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.
Previous work by the University of Florida and FDOT focused on the development of algorithms, software, and hardware solutions to enhance traffic signal control operations simultaneously with vehicle trajectories. These tests focused on the integration of the technology in a mixed traffic stream of autonomous, connected, and conventional vehicles.
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The Autonomous Maintenance Technology Pooled Fund, TPF 5(380) contracted with All Clear Emergency Management Group to develop, facilitate, and evaluate a Pooled Fund wide tabletop exercise involving the Autonomous Traffic Mobile Attenuator (ATMA)/Autonomous Impact Protection Vehicle (AIPV) crash. The scope of this summary report includes the design
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Congestion has been becoming a critical issue for transportation professionals as it increases travel time, energy use and pollutant emissions. Thanks to recent technology development of wireless communication and artificial intelligence, connected and autonomous vehicles (CAVs) become a promising and practical approach to increasing road capacity.
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As transportation technology continues to evolve, Autonomous Vehicles (AV) have the potential to disrupt the way we travel and require adjustments to our traditional transportation operations mode choice models. As AV become more widely available and increase in market share, there are predictions that a significant portion of the AV fleet will be
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As part of the City of Riverside’s Smart-City initiative, UC Riverside researchers have developed an Innovation Corridor testbed for enabling shared electric connected and automated transportation research. This Innovation Corridor testbed is located in Riverside California, and consists of a six-mile section of University Avenue between the UC Riv
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Connected and autonomous vehicle (CAV) technologies provide solutions to the existing problems of the transportation systems. As widely known, CAVs can communicate with each other so that they can have coordinated accelerating or decelerating movements. In this manner, CAVs only need a smaller headway which will lead to a higher roadway capacity. F
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LiDAR is an emerging technology that can provide detailed point-cloud measurements of objects. The purpose of this study is to investigate the use of LiDAR technology for accurate classification of trucks according to the established FHWA scheme along rural highway corridors as an alternative to in-pavement detector infrastructure - such as inducti
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Nearly 1 in 5 people in the US have a disability (more than 57 million) (U.S. Census Bureau), and people with disabilities use the automobile as a travel mode at significantly lower rates than people without disabilities (Bureau of Transportation Statistics). For example, people aged 18 to 64 with disabilities make 28% fewer trips per day (2.6 v. 3
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Automated Vehicles have been one of the most sought-after concepts to make transportation more effective and safer. No-occupant vehicles with automated driving systems (ADS) make up one such class of vehicles. These are primarily intended for goods transportation services. This vehicle class presents a body structure different than that of a passen
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Evaluation of VISSIM revealed that internal modeling of CAV has several limitations. For external modeling, two VISSIM interfaces are useful. The Component Object Model (COM)Application Programming Interface (API) is the superior approach for fetching data and modeling connectivity, whereas the External Driver Model (EDM) is a better tool for later
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To meet the expectation of multi-modal distributions from customers for last-mile delivery, a sustainable two-echelon E-Grocery delivery system is studied, which is motivated by the adaption of autonomous delivery robot (ADRs), parcel lockers in E-Grocery distribution industry. We formulate the multi-modal last mile system as a two-echelon location
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In 2016, the Valley Metro Regional Public Transportation Authority (Valley Metro) of the Greater Phoenix metropolitan area was awarded a grant as part of the Federal Transit Administration (FTA) Mobility on Demand (MOD) Sandbox program. Through the grant, Valley Metro and Waymo partnered to pilot the use of Waymo autonomous vehicles (AVs) as certif
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Recently, 2D detection in images has made significant progress owing to the emergence of a convolutional neural network (CNN), which can extract high-level features from the images. However, detecting objects in 3D instead of 2D space is an essential topic when building perception systems for autonomous driving. An autonomous vehicle (AV) needs to
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The deployment of autonomous vehicles (AVs) has been troubled by the soaring cost of operations and the public’s concerns about the safety and fairness issues potentially brought by the new mobility. As leading companies such as Waymo and Uber which have obtained permits to commercialize their robotaxi fleets domestically and overseas, it is urgent
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A survey was designed and conducted by inviting various AV industry players to practically answer one prime question "what transportation infrastructure improvements or modifications are needed to improve AV performance?" Based on the survey results, selected AV companies were interviewed. The purpose of the interviews was to have in-depth dialog w
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Older adults (>65 years) account for almost 20% of the population in the United States and prefer driving as their primary mode of transportation but are at greater risk for crash-related injuries and death, compared to younger drivers. Autonomous vehicles (AVs) may hold health and safety benefits for older drivers, if this segment of the populatio
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This project partially sponsored the organization of the 2021 International Symposium on Transportation Data and Modeling (ISTDM 2021), which aims to gather transportation researchers and practitioners across the globe for exploring the frontiers of big data, modeling and simulation to advance transportation research to support the connected, coope
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Understanding the contributing factors in more than 6 million vehicle crashes that occur annually in the U.S. is very challenging, and police officers investigating crashes need all the tools they can use to reconstruct the crash. Given that the Connected and Automated Vehicle (CAV) era is rapidly unfolding, this study seeks to leverage newly avail
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Automated, Connected, Electric, and Shared (ACES) technologies are rapidly evolving and will continue to impact development of vehicles, infrastructure, communities, commerce, and the economy. With rapidly evolving technology, it is difficult yet critical to maintain coordination and increase collaboration among research, development, testing, depl
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The last mile problem of E-grocery Distribution comprises one of the most costly and highest polluting components of the supply chain in which companies deliver goods to end customers. To reduce transport cost and fuel emissions, a new element of ground-based delivery services, autonomous delivery vehicles (ADVs), is included in the E-grocery distr
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