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.
Cooperative Adaptive Cruise Control (CACC) provides an intermediate step toward a longer-term vision of trucks operating in closely-coupled automated platoons. One distinction between CACC and automated truck platooning is with CACC, only truck speed control will be automated using Vehicle-to-Vehicle communication. The drivers will still be respons
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This document summarizes positioning and timing related information from the three Connected Vehicle Pilot Deployment Sites (NYCDOT, Tampa/THEA, and WYDOT) as discussed during technical roundtables. Information is largely based on progress to date during Phase 2, and will be updated in the future once all sites have finalized their implementations.
Connected and automated vehicles (CAV) are poised to transform surface transportationsystems in the United States. Near-term CAV technologies like cooperative adaptive cruisecontrol (CACC) have the potential to deliver energy efficiency and air quality benefits. Thisposter lays out a modeling framework for evaluating energy and tailpipe emission im
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This research develops heuristics to manage mandatory network capacity reductions to better serve the network flows. The main application discussed relates to transportation networks, and flow cost relates to travel cost of users of the network. Temporary mandatory capacity reductions are required by maintenance activities. The objective of managin
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Road travel in light-duty vehicles, while of great economic value to private consumers and society, also generates a range of social costs. These include environmental damage from localized and global emissions, energy security concerns from petroleum use, external accident risk, and road congestion. These social costs are addressed only partially
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Connected and automated vehicles (CAVs) must be tested extensively before they can be deployed and accepted by the general public. Currently, CAV testing and evaluation are primarily conducted in two ways: on public roads and in closed test facilities. There are two significant limitations of public road testing. First, safety is a critical issue b
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This report investigates using detailed simulation models to help regional and state agencies plan for the effects of connected vehicle (CV) and autonomous vehicle (AV) technologies in long-range planning. The research integrates the DaySim activity-based travel demand model with the TransModeler dynamic traffic simulation model for Jacksonville, F
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This summary report provides a high-level overview of four experiments that investigated human factors issues surrounding cooperative adaptive cruise control (CACC). CACC combines three driver assist systems: (1) conventional cruise control, which automatically maintains the speed a driver has set, (2) adaptive cruise control, which uses radar or l
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The Federal Highway Administration (FHWA) has adapted the Transportation Systems Management and Operations (TSMO) Capability Maturity Model (CMM) to describe the operational maturity of Infrastructure Owner-Operator (IOO) agencies across a range of important dimensions. Agencies can use the CMM to develop action plans to move agencies capabilities
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Connected and automated vehicles (CAV) may deliver energy efficiency and air quality benefits by reducing traffic congestion and facilitating smoother driving behavior. This paper proposes a three-layered modeling framework for assessing the energy and emission impacts of first generation CAV technologies, such as cooperative adaptive cruise contro
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The Center for Connected Multimodal Mobility (C2M2), headquartered at Clemson University, began conducting research in 2016 by utilizing and enhancing the functionalities of the Clemson University Connected Vehicle Testbed (CU-CVT). CU-CVT includes heterogeneous wireless communication technologies and data infrastructure for real-time connected veh
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The goal of this project is to develop decision-making tools that enhance our understanding of the intricate relationship between vehicle autonomy, traffic operations and congestion externalities. A detailed traffic simulation tool was used to investigate the relationship between vehicle autonomy, travel demand attributes (e.g., driver behavior), a
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LIDAR has become one of the major enabling technologies for autonomous vehicles. LIDAR sensors generate 3D point cloud data around the instrumented vehicle. These data enable detailed localization of both fixed and moving objects in the surrounding environment. In this project, various aspects of LIDAR data processing are studied with an emphasis o
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This report documents the work completed by the Crash Avoidance Metrics Partners LLC (CAMP) Vehicle to Infrastructure (V2I) Consortium during the third year of the “Development of Vehicle-to-Infrastructure Applications (V2I) Program.” Participating companies in the V2I Consortium during this period were Ford, General Motors, Hyundai-Kia, Honda, Maz
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Through this project, the Texas Department of Transportation (TxDOT) funded the creation of a comprehensive truck platooning demonstration in Texas, serving as a proactive effort in assessing innovative operational strategies to position TxDOT as a leader in this research area and the overall transportation systems management and operation using co
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This research is intended to provide a technical analysis of the potential impacts of automated vehicles (AVs) on current light-duty vehicle miles traveled (VMT) and parking decisions, the economic desirability of widespread deployment of partially automated technologies, and methods for existing roadways to transition to connected and automated ve
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The focus of the Cooperative Adaptive Cruise Control – Small-Scale Test Project is to develop and implement CACC functionality as an extension of conventional ACC technology leveraging DSRC communications between vehicles and with the infrastructure. This report covers activities performed during Phase 1 of the research plan in which a reference AC
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This report describes the development, evaluation and refinement of three Vehicle-to-Infrastructure (V2I) safety applications using Dedicated Short Range Communication (DSRC)-based over-the-air messages between the infrastructure and vehicles. The safety applications selected for development were a Red Light Violation Warning application, Curve Spe
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Connected vehicles (CVs) work by communicating with each other and the roadway infrastructure via dedicated shortrange communication. They are expected to eventually reduce non-impaired driver crashes by 80 percent, which will also significantly reduce traffic congestion. Researchers at Morgan State University in Baltimore, Maryland, spent 4 years
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