More Automated and Connected Vehicles Resources



Proactive Safety for Vulnerable Road Users Leveraging Digital Twin Technology

Source: Federal Highway Administration (FHWA)
Describes a new technology that leverages digital-twin (DT) technology to estimate likelihood of a crash in certain scenarios by predicting trajectories of vehicles and people walking, biking, and rolling, and creating collision warnings. A real-time synchronization between real and digital versions will be able to conduct simulations between people driving vehicles, people outside of the vehicle, and roadway conditions, and predict potential collisions.

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Vehicle Assessment Using Integrated Crash Avoidance and Crashworthiness Pedestrian Safety Test Procedures

Source: National Highway Traffic Safety Administration (NHTSA)
Summarizes pedestrian automatic emergency braking (PAEB) and crashworthiness (CW) test protocols, assessing vehicle safety systems' potential to reduce pedestrian risk in pedestrian-vehicle crashes.

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R&T Now: Interchanges

Source: Federal Highway Administration (FHWA)
Explains how FHWA’s Virtual Reality (VR) Laboratory uses 3D simulations to explore safety solutions for road users. Researchers test new technologies and conditions, studying responses to warnings and issues for pedestrians and bicyclists in controlled VR environments. Data helps inform the development of effective safety countermeasures.

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AMPO Performance Based Planning and Programming Working Group


The discussion covered an overview of the performance measures on safety, bridge and pavement condition, system performance, freight, CMAQ, and transit asset management.

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Preparing for the Future of Transportation: Automated Vehicles 3.0

Source: US Department of Transportation (USDOT)
Provides guidance for AVs and multimodal automation with strategies for integration and to address existing barriers to safety innovation.

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Autonomous Vehicle Information Library

Source: American Association of Motor Vehicle Administrators
Serves as a clearinghouse of information with resources from researchers, regulators, and the media.

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Planning for Walking and Cycling in an Autonomous-Vehicle Future

Source: Transportation Research Interdisciplinary Perspectives
Explores how connected and automated vehicles may affect pedestrian and bicyclist safety as well as local infrastructure and land use decisions.

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Automated Vehicles and Pedestrian Safety: Exploring the Promise and Limits of Pedestrian Detection

Source: American Journal of Preventive Medicine
Analyzes pedestrian fatalities and virtually reconstructs scenarios to model how sensor technology, like the kind currently being tested on automated vehicles, would or would not have changed the outcomes.

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PBIC Automated Vehicles University Course Module Series

Source: Pedestrian and Bicycle Information Center (PBIC) and Virginia Tech Transportation Institute
Provides a foundation and orientation for students and practitioners to learn more and join the conversation about the advancement of AVs and the safety and mobility for all road users.

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Navigating Smart Roads: Safeguarding Vulnerable Road Users Through Technology

Source: FHWA Public Roads Magazine
Describes testing the ability of connected vehicle technology to prevent crashes.

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FHWA’s Human Factors Biannual Highlight- Summer 2022

Source: Federal Highway Administration (FHWA)
Summer 2022 summary of research and resources from the FHWA Human Factors Team.

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FHWA’s Human Factors Biannual Highlight- Summer 2021

Source: Federal Highway Administration (FHWA)
Summer 2021 summary of research and resources from the FHWA Human Factors Team.

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FHWA’s Human Factors Biannual Highlight

Source: Federal Highway Administration (FHWA)
Winter 2021 summary of research and resources from the FHWA Human Factors Team.

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Ten Actions Needed by Developers Before Deployment of Automated Driving Systems Around Schools

Source: Pedestrian and Bicycle Information Center (PBIC)
Summarizes ten recommendations for automated driving system (ADS) developers to consider for broad deployment and safe operation around schools.

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Reading List – Automated Vehicles University Course Module Series

Source: Pedestrian and Bicycle Information Center
A university course series from PBIC provides a foundation and orientation for students and practitioners to learn more and join the conversation about the advancement of AVs and the safety and mobility for all road users.

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Automated Vehicles University Course Module Series

Source: Pedestrian and Bicycle Information Center
A university course series from PBIC provides a foundation and orientation for students and practitioners to learn more and join the conversation about the advancement of AVs and the safety and mobility for all road users.

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Preparing for the Future of Transportation: Automated Vehicles 3.0 (AV 3.0)

Source: US Department of Transportation
AV 3.0 includes six principles that guide U.S. DOT programs and policies on automation and five implementation strategies for how the Department translates these principles into action.

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Discussion Guide for Automated and Connected Vehicles, Pedestrians, and Bicyclists

Source: Pedestrian and Bicycle Information Center (PBIC) and Virginia Tech Transportation Institute
The guide provides an overview of key terms and discussion of important opportunities and challenges for automated vehicles, pedestrians, and bicyclists.

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"New Pedestrian Detector from Google Could Make Self-Driving Cars Cheaper

Source: The Institute of Electrical and Electronics Engineers (IEEE) Spectrum
A deep learning system works 60 times faster than previous methods.

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Deep Learning Makes Driverless Cars Better at Spotting Pedestrians

Source: The Institute of Electrical and Electronics Engineers (IEEE) Spectrum
Pedestrian detection systems for cars could become faster and more accurate with help from deep learning algorithms.

