advancements in vehicle engine efficiency and the growing consumer shift toward alternative fuel and electric vehicles (EVs). In response to this challenge, transportation agencies are seeking alternative sustainable funding solutions. This study conducted a comprehensive review of publicly available literature from the past 15 years in the United States about the evolving landscape of fuel tax alternatives being explored or implemented to support transportation investments. It examines 24 distinct revenue mechanisms grouped into several categories: fuel taxes, vehicle fees, direct and indirect usage fees, externality taxes, and other funding sources. Findings show that states commonly combine multiple approaches to create more resilient and adaptable revenue systems. While each mechanism presents unique challenges, layered strategies reflecting diverse funding sources appear promising for maintaining long-term financial stability in transportation funding. AN - dot:88174 ET - Technical Summary KW - Alternate fuels KW - Cost allocation KW - Fuel taxes KW - Financing KW - State departments of transportation KW - Revenues KW - Electric vehicles KW - Vehicle miles of travel LA - English PB - Louisiana Transportation Research Center PY - 2025-11-01 SN - LTRC Report 720 TI - Alternatives to Motor Fuel Taxes for State DOT Funding [Technical Summary] M3 - Brief N1 - United States N1 - SIO No. DOTLT1000563 LTRC Project No. 25-3PF UR - https://rosap.ntl.bts.gov/view/dot/88174 ER -
Alternatives to Motor Fuel Taxes for State DOT Funding

Dunn, Travis P ;

Alvarado, Roberto

2025-11-01 | PDF

For decades, motor fuel taxes have served as the primary source of revenue for surface transportation infrastructure at both the federal and state levels in the United States. However, the reliability of this funding mechanism is challenged by declining fuel consumption, driven by advancements in vehicle engine efficiency and the growing consumer s ...

12/15/2025

Title : Alternatives to Motor Fuel Taxes for State DOT Funding Creator(s) : Dunn, Travis P;Alvarado, Roberto;Dirks, Abbie C; Corporate Creator(s) : CDM Smith Corporate Contributor(s) : Louisiana. Department of Transportation and Development;United States. Department of Transportation. Federal Highway Administration; Published Date : 2025-11-01 Report Number : FHWA/LA.25/720 URL : https://rosap.ntl.bts.gov/view/dot/88173 Dunn, Travis P et al. (2025). Alternatives to Motor Fuel Taxes for State DOT Funding. Dunn, Travis P and Alvarado, Roberto and Dirks, Abbie C "Alternatives to Motor Fuel Taxes for State DOT Funding" (2025) Dunn, Travis P et al. "Alternatives to Motor Fuel Taxes for State DOT Funding" , 2025 Export RIS Citation Information. TY - Tech Report AU - Dunn, Travis P AU - Alvarado, Roberto AU - Dirks, Abbie C A2 - CDM Smith A3 - Louisiana. Department of Transportation and Development A3 - United States. Department of Transportation. Federal Highway Administration AB - For decades, motor fuel taxes have served as the primary source of revenue for surface transportation infrastructure at both the federal and state levels in the United States. However, the reliability of this funding mechanism is challenged by declining fuel consumption, driven by advancements in vehicle engine efficiency and the growing consumer shift toward alternative fuel and electric vehicles (EVs). In response to this challenge, transportation agencies are seeking alternative sustainable funding solutions. This study conducted a comprehensive review of publicly available literature from the past 15 years in the United States about the evolving landscape of fuel tax alternatives being explored or implemented to support transportation investments. It examines 24 distinct revenue mechanisms grouped into several categories: fuel taxes, vehicle fees, direct and indirect usage fees, externality taxes, and other funding sources. Findings show that states commonly combine multiple approaches to create more resilient and adaptable revenue systems. While each mechanism presents unique challenges, layered strategies reflecting diverse funding sources appear promising for maintaining long-term financial stability in transportation funding. AN - dot:88173 ET - Final Report 04/2025 – 10/2025 KW - Alternate fuels KW - Cost allocation KW - Fuel taxes KW - Financing KW - State departments of transportation KW - Revenues KW - Electric vehicles KW - Vehicle miles of travel LA - English PB - Louisiana Transportation Research Center PY - 2025-11-01 SN - FHWA/LA.25/720 TI - Alternatives to Motor Fuel Taxes for State DOT Funding M3 - Tech Report N1 - United States UR - https://rosap.ntl.bts.gov/view/dot/88173 ER -
Development of a Design Methodology for Geosynthetic Reinforced Pavement Using Finite Element Numerical Modeling [Technical Summary]

Abu-Farsakh, Murad Y.

