Automated and Connected Vehicles

Automated vehicles (AVs) have the potential to improve mobility, safety, and accessibility for many road users, including pedestrians and bicyclists. Yet, there remain significant technical and social issues as well as regulatory considerations that need to be addressed before the safety potential of AVs can be fully realized for pedestrians and bicyclists. The PBIC paper, Discussion Guide for Automated and Connected Vehicles, Pedestrians, and Bicyclists, presents ten key challenge areas (and implications for policy and research) that need to be at the center of automated vehicle discussions across all sectors and stakeholders, along with a glossary of important terms and key references.

Following are additional resources that may help integrate pedestrian and bicycle considerations into plans, policies, research, and related initiatives.

Resources

US Department of Transportation

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

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

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

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.

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

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

Alta Planning + Design
Preparing for New Mobility: Writing Effective Resolutions: This resource offers background information on AV and related technologies that can be used when considering resolutions and updates to comprehensive and transportation plans.

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

Research Resources

Connected/Automated Vehicle Research Roadmap for AASHTO (2015): 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.

Social and behavioural questions associated with Automated Vehicles: A Literature Review (2017): 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.

Laying the Foundation for Vehicle-to-Pedestrian Communications (2017): In this report, Volpe discusses common factors in vehicle-pedestrian collisions and how AV technology can potentially reduce such collisions.

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

Automated Vehicles Symposium: A TRB co-sponsored conference held annually brings together industry, government, and academia from around the world to address technology, operations, and policy issues.

News

Planetizen, Jul. 2017. "Autonomous Vehicles: Turn On, Tune In, Drop Out?"

IEEE Spectrum, Jan. 2017. "The Self-Driving Car's Bicycle Problem"

The Guardian, Dec. 2016. "Uber admits to self-driving car 'problem' in bike lanes as safety concerns mount"

Planetizen, Sep. 2016. "The Bicyclists' Manifesto for an Autonomous Vehicle Future"

IEEE Spectrum, Feb. 2016. "Deep Learning Makes Driverless Cars Better at Spotting Pedestrians"

IEEE Spectrum, May 2015. "New Pedestrian Detector from Google Could Make Self-Driving Cars Cheaper"