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.
One of the growing concerns for transportation agencies is speed management in school zones, as it is vital to children's safety. Automated Speed Enforcement (ASE) is one of the measures to address speed management concerns. As of January 2024, approximately 286 schools across Georgia were equipped with ASE cameras, aiming to improve traffic safety
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This research project evaluates how rumble strip design and placement affect motorcycle safety and comfort, with the goal of developing recommendations for the Georgia Department of Transportation (GDOT) to improve roadway design practices. Rumble strips are a proven countermeasure for roadway departure crashes; however, their vibration and geometr
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Artificial Intelligence (AI) is increasingly shaping the way state Departments of Transportation (DOTs) approach both research and daily operations. This powerful technology creates new opportunities for improving efficiency, supporting decision-making, and streamlining agency workflows, but it also presents new challenges, including concerns about
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Speed-related crashes remain a critical concern for Texas, identified as one of the seven key emphasis areas in the Texas Strategic Highway Safety Plan (SHSP) for 2018–2022. Traditional crash risk models often overlook essential real-time factors such as operating speed, traffic variability, and weather, limiting their effectiveness. To address thi
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The Virginia Department of Transportation (VDOT) implemented balanced mix design (BMD) performance testing for asphalt mixture design and production in the 2024 paving season. The BMD approach seeks to achieve asphalt mixtures that have properties to resist both cracking and rutting distresses and to increase durability. This implementation of BMD
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Electric vehicle fires present unique challenges for roadway incident management due to lithium-ion battery thermal runaway characteristics that can result in extended suppression durations, toxic emissions, and reignition risks. This study assessed the prevalence and operational impacts of electric vehicle fires through analysis of vehicle fire in
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This study addresses the persistent challenge of delivering cost-effective, high-quality on-demand transit in low-density communities. Traditional microtransit services often struggle in such areas due to high fixed costs and limited opportunities to consolidate trips, while community partnerships with transportation network companies (TNCs) like U
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This study developed a new approach to establish baseline load ratings for bridges in Kansas without plans using data from the National Bridge Inventory (NBI). The approach is comprised of linear regression models to estimate load ratings for bridges with a condition rating of 8 or higher and adjustment factors to lower the estimated load rating to
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Management of work zone speeds and ensuring driver compliance with work zone speed limits play an important role in reducing the number and severity of work zone crashes. The objective of this research study is to assess speeds driven by motorists in Missouri freeway work zones, including average speeds, 85th percentile speeds, maximum speeds, and
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Management of work zone speeds and ensuring driver compliance with work zone speed limits play an important role in reducing the number and severity of work zone crashes. The objective of this research study is to assess speeds driven by motorists in Missouri freeway work zones, including average speeds, 85th percentile speeds, maximum speeds, and
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This project is designed to examine the utility of using the database of flood-induced road closures collected by MoDOT to develop an Artificial Intelligence/Machine Learning (AI/ML) model. This was accomplished by assembling a database of predictors. These predictors include quantitative precipitation estimates, hydrologic model output, and a seri
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This project is designed to examine the utility of using the database of flood-induced road closures collected by MoDOT to develop an Artificial Intelligence/Machine Learning (AI/ML) model. This was accomplished by assembling a database of predictors. These predictors include quantitative precipitation estimates, hydrologic model output, and a seri
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A unique network tied-arch bridge with free-standing arches was designed to carry 2nd Avenue traffic over Interstate (I-94) in Detroit, Michigan. This 245-ft-long, 96.5-ft-wide bridge, skewed at 18 degrees, is the first skewed, unbraced network arch bridge constructed in the United States. The superstructure frame was erected off-site at a bridge s
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This report describes an investigation focused on characterizing the phenomenon of constraint-induced fracture (CIF) in steel bridges, specifically considering three classes of details which prior research has not adequately addressed: thick bearing stiffeners, connection plates, and orthogonal stiffeners with varying constraint-relief gap dimensio
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Blowing and drifting snow on the roadway can cause major challenges for safety and mobility, as well as increased maintenance needs. This challenge can be particularly problematic in more rural locations where the distance for a snowplow to travel to treat an impacted roadway can be longer. In addition, if a road were to shut down due to weather im
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The Alabama Department of Transportation (ALDOT) employs infiltration swales, linear vegetated channels with engineered soil media, as a green infrastructure stormwater control measure along roadsides to reduce runoff discharge. This study evaluated the performance of infiltration swales and their media through laboratory experiments, field testing
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This project was undertaken to support the Michigan Department of Transportation’s (MDOT) implementation of a new Pavement Management Tool (PMT), a decision-support system designed to optimize pavement project selection. The goal was to develop data-driven inputs for the PMT using MDOT’s extensive historical pavement condition and maintenance data,
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MDOT has been using the Distress Index (DI) since the inception of its pavement management system (PMS) in the early 1990s. DI was developed to help MDOT engineers decide, allocate budgets, and prioritize future maintenance or reconstruction activities. However, the raw data requirements for the DI are complicated (and somewhat unique compared to t
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This Special Crash Investigations report documents the remote investigation of a crash in May 2021, during which a 2008 Toyota Sienna struck a 2016 Chevrolet Silverado 2500 pickup truck used by the Washington State Department of Transportation (WSDOT) incident response team while aiding in a prior crash. The state’s Move-Over-Law requires drivers t
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