2025-11-01 | PDF

This study was completed using finite element (FE) analysis to assess the benefits of using geosynthetic reinforcement in flexible pavements. A comprehensive parametric study was performed to determine the effect of different variables like asphalt layer thickness, base thickness, geosynthetic type and stiffness, and subgrade stiffness for low, med ...

12/15/2025

Title : Development of a Design Methodology for Geosynthetic Reinforced Pavement Using Finite Element Numerical Modeling [Technical Summary] Creator(s) : Abu-Farsakh, Murad Y. Corporate Creator(s) : Louisiana Transportation Research Center Published Date : 2025-11-01 Report Number : LTRC Report 718 URL : https://rosap.ntl.bts.gov/view/dot/88172 Abu-Farsakh, Murad Y. (2025). Development of a Design Methodology for Geosynthetic Reinforced Pavement Using Finite Element Numerical Modeling [Technical Summary]. Abu-Farsakh, Murad Y. "Development of a Design Methodology for Geosynthetic Reinforced Pavement Using Finite Element Numerical Modeling [Technical Summary]" (2025) Abu-Farsakh, Murad Y. "Development of a Design Methodology for Geosynthetic Reinforced Pavement Using Finite Element Numerical Modeling [Technical Summary]" , 2025 Export RIS Citation Information. TY - Brief AU - Abu-Farsakh, Murad Y. A2 - Louisiana Transportation Research Center AB - This study was completed using finite element (FE) analysis to assess the benefits of using geosynthetic reinforcement in flexible pavements. A comprehensive parametric study was performed to determine the effect of different variables like asphalt layer thickness, base thickness, geosynthetic type and stiffness, and subgrade stiffness for low, medium, and high-volume traffic roads. The FE simulations were run for 100 load cycles, and the resulting permanent deformation (PD) was used to calibrate the ME rutting equation parameters for each layer. The PD data was extrapolated to determine the pavement's service life. The comparison of the PD curves of the unreinforced and reinforced sections was used to calculate the Traffic Benefit Ratios (TBR) at different rutting targets. By establishing the ratio between the calibrated rutting curves of the base and subgrade layers, the reduction coefficients for the PD equations ab and as were derived, which can be used directly in the design of geosynthetic reinforced pavements. AN - dot:88172 ET - Technical Summary KW - Calibration KW - Finite element method KW - Geosynthetics KW - Load tests KW - Pavement design KW - Sensitivity analysis KW - Simulation KW - Subgrade (Pavements) KW - Test sections KW - Traffic loads KW - Validation LA - English PB - Louisiana Transportation Research Center PY - 2025-11-01 SN - LTRC Report 718 TI - Development of a Design Methodology for Geosynthetic Reinforced Pavement Using Finite Element Numerical Modeling [Technical Summary] M3 - Brief N1 - United States N1 - SIO No. DOTLT1000346 UR - https://rosap.ntl.bts.gov/view/dot/88172 ER -
Development of a Design Methodology for Geosynthetic Reinforced Pavement Using Finite Element Numerical Modeling

Abu-Farsakh, Murad Y. ;

Zadehmohamad, Mehdi

2025-11-01 | PDF

This study was completed using finite element (FE) analysis to assess the benefits of using geosynthetic reinforcement in flexible pavements. A comprehensive parametric study was performed to determine the effect of different variables like asphalt layer thickness, base thickness, geosynthetic type and stiffness, and subgrade stiffness for low, med ...

