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.
Airborne light detection and ranging (lidar) and unmanned aircraft systems (UAS), also called drones, are emerging technologies that are of growing interest for a range of transportation applications. At the same time, machine learning is leading to rapid advances in the ability to automatically extract actionable information from lidar data. This
...
In the history of this country, rural, isolated, indigenous, and tribal (RITI) communities were commonly overlooked with regards to social infrastructure and support. This issue is evident in the development of the transportation networks of these areas and the distinct lack of road safety in these types of communities. RITI communities carry a sig
...
The Northeast Connected and Automated Vehicle Summit was hosted by the Connecticut Department of Transportation, the Federal Highway Administration, and the University of Connecticut on June 12-13, 2019, at the Hartford Hilton Hotel. The event provided an open forum for stakeholders in the Northeast to network, share, and discuss a wide range of to
...
A new methodology to estimate unknown pile length called Effective Dispersion of Reflections (EDAR) was developed. A software package was also developed for seamless application of the methodology. EDAR software facilitates data acquisition in the field and the subsequent analysis of the data to estimate pile length. In addition to providing length
...
Autonomous vehicles (AVs) are poised to dramatically reshape the transportation system. They are likely to have significant consequences on urban transportation issues: energy use, vehicle miles traveled, the need for neighborhood parking, the ease of accessing employment, and the incidence of pollution—in both positive and negative directions. Nat
...
As the Florida Department of Transportation’s (FDOT) work advances the development of a multimodal system for the State of Florida, the Transportation Data & Analytics (TDA) Office anticipates that the development of new modes, including the Shared Use Nonmotorized (SUN) Trail network, will soon outpace current FDOT data inventory systems and pract
...
Pricing externalities from vehicle use such as road damage, vehicular emissions (both greenhouse gases and local pollutants), and congestion has become a hot topic in the transportation sector in recent years. Road user charge pilot programs are being explored in various states in the US, cities like New York and San Francisco are following in the
...
The near-term goal of this project was to develop and evaluate an initial set of standardized test procedures that vehicles equipped with automated driving features could undergo to compare capabilities and limitations across different implementations of automated technologies. In the longer term, this project will provide a basis for future automa
...
Transportation connects citizens to their communities and is critical to healthy aging. Globally, the world population continues to live longer, presenting important implications and challenges to economic and social policy. By 2050, 16% of the world’s population will be ages 65 and older, up from 9% in 2018 (Kaneda, Greenbaum & Patierno, 2018). Un
...
The U.S. Department of Transportation (USDOT) is actively researching intelligent transportation systems (ITS) aimed at reducing traffic incidents, improving safety, and gathering real-time travel time (TT) information. An important aspect of the process is specifying the characteristics of traffic schemes, which include vehicle classification, ori
...
The main objective of this study was to investigate the effect of different CV lane configurations and various market penetration rates on the safety and operation of the MLs network. Additionally, work will be done for studying the lower levels of automated vehicles (Level 1/Level 2) in a CV environment in the MLs network and determining the optim
...
Vehicle detection, counting, and classification are key for not only improving road designs and maintenance, but also driver safety. In pursuit of these objectives, the authors proposed an automated system for collecting temporary vehicle data (e.g., count, speed, vehicle classification based on axles, collection date and time, among other factors)
...
This project aimd at developing a decision support system (DSS) for Integrated Active Traffic Management (IATM) for both freeways/expressways and arterials/collectors. In order to achieve the objectives, the following tasks were performed. The research team first reviewed different traffic detection technologies to understand the output data charac
...
The Federal Aviation Administration (FAA) NextGen Human Factors Division commissioned this research to identify and share lessons learned from air traffic control facilities that were “early adopters” of Established on Required Navigation Performance (EoR) (RNP) procedures. Based on a review of relevant concept validation documentation and research
...
This project is motivated by the possible value of integrating theory-based discrete choice models (DCMs) and data-driven neural networks. How to benefit from the strengths of both is the overarching question. We propose hybrid structures and strategies to flexibly represent taste heterogeneity and improve predictability while keeping model interpr
...
The transportation network along the Hawaiian coastline is vulnerable to sea-level rise (SLR) and flooding. Digital terrain models (DTMs) are a major input for assessing the vulnerability of roadways. Airborne LiDAR (Light Detection and Ranging) is widely recognized as the state-of-the-art DTM mapping technology for assessing SLR-induced inundation
...
In recent years natural disasters have caused significant disruptions to transportation systems, which had to cascade negative impacts on humanitarian operations, related infrastructure, and associated industries in the affected areas. How to prepare for and respond to transportation system disruptions is a complex decision incorporating a variety
...
The main goal of adaptive signal control technologies (ASCT) is to minimize the travel time experienced by travelers and to reduce the number of stops through arterial corridors. This project conducted an independent assessment of an ASCT system in Mayport, FL, and compared operating conditions when the system was “Off” to when the system was “On”
...
A strong consensus is emerging that changes in technology, environmental conditions, demographics and associated travel choices, global trade and security, and transportation funding increase risks in long-range transportation planning. These factors are creating a need to develop a diverse set of alternative future scenarios that address these ris
...
The traditional, transportation safety management approach involves the identification of crash hotspots, in which public agencies prioritize locations eligible for safety improvements based on historical collision concentrations. This report presents an enhanced systemic approach which consists of targeting blanket improvements at sites across a r
...
Links with this icon indicate that you are leaving a Bureau of Transportation
Statistics (BTS)/National Transportation Library (NTL)
Web-based service.
Thank you for visiting.
You are about to access a non-government link outside of
the U.S. Department of Transportation's National
Transportation Library.
Please note: While links to Web sites outside of DOT are
offered for your convenience, when you exit DOT Web sites,
Federal privacy policy and Section 508 of the Rehabilitation
Act (accessibility requirements) no longer apply. In
addition, DOT does not attest to the accuracy, relevance,
timeliness or completeness of information provided by linked
sites. Linking to a Web site does not constitute an
endorsement by DOT of the sponsors of the site or the
products presented on the site. For more information, please
view DOT's Web site linking policy.
To get back to the page you were previously viewing, click
your Cancel button.