Driver Risk Information

Information about driver risk will come in various forms. For example, it could show the times and locations where the driver is at risk (e.g., risk of a collision) the most. To get this information, the car sensors will collect information about the driver’s driving patterns. These patterns include elements such as the number of hard stops, the amount of weaving into lanes, the number of times the car almost collided with something in the environment (other cars, pedestrians, etc.) among others. AI will then analyze those trends, make predictions about driver risk, and communicate this information with the driver.