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The Bicyclists' Manifesto for an Autonomous Vehicle Future

Source: Planetizen
"Policy goals" won't be enough to protect bicyclists once the cars start driving themselves. Strong standards will be necessary to govern the interactions between cars and bikes in an autonomous future.

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Uber admits to self-driving car 'problem' in bike lanes as safety concerns mount

Source: The Guardian
Engineers were working to fix programming flaw that could have deadly results for cyclists days after Uber announced it would openly defy California regulators.

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The Self-Driving Car's Bicycle Problem

Source: Institute of Electrical and Electronics Engineers (IEEE) Spectrum
Uber's experiment in San Francisco showed that bicycles and bike lanes are a problem self-driving cars are struggling to crack.

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Autonomous Vehicles: Turn On, Tune In, Drop Out?

Source: Planetizen
The implications of autonomous vehicles for social interactions are potentially vast.

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Ten rules for cities about automated vehicles

Source: Congress for the New Urbanism
Traditional urbanism evolved over millennia to meet human needs. The adoption of AVs should not be allowed to replace time-tested places with something that would probably make our lives worse.

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Automated Vehicles Article Roundup

Source: University of North Carolina Department of City and Regional Planning
Weekly roundup of news articles that discuss pedestrian and bicycle safety implications of connected and automated vehicles. Compiled and maintained by UNC DCRP Masters student Will Leimenstoll.

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Automated Vehicles Symposium

Source: Transportation Research Board (TRB)
A TRB co-sponsored conference held annually brings together industry, government, and academia from around the world to address technology, operations, and policy issues.

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TRB Vehicle-Highway Automation Committee

Source: Transportation Research Board (TRB)
The TRB Vehicle-Highway Automation Committee examines a broad range of AV issues.

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Laying the Foundation for Vehicle-to-Pedestrian Communications

Source: Volpe
In this report, Volpe discusses common factors in vehicle-pedestrian collisions and how AV technology can potentially reduce such collisions.

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Social and behavioural questions associated with Automated Vehicles: A Literature Review

Source: UCL Transport Institute
This report from the UCL Transport Institute concludes most AV research focuses on technology and there is a need for more studies to address the social impacts of automated vehicles.

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Connected/Automated Vehicle Research Roadmap for AASHTO

Source: Association of State Highway Transportation Officials (AASHTO)
This National Cooperative Highway Research Program project (20-24[98]) developed a Connected/Automated Vehicle Research Roadmap addressing the policy, planning, and implementation issues that will face state and local transportation agencies.

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Autonomous Vehicle Information Library

Source: American Association of Motor Vehicle Administrators (AAMVA)
AAMVA's Autonomous Vehicle Information Library is a clearinghouse of information with resources from researchers, regulators, and the media.

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Preparing for New Mobility: Writing Effective Resolutions

Source: Alta Planning + Design
This resource offers background information on AV and related technologies that can be used when considering resolutions and updates to comprehensive and transportation.

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University of California, Davis

Source: UC Davis Institute of Transportation Studies
The UC Davis Institute of Transportation Studies issued a series of policy briefs on automated driving and other emerging issues.

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National Operations Center of Excellence

Source: National Operations Center of Excellence
This organization includes a searchable database of information on automated and connected vehicles and intelligent transportation system technologies.

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Association of MPOs AV Working Group

Source: Association of MPOs AV Working Group
This working group serves as a focal point for MPOs to engage with USDOT on connected and automated vehicle programs, policies, and issues. This page contains more information on the working group and a detailed list of resources and meeting presentations.

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Automated Vehicles Legislative Database

Source: National Conference of State Legislatures
The NCSL tracks state-level enacted legislation related to automated vehicles and maintains an AV Legislative Database.

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Eno Center

Source: Eno Center for Transportation
The Eno Center regularly covers AV-related policy news and is a resource for policy makers.

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Policy statement on automated vehicles

Source: National Association of City Transportation Officials (NACTO)
NACTO's policy statement on automated vehicles sets forth several guiding principles for the future of transportation planning.

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Intelligent Transportation Systems (ITS) Joint Program Office

Source: US Department of Transportation
Information on the USDOT's initiatives involving ITS, including a subpage on automated vehicle research.

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Environmental Justice Considerations for Connected and Automated Vehicles

Source: US Department of Transportation
This FHWA report highlights how automated vehicles could either address the needs of environmental justice populations or further transportation inequities.

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Connected Vehicles

Source: US Department of Transportation
This page explains connected vehicles and how they interact with vulnerable road users.

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FHWA Intelligent Transportation Systems website

Source: US Department of Transportation
The FHWA Intelligent Transportation Systems website offers research and programs to support adoption of intelligent vehicle and intelligent infrastructure technologies.

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Federal Automated Vehicles Policy: Accelerating the Next Revolution In Roadway Design

Source: US Department of Transportation
This report details Federal AV policy, includes a model for state AV policies, and issues guidance for AV design and development.

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Automated Vehicles website

Source: US Department of Transportation
The NHTSA Automated Vehicles website provides information on NHTSA policy, updates on technology and innovation, and answers to frequently asked questions.

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