More Automated and Connected Vehicles Resources
Considerations for Deploying Automated Driving Systems Around Schools
Source: Pedestrian and Bicycle Information Center (PBIC)
Summarizes the challenges of automated driving systems (ADS) around K-12 schools and provides ten recommendations for ADS developers and local stakeholders to consider prior to broad deployment of automated vehicles around schools.
Read More >Source: Pedestrian and Bicycle Information Center (PBIC)
Access resources from the Pedestrian and Bicycle Information Center referenced at the Safe Routes to School 2019 Conference.
Read More >Source: Federal Highway Administration (FHWA)
The FHWA Bicycle and Pedestrian Transportation University Course is designed to help educators inspire the next generation of practitioners to support safe, vibrant, and multimodal transportation systems.
Read More >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.
Read More >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.
Read More >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.
Read More >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.
Read More >"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.
Read More >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.
Read More >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.
Read More >