12/15/2025

Title : Development of a Design Methodology for Geosynthetic Reinforced Pavement Using Finite Element Numerical Modeling Creator(s) : Abu-Farsakh, Murad Y.;Zadehmohamad, Mehdi; Corporate Creator(s) : Louisiana Transportation Research Center Corporate Contributor(s) : Louisiana. Department of Transportation and Development;United States. Department of Transportation. Federal Highway Administration; Published Date : 2025-11-01 Report Number : FHWA/LA.25/718 URL : https://rosap.ntl.bts.gov/view/dot/88171 Abu-Farsakh, Murad Y. and Zadehmohamad, Mehdi (2025). Development of a Design Methodology for Geosynthetic Reinforced Pavement Using Finite Element Numerical Modeling. Abu-Farsakh, Murad Y. and Zadehmohamad, Mehdi "Development of a Design Methodology for Geosynthetic Reinforced Pavement Using Finite Element Numerical Modeling" (2025) Abu-Farsakh, Murad Y. and Zadehmohamad, Mehdi "Development of a Design Methodology for Geosynthetic Reinforced Pavement Using Finite Element Numerical Modeling" , 2025 Export RIS Citation Information. TY - Tech Report AU - Abu-Farsakh, Murad Y. AU - Zadehmohamad, Mehdi A2 - Louisiana Transportation Research Center A3 - Louisiana. Department of Transportation and Development A3 - United States. Department of Transportation. Federal Highway Administration AB - This study was completed using finite element (FE) analysis to assess the benefits of using geosynthetic reinforcement in flexible pavements. A comprehensive parametric study was performed to determine the effect of different variables like asphalt layer thickness, base thickness, geosynthetic type and stiffness, and subgrade stiffness for low, medium, and high-volume traffic roads. The FE simulations were run for 100 load cycles, and the resulting permanent deformation (PD) was used to calibrate the ME rutting equation parameters for each layer. The PD data was extrapolated to determine the pavement's service life. The comparison of the PD curves of the unreinforced and reinforced sections was used to calculate the Traffic Benefit Ratios (TBR) at different rutting targets. By establishing the ratio between the calibrated rutting curves of the base and subgrade layers, the reduction coefficients for the PD equations ab and as were derived, which can be used directly in the design of geosynthetic reinforced pavements. AN - dot:88171 ET - Final Report June 2020 - June 2025 KW - Calibration KW - Finite element method KW - Geosynthetics KW - Load tests KW - Pavement design KW - Sensitivity analysis KW - Simulation KW - Subgrade (Pavements) KW - Test sections KW - Traffic loads KW - Validation LA - English PB - Louisiana Transportation Research Center PY - 2025-11-01 SN - FHWA/LA.25/718 TI - Development of a Design Methodology for Geosynthetic Reinforced Pavement Using Finite Element Numerical Modeling M3 - Tech Report N1 - United States N1 - 20-3GT UR - https://rosap.ntl.bts.gov/view/dot/88171 ER -
Update on Evaluating the Magnitude and Time Rate of Consolidation Settlement of Embankments and Other Piezocone Penetration Tests (PCPT) [Project Capsule]

Abu-Farsakh, Murad Y.

2025-10-01 | PDF

The construction of embankments and other infrastructure elements over saturated, compressible, cohesive soft soils in Louisiana presents significant geotechnical design challenges due to anticipated large magnitudes of consolidation settlement and slow rates of consolidation. Inaccurate estimation of these deformations can lead to significant diff ...

