279. Scalable AV Deployment Starts with Fewer Close Calls

SAE Tomorrow Today

The hallmark of exceptional autonomous driving technology isn’t just how it reacts in a crisis but how it avoids one altogether. That’s the vision behind May Mobility: a world where self-driving cars confidently navigate busy intersections, unexpected detours, and pedestrian-filled crosswalks with the instincts of a seasoned human driver.

At the core of May Mobility’s technology platform is its patented Multi-Policy Decision Making (MPDM) system. This breakthrough technology uses real-time, in-situ AI to interpret data,

continuously learning and adapting to new, complex, and unpredictable driving conditions. By learning on the fly—much like a human driver—May Mobility’s AVs can be deployed faster and more cost-effectively than traditional systems.

To explore how May Mobility is scaling its AV technology, we spoke with Ed Olson, CEO and

Founder, about the company’s city-wide AV deployments, strategic partnerships with Toyota and NTT, and its entrance into the rideshare market through a new collaboration with Lyft. It’s an engaging, behind-the-scenes look at how AI-powered mobility solutions are transforming urban transportation and paving the way for safer, smarter roads.

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