How can reliable, effective, and achievable lateral lane positioning for vehicles be achieved? The conclusion of this report is that there are two promising directions that the industry will continue to pursue for positioning solutions: First, lateral positioning could be achieved through sensors in combination with some sort of predefined map, whether this is an HD map or a ground rock map. Second, this could be achieved through real-time processing that uses machine learning to combine standard maps with perception and cellular data. The following report divides methods of keeping vehicles from crossing into opposing lanes into physical solutions and digital solutions. Physical solutions, such as rumble strips or median barriers are highly effective means of keeping vehicles from lethal head-on collisions. However, physical solutions alone are relatively ineffective at providing vehicles with the information they need for lateral positioning. Digital solutions are the most promising for lateral vehicle positioning in real-time.