12/15/2025

Title : Update on Evaluating the Magnitude and Time Rate of Consolidation Settlement of Embankments and Other Piezocone Penetration Tests (PCPT) [Project Capsule] Creator(s) : Abu-Farsakh, Murad Y. Corporate Creator(s) : Louisiana Transportation Research Center Published Date : 2025-10-01 Report Number : 26-3GT URL : https://rosap.ntl.bts.gov/view/dot/88170 Abu-Farsakh, Murad Y. (2025). Update on Evaluating the Magnitude and Time Rate of Consolidation Settlement of Embankments and Other Piezocone Penetration Tests (PCPT) [Project Capsule]. Abu-Farsakh, Murad Y. "Update on Evaluating the Magnitude and Time Rate of Consolidation Settlement of Embankments and Other Piezocone Penetration Tests (PCPT) [Project Capsule]" (2025) Abu-Farsakh, Murad Y. "Update on Evaluating the Magnitude and Time Rate of Consolidation Settlement of Embankments and Other Piezocone Penetration Tests (PCPT) [Project Capsule]" , 2025 Export RIS Citation Information. TY - Brief AU - Abu-Farsakh, Murad Y. A2 - Louisiana Transportation Research Center AB - The construction of embankments and other infrastructure elements over saturated, compressible, cohesive soft soils in Louisiana presents significant geotechnical design challenges due to anticipated large magnitudes of consolidation settlement and slow rates of consolidation. Inaccurate estimation of these deformations can lead to significant differential settlements, loss of serviceability, structural damage, unsafe drivability, and increased maintenance costs. Therefore, accurate assessment of infrastructure settlement behavior and reliable estimation of the different consolidation parameters, such as constrained modulus (M), compression and recompression indices (Cc & Cr), horizontal and vertical coefficients of consolidation (Ch, Cv), and over consolidation ratio (OCR), are essential for the design and long-term performance evaluation of different infrastructure elements in such conditions. AN - dot:88170 ET - Project Capsule KW - Consolidation KW - Dissipation KW - Embankments KW - Field tests KW - Geotechnical engineering KW - Ground settlement LA - English PB - Louisiana Transportation Research Center PY - 2025-10-01 SN - 26-3GT TI - Update on Evaluating the Magnitude and Time Rate of Consolidation Settlement of Embankments and Other Piezocone Penetration Tests (PCPT) [Project Capsule] M3 - Brief N1 - United States N1 - SPR: TT-Fed/TT-Reg - 5 UR - https://rosap.ntl.bts.gov/view/dot/88170 ER -
Evaluation and Correlation of the Dynamic Friction Tester on Iowa Pavement Surfaces

Iowa. Department of Transportation

2018-01-01 | PDF

Frictional properties of pavement surface materials on roadway shoulders and highway ramps are of concern to state and county pavement engineers. Currently, the frictional properties of pavement surfaces are obtained via testing with a locked‐wheel skid trailer. Operational limitations prohibit the use of a locked‐wheel skid trailer on roadway shou ...

12/15/2025

Title : Evaluation and Correlation of the Dynamic Friction Tester on Iowa Pavement Surfaces Corporate Creator(s) : Iowa. Department of Transportation Published Date : 2018-01-01 Report Number : SP&R Project RB13-016 URL : https://rosap.ntl.bts.gov/view/dot/88169 Iowa. Department of Transportation (2018). Evaluation and Correlation of the Dynamic Friction Tester on Iowa Pavement Surfaces. Iowa. Department of Transportation "Evaluation and Correlation of the Dynamic Friction Tester on Iowa Pavement Surfaces" (2018) Iowa. Department of Transportation "Evaluation and Correlation of the Dynamic Friction Tester on Iowa Pavement Surfaces" , 2018 Export RIS Citation Information. TY - Brief A2 - Iowa. Department of Transportation AB - Frictional properties of pavement surface materials on roadway shoulders and highway ramps are of concern to state and county pavement engineers. Currently, the frictional properties of pavement surfaces are obtained via testing with a locked‐wheel skid trailer. Operational limitations prohibit the use of a locked‐wheel skid trailer on roadway shoulders and highway ramps. A Dynamic Friction Tester (DFT) can be used in these areas to test for frictional quality and characteristics of the pavement surface. AN - dot:88169 KW - Friction tests KW - Friction KW - Pavements KW - Surface dynamics KW - Surface texture tests KW - Skid resistance LA - English PB - Iowa Department of Transportation PY - 2018-01-01 SN - SP&R Project RB13-016 TI - Evaluation and Correlation of the Dynamic Friction Tester on Iowa Pavement Surfaces M3 - Brief N1 - United States UR - https://rosap.ntl.bts.gov/view/dot/88169 ER -
Evaluation Results Summary: National Traffic Incident Management (TIM) Responder Training Program

United States. Department of Transportation. Federal Highway Administration

2019-03-01 | PDF

In 2012, the Federal Highway Administration (FHWA) launched the National Traffic Incident Management (TIM) Responder Training Program. The TIM training program was developed by responders for responders and promotes consistent training of all responders to achieve the following three objectives. Responder safety, Safe, quick clearance, and Prompt, ...

