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.
Recent research activities are focused on improving Vehicle-to-Vehicle Communication (V2V) based on the 5G Technology. V2V applications are important because they are expected to reduce the risk of accidents up to 80%, enhance traffic management, mitigate congestion, and optimize fuel consumption. Typical autonomous vehicle applications require a h
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This report chronicles the work undertaken by researchers at the University of Illinois Urbana Champaign to identify policies and design guidelines to plan for connected and autonomous vehicles (CAVs) in mid-sized regions in Illinois. The report starts with the goals of this work followed by a review of existing literature. The review addresses CAV
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With the accelerated deployment of connected and automated vehicle (CAV) technologies, public agencies have urgent needs on how to utilize these rich data sources of CAVs to improve traffic mobility, safety, and environmental and energy impact. This research will tackle one of the big data challenges, which is mining driving behavior patterns using
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Connected and autonomous vehicles (CAVs) are an emerging technology that has great potential for increasing road capacity and reducing traffic incidents, congestion, fuel/energy consumption as well as emission, all of which may support safer and more reliable and efficient (and potentially sustainable) transportation systems. Given that transportat
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Forty-three households in the Sacramento region representing diverse demographics, modal preferences, mobility barriers, and weekly vehicle miles traveled (VMT) were provided personal chauffeurs for one or two weeks to simulate travel behavior with a personally-owned, fully autonomous vehicle (AV). During the chauffeur week(s), the total number of
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This project will use a combination of laboratory experimentation and road demonstrations to better understand the reduction of LiDAR signal and object detection capability under adverse weather conditions found in Minnesota. It will also lead to concepts to improve LiDAR systems to adapt to such conditions through better signal processing image re
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VisioStack Inc. completed initial research to automate drone inspection flights over railroad track using real-time rail detection and track centerline following to simulate flight control without Global Positioning System (GPS) information. Uncrewed Aerial Systems (UAS, or drones) are platforms that may enable more frequent and safer track inspect
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In efforts to predict the long-distance travel impacts (for passengers and freight) of self-driving cars and trucks across Texas and the US, researchers estimated models for long-distance domestic passenger and freight trips before and after the introduction of autonomous vehicles (AVs) and applied the passenger models to a 10%synthetic US populati
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Work zones are critical for efficient and safe operation of a highway transportation system. Performing the maintenance required for a roadway infrastructure, however, could involve risks. In 2017 alone, a total of 158,000 total vehicle crashes occurred in our nation’s work zones, accounting for 61,000 injuries [1]. Many of these frequently involve
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In the era of Connected and Autonomous Vehicles, platooning has the potential to increase roadway capacity and reduce energy consumption. However, vehicles may expend extra energy as they try to form platoons. Also, depending on its position within a platoon, the energy savings of each vehicle can be different. Thus, optimizing and quantifying the
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The United States Department of Transportation (USDOT) recognizes that cooperative automated driving systems will have a transformative impact on how the nation’s highways will operate in the future. One of the proposed near-term services is truck platooning. Truck platooning promises fuel savings to platooning trucks by enabling them to follow eac
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Crashes involving transit vehicles, bicyclists, and pedestrians are a concern in Texas, especially in urban areas. This research explored the potential of automated and connected vehicle (AV/CV) technology to reduce or eliminate these crashes. The project objectives focused on identifying safety concerns related to the interaction of transit vehicl
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To establish a framework for considering these wraparound AV impacts in New York City, the NYU Rudin Center for Transportation Policy and Management led a multi-stakeholder initiative in conjunction with NYU’s C2SMART, USDOT University Transportation Center. The team hosted three workshops in December 2021 addressing issues and opportunities in sev
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This project seeks to examine how transit work will transform as autonomous vehicle (AV) technology is applied to the complex operating environment of public transit. While there is a legacy of autonomous transport in controlled settings such as airport “people movers,” recent technological advancements target both constrained busways and unconstra
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This report investigates and develops specifications for using blockchain and distributed organizations to enable decentralized delivery and finance of urban infrastructure. The project explores use cases, including: providing urban greening, street or transit infrastructure; services for street beautification, cleaning and weed or graffiti abateme
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This project sought to develop a coordinated and consistent multi-state approach to the setting of policies, laws, and regulations within the New England region to support the seamless operation of ADS-equipped vehicles across the New England states.
The operational characteristics of freight shipments will significantly change after implementation of autonomous and connected trucks (ACTs). This change will have major impacts on mobility, safety, and infrastructure service life. Truck platooning is one of the truck arrangements that will soon become feasible with connected vehicle technology. I
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Report and Period Covered 14. Sponsoring Agency Code 15. Supplemental Notes 16. Abstract Connected and automated vehicles (CAVs) are expected to improve safety by gradually reducing human decisions while driving. However, there are still questions on their effectiveness as we transition from almost 0% CAVs to 100% CAVs with different levels of vehi
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The objective of this project is to examine the potential effects of high-level vehicle automation on energy demand and greenhouse gas (GHG) emissions from vehicles. To achieve this, improved projections of future travel demand and patterns of autonomous vehicles (AVs) were obtained using a stated preference survey distributed in Indianapolis, Indi
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Autonomous vehicles (AVs) could have both positive and negative impacts on public health. The most notable benefits relate to reduction in crashes and pollutant emissions. Conversely, AVs can limit opportunities for active travel and associated health benefits. If the adoption of the AV or shared AV technology is not adequately designed, it could l
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