
In this episode, Dr. Lance Elliott explores the contentious practice of zipper merging and how it challenges both human drivers and emerging AI-driven autonomous vehicles. He outlines the two main driver philosophies—early merge versus late merge—highlighting the safety and efficiency arguments each side presents, and notes that simulations often favor late merging but rarely account for real‑world human error. Elliott then examines how Level 4 and Level 5 self‑driving cars could use vehicle‑to‑vehicle (V2V) communication to coordinate merges seamlessly, likening it to a flock of birds moving in harmony. He concludes that while full AI coordination may eventually reduce merge conflicts, the coexistence with millions of human‑driven cars in the United States will keep the problem alive for the foreseeable future.

In this episode, Dr. Lance Elliott explores whether AI-driven Level 4 and Level 5 self‑driving cars can recognize that they have been involved in a crash. He explains that unlike human drivers, autonomous systems lack bodily sensations, so crash detection...