12/15/2025

Title : Evaluation Results Summary: National Traffic Incident Management (TIM) Responder Training Program Corporate Creator(s) : United States. Department of Transportation. Federal Highway Administration Corporate Contributor(s) : Second Strategic Highway Research Program (SHRP2) Published Date : 2019-03-01 Report Number : FHWA-HOP-19-032 URL : https://rosap.ntl.bts.gov/view/dot/88168 United States. Department of Transportation. Federal Highway Administration (2019). Evaluation Results Summary: National Traffic Incident Management (TIM) Responder Training Program. United States. Department of Transportation. Federal Highway Administration "Evaluation Results Summary: National Traffic Incident Management (TIM) Responder Training Program" (2019) United States. Department of Transportation. Federal Highway Administration "Evaluation Results Summary: National Traffic Incident Management (TIM) Responder Training Program" , 2019 Export RIS Citation Information. TY - Brief A2 - United States. Department of Transportation. Federal Highway Administration A3 - Second Strategic Highway Research Program (SHRP2) AB - In 2012, the Federal Highway Administration (FHWA) launched the National Traffic Incident Management (TIM) Responder Training Program. The TIM training program was developed by responders for responders and promotes consistent training of all responders to achieve the following three objectives. Responder safety, Safe, quick clearance, and Prompt, reliable, interoperable communications. The program includes a Train-the-Trainer (TtT) course that provides participants (i.e., trainers) the knowledge and materials necessary for them to conduct TIM training for TIM responders in their area, typically through use of the four-hour version of the training. Additionally, the National Highway Institute offers a free WebBased Training (WBT) version of the four-hour TIM training course. Additional information about the training program is available at https://ops.fhwa.dot.gov/eto_tim_pse/about/tim.htm. To assess participant learning and to capture the impacts of the training on operations, FHWA developed a suite of surveys that cover reaction, learning, behavior and results. The surveys were administered using either hard copies during training sessions or through an online tool. Following is a summary of the survey results captured between January 2016 and August 2017. AN - dot:88168 KW - Traffic incidents KW - Incident management KW - Training programs KW - First responders LA - English PB - United States. Department of Transportation. Federal Highway Administration PY - 2019-03-01 SN - FHWA-HOP-19-032 TI - Evaluation Results Summary: National Traffic Incident Management (TIM) Responder Training Program M3 - Brief N1 - United States N1 - Public Domain UR - https://rosap.ntl.bts.gov/view/dot/88168 ER -
Demonstration and Inter-Comparison of Seasonal Weight Restriction Models - Phase II

Miller, Heather ;

Berg, Richard L

2020-12-01 | PDF

Many miles of roads are in seasonal frost areas that are highly susceptible to damage during the spring thaw period. As freezing occurs from the surface downward, moisture is drawn toward the freezing front, ice lenses are formed, and the roadways become stronger. When the ice lenses (above still-frozen underlying layers) melt, the structure is lef ...

12/15/2025

Title : Demonstration and Inter-Comparison of Seasonal Weight Restriction Models - Phase II Creator(s) : Miller, Heather;Berg, Richard L;Kestler, Maureen A; Corporate Creator(s) : Frost Associates Corporate Contributor(s) : Iowa Department of Transportation. Aurora Program;United States. Department of Transportation. Federal Highway Administration; Published Date : 2020-12-01 Report Number : 2014-01 URL : https://rosap.ntl.bts.gov/view/dot/88167 Miller, Heather et al. (2020). Demonstration and Inter-Comparison of Seasonal Weight Restriction Models - Phase II. Miller, Heather and Berg, Richard L and Kestler, Maureen A "Demonstration and Inter-Comparison of Seasonal Weight Restriction Models - Phase II" (2020) Miller, Heather et al. "Demonstration and Inter-Comparison of Seasonal Weight Restriction Models - Phase II" , 2020 Export RIS Citation Information. TY - Tech Report AU - Miller, Heather AU - Berg, Richard L AU - Kestler, Maureen A A2 - Frost Associates A3 - Iowa Department of Transportation. Aurora Program A3 - United States. Department of Transportation. Federal Highway Administration AB - Many miles of roads are in seasonal frost areas that are highly susceptible to damage during the spring thaw period. As freezing occurs from the surface downward, moisture is drawn toward the freezing front, ice lenses are formed, and the roadways become stronger. When the ice lenses (above still-frozen underlying layers) melt, the structure is left in an undrained, unconsolidated condition that is highly susceptible to damage under traffic. In seasonal frost areas, some state departments of transportation (DOTs) take advantage of the period of higher strength in mid-winter by using winter weight premiums (WWPs) to increase the allowable weight that trucks can haul. Conversely, to reduce damage during the spring thaw, many road management agencies apply spring load restrictions (SLRs). The objective of this effort was to provide an understanding of the reliability, benefits, costs, and risks of alternate approaches to scheduling seasonal load restrictions on roadways. The major tasks addressed in this Phase II report were to implement the models recommended from Phase I at demonstration sites and to calibrate those models, if required. The models included both degree-day threshold and frost-thaw depth prediction models. Output from the models was then compared with validation data provided by the DOTs involved in this study. These validation data consisted of subsurface temperature data (which were reduced by the research team to compute frost and thaw depths) and, in some cases, deflection and/or stiffness data from lightweight deflectometer (LWD) and falling weight deflectometer (FWD) tests. With the results of these implementation and validation efforts, recommendations based on accuracy, simplicity of use, and cost were developed to aid road management agencies in selecting which model or protocol is most appropriate for their intended purposes, personnel, and specific conditions. AN - dot:88167 ET - Final Report KW - Deflectometers KW - Freeze thaw durability KW - Frost KW - Load limits KW - Pavement maintenance KW - Predictive models KW - Seasonally frozen ground KW - Trucking LA - English PB - Iowa. Department of Transportation. Aurora Program PY - 2020-12-01 SN - 2014-01 TI - Demonstration and Inter-Comparison of Seasonal Weight Restriction Models - Phase II M3 - Tech Report N1 - United States N1 - Federal SPR Part II, CFDA 20.205 UR - https://rosap.ntl.bts.gov/view/dot/88167 ER -
Demonstration and Inter-Comparison of Seasonal Weight Restriction Models - Phase I

