As self-driving technology rapidly advances, how will autonomous vehicles safely coexist with cyclists?
Argo AI, a leading self-driving technology company founded in 2016, and the League of American Bicyclists developed a set of six technical guidelines for safe interactions between autonomous vehicles and cyclists on roads. The guidelines provide a framework for the development and deployment of self-driving technology around cyclists and what cyclists and members of the public should expect from self-driving vehicles.
In this session you learn more about the technical guidelines, the process for developing the guidelines with the League and additional insight into Argo AI operations in eight cities across the U.S. and Germany.
Learning Objectives
Understand Autonomous Vehicle Technology Levels: Explain the SAE International levels of autonomy (0-5) and identify the current operational capabilities of autonomous vehicles, focusing on level 4 autonomy within defined boundaries.
Evaluate Cyclist Safety Integration: Analyze how autonomous vehicles can predict cyclist behavior and implement safe vehicle trajectories, applying the six guidelines developed by Argo AI and the League of American Bicyclists.
Assess Urban Mobility Impacts: Describe how autonomous vehicles can alleviate urban congestion and enhance safety for all road users, including cyclists and pedestrians, in diverse city environments.
Explore Community Engagement Strategies: Identify methods for engaging stakeholders, such as bike groups and local governments, to ensure autonomous vehicle deployment aligns with community transportation priorities.
Recognize Testing and Safety Protocols: Understand the four-step testing process for autonomous vehicles, including simulation, closed-course testing, and public road testing, emphasizing safety as the primary focus.
