279. Scalable AV Deployment Starts with Fewer Close Calls

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.   We’d love to hear from you. Share your comments, questions and ideas for future topics and guests to [e-mail]. Don’t forget to take a moment to follow SAE Tomorrow Today—a podcast where we discuss emerging technology and trends in mobility with the leaders, innovators and strategists making it all happen—and give us a review on your preferred podcasting platform.   Follow SAE on LinkedIn, Instagram, Facebook, Twitter, and YouTube. Follow host Grayson Brulte on LinkedIn, Twitter, and Instagram.