Miller, Heather ;

Kestler, Maureen A

2014-07-01 | PDF

In seasonal frost areas, some state departments of transportation (DOTs) take advantage of the period of higher strength in mid- winter by using winter weight premiums (WWPs) to increase the allowable weight that trucks can haul. Conversely, to reduce damage during the spring thaw, many road management agencies apply spring load restrictions (SLRs) ...

12/15/2025

Title : Demonstration and Inter-Comparison of Seasonal Weight Restriction Models - Phase I Creator(s) : Miller, Heather;Kestler, Maureen A;Berg, Richard L;Cabral, Christopher S; Corporate Creator(s) : USDA Forest Service. National Technology and Development Program Corporate Contributor(s) : Iowa State University. Aurora Program;United States. Department of Transportation. Federal Highway Administration; Published Date : 2014-07-01 Report Number : 2012-05 URL : https://rosap.ntl.bts.gov/view/dot/88166 Miller, Heather et al. (2014). Demonstration and Inter-Comparison of Seasonal Weight Restriction Models - Phase I. Miller, Heather et al. "Demonstration and Inter-Comparison of Seasonal Weight Restriction Models - Phase I" (2014) Miller, Heather et al. "Demonstration and Inter-Comparison of Seasonal Weight Restriction Models - Phase I" , 2014 Export RIS Citation Information. TY - Tech Report AU - Miller, Heather AU - Kestler, Maureen A AU - Berg, Richard L AU - Cabral, Christopher S A2 - USDA Forest Service. National Technology and Development Program A3 - Iowa State University. Aurora Program A3 - United States. Department of Transportation. Federal Highway Administration AB - In seasonal frost areas, some state departments of transportation (DOTs) take advantage of the period of higher strength in mid- winter by using winter weight premiums (WWPs) to increase the allowable weight that trucks can haul. Conversely, to reduce damage during the spring thaw, many road management agencies apply spring load restrictions (SLRs). The objective of this effort was to provide an understanding of the reliability, benefits, costs, and risks of alternate approaches to scheduling seasonal load restrictions on roadways. AN - dot:88166 ET - Final Report KW - Deflectometers KW - Freeze thaw durability KW - Frost KW - Load limits KW - Pavement maintenance KW - Predictive models KW - Seasonally frozen ground KW - Trucking LA - English PB - Iowa State University. Aurora Program PY - 2014-07-01 SN - 2012-05 TI - Demonstration and Inter-Comparison of Seasonal Weight Restriction Models - Phase I M3 - Tech Report N1 - United States UR - https://rosap.ntl.bts.gov/view/dot/88166 ER -
Effect of Video Camera-Based Remote Roadway Condition Monitoring on Snow Removal-Related Maintenance Operations

Saito, Mitsuru ;

Yamagata, Seishi

2014-06-01 | PDF

Remote monitoring through the use of cameras is widely utilized for traffic operation but has not been utilized widely for roadway maintenance operations. The Utah Department of Transportation (UDOT) has implemented a new remote monitoring system, referred to as a Cloud-enabled Remote Video Streaming (CRVS) camera system for snow removal-related ma ...

