A University of Michigan study is working to improve road safety by analyzing lane-changing patterns. Using GPS data and statistical methods, researchers can detect lane changes without relying on high-resolution maps or cameras, which are often unreliable. This new approach not only offers insights into driver behavior but also unlocks the potential of large datasets that were previously unusable.
