By leveraging advanced technologies, Autonomous Vehicles (AVs) hold the potential to increase transportation safety and efficiency. This collection showcases USDOT-funded research and data concerning AVs. Bookmark this collection: https://rosap.ntl.bts.gov/collection_avs OR https://doi.org/10.21949/1x81-qs91.
The objective of this research project is to help the Washington State Department of Transportation (WSDOT) identify the right time and location for selecting a corridor for connected vehicle (CV) implementation so that the technological needs and compatibilities are met and expected outcomes are significant. This research team surveyed twenty-one
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The objective of this project was to inventory the state of the practice for integrating AVs into the modeling process and to develop metrics, models and prototype tools for quantitative evaluation of AV scenario planning impacts. The outcome of the project is a usable framework and prototype planning model to establish the viability and access to
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The research aims at developing a resilient framework to be applied to transportation systems using connected and autonomous vehicles (CAVs). This innovation potentially responds to accident rates often related to inefficient communication systems, supported by a variety of state-of-the-art safety applications. A Vehicular Ad hoc Network (VANET) is
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Sharing location-based information and positioning vehicles with respect to that information has been one of the fundamental challenges in intelligent transportation for over two decades. As Connected and Automated Vehicles (C/AVs) and related data-intensive transportation network management solutions start to emerge, this research project assesses
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This report summarizes the state of the practice in the application of advanced technologies to winter road maintenance operations. Information was captured through a combination of literature search, surveys, and interviews with key stakeholders. Several promising technologies were identified as areas of interest. These areas include connected aut
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Autonomous vehicles (AVs) are widely considered to be the future of surface transportation in the United States, but little is understood about how people will interact with these vehicles, what they will use them for, and how they will impact our roads. However, farmers have been interacting with some degree of AV technology, primarily auto-guidan
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United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
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2020-12-01
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Connected vehicle (CV) technology is expected to significantly improve transportation systems due to the mobility, safety, and environmental benefits gained from connectivity between different vehicles and with infrastructure. Enabled by wireless communications, connectivity to real-time traffic signal data is a key component of CV applications. La
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United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office
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2020-12-01
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Connected vehicle (CV) technology is expected to significantly improve transportation systems due to the mobility, safety, and environmental benefits gained from connectivity between different vehicles and with infrastructure. Connectivity to real-time traffic signal data is a key component of CV applications and is enabled by wireless communicatio
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Mobile and slow-moving operations, such as striping, sweeping, bridge flushing and pothole patching, are critical for efficient and safe operation of the highway transportation system. A successfully implemented leader-follower autonomous truck mounted attenuators (ATMA) system will eliminate all injuries to DOT employees in follow truck (FT) provi
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This project developed a method to characterize the impact of privately-owned autonomous electric vehicles on electric vehicle charger placement, distribution, utilization, and power demand. Using Seattle, WA as a case study, a least total cost optimization for charging station owner and driver costs is conducted for vehicle automation levels 0-3,
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This project developed the key modules and models for building a prototype smart mobility intersection testbed. The project proposed the key system design, developed the computer-vision based sensing module, created 3D infrastructure model, and explored a risk-based intersection traffic conflict analysis application as an application of the develop
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This project studies methods to control both vehicle and traffic under limited penetration of low-level connected and autonomous vehicles (LCAVs). The investigation includes three major parts: (1) the Eco-Driving algorithm for a single CAV with low-level automation; (2) the vehicle in the loop (VIL) simulation platform; and (3) the integrated vehic
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This report addresses a multitude of contemporary issues in highway safety, evolving transportation alternatives, and activity and travel behavior modelling. The report begins by studying issues relating to big data, traditional data and the tradeoffs between prediction and causality in highway-safety analysis, showing that a combination machine le
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The evolution of scientific advances has often been characterized by the amalgamation of two or more technologies. With respect to vehicle connectivity and automation, recent literature suggests that these two emerging transportation technologies can and will jointly and profoundly shape the future of transportation. However, it is not certain how
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This report describes the findings from applying Safety of the Intended Functionality (SOTIF) concepts as described in the Publicly Available Specification (PAS) ISO 21448 to the lane-changing and lane-centering maneuvers of a generic Level 3 highway chauffeur system. This report compares the SOTIF process described in PAS 21448 with the automotive
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Reducing crash counts on saturated road networks is one of the most significant benefits of autonomous vehicle(AV) technology. To date, many researchers have studied how AVs maneuver in different traffic situations, but less attention has been paid to car-following scenarios between AVs and human drivers. Braking and accelerating decision mismatche
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In this project, we developed essential modules for achieving the proposed autonomous emergency navigation function for an automated vehicle. We investigated and designed sensing solutions for safe roadside location identification, as well as control solutions for autonomous navigation to the identified location. Sensing capabilities are achieved b
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Automated driving systems (ADS) have the potential to fundamentally change transportation, and a growing number of these systems have entered the market and are currently in use on public roadways. However, drivers may not use ADS as intended due to misunderstandings about system capabilities and limitations. Moreover, the real-world use and effect
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Automated driving systems (ADS) have the potential to fundamentally transform transportation by reducing crashes, congestion, and cost while improving traffic efficiency and access to mobility for the transportation-challenged population. However, people may not use ADS as intended due to their misunderstanding of such systems’ capabilities and lim
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Automated vehicle Services for People with disabilities–Involved Responsive Engineering (ASPIRE Center) [UTC]
2020-10-30
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ASPIRE Center data management plan for research on topic: Implications of Accessible Automated Vehicles and Mobility Services for People with Disabilities.
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