12/15/2025

Title : Effect of Video Camera-Based Remote Roadway Condition Monitoring on Snow Removal-Related Maintenance Operations Creator(s) : Saito, Mitsuru;Yamagata, Seishi; Corporate Creator(s) : Brigham Young University. Department of Civil and Construction Engineering Corporate Contributor(s) : Iowa Department of Transportation. Aurora Program;United States. Department of Transportation. Federal Highway Administration; Published Date : 2014-06-01 Report Number : 2012-03 URL : https://rosap.ntl.bts.gov/view/dot/88165 Saito, Mitsuru and Yamagata, Seishi (2014). Effect of Video Camera-Based Remote Roadway Condition Monitoring on Snow Removal-Related Maintenance Operations. Saito, Mitsuru and Yamagata, Seishi "Effect of Video Camera-Based Remote Roadway Condition Monitoring on Snow Removal-Related Maintenance Operations" (2014) Saito, Mitsuru and Yamagata, Seishi "Effect of Video Camera-Based Remote Roadway Condition Monitoring on Snow Removal-Related Maintenance Operations" , 2014 Export RIS Citation Information. TY - Tech Report AU - Saito, Mitsuru AU - Yamagata, Seishi A2 - Brigham Young University. Department of Civil and Construction Engineering A3 - Iowa Department of Transportation. Aurora Program A3 - United States. Department of Transportation. Federal Highway Administration AB - Remote monitoring through the use of cameras is widely utilized for traffic operation but has not been utilized widely for roadway maintenance operations. The Utah Department of Transportation (UDOT) has implemented a new remote monitoring system, referred to as a Cloud-enabled Remote Video Streaming (CRVS) camera system for snow removal-related maintenance operations in the winter. The purpose of this study was to evaluate the effectiveness of the use of the CRVS camera system in snow removal-related maintenance operations. This study was conducted in two parts: opinion surveys of maintenance station supervisors and an analysis on snow removal-related maintenance costs. The responses to the opinion surveys mostly displayed positive reviews of the use of the CRVS cameras. On a scale of 1 (least effective) to 5 (most effective), the average overall effectiveness given by the station supervisors was 4.3. An expedition trip for this study was defined as a trip that was made to just check the roadways if snow-removal was necessary. The average of the responses received from surveys was calculated to be a 33 percent reduction in expedition trips. For the second part of this study, an analysis was performed on the snow removal-related maintenance cost data provided by UDOT to see if the installation of a CRVS camera had an effect in reducing expedition trips. This expedition cost comparison was performed for 10 sets of maintenance stations within Utah. It was difficult to make any definitive inferences from the comparison of expedition costs over the years for which precipitation and expedition cost data were available; hence a statistical analysis was performed using the Mixed Model ANOVA. This analysis resulted in an average of 14 percent higher ratio of expedition costs at maintenance stations with a CRVS camera before the installation of the camera compared to the ratio of expedition costs after the installation of the camera. This difference was not proven to be statistically significant at the 95 percent confident level but indicated that the installation of CRVS cameras was on the average helpful in reducing expedition costs and may be considered practically significant. It is recommended that more detailed and consistent maintenance cost records be prepared for accurate analysis of cost records for this type of study in the future. AN - dot:88165 ET - Final Report KW - Condition surveys KW - Data collection KW - Decision support systems KW - Snow removal KW - Winter maintenance KW - Wireless communication systems KW - Traffic data KW - Video cameras LA - English PB - Iowa. Department of Transportation. Aurora Program PY - 2014-06-01 SN - 2012-03 TI - Effect of Video Camera-Based Remote Roadway Condition Monitoring on Snow Removal-Related Maintenance Operations M3 - Tech Report N1 - United States N1 - SPR 72-00-0003-042 UR - https://rosap.ntl.bts.gov/view/dot/88165 ER -

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