Jordan SilberlingJordan has been with DRI for 13+ years. He started his career in engineering with aerospace companies such as Honeywell and Crane. He is currently involved in the development and application of advanced crash avoidance technology (ACAT) assessment methodology. This has included the development of the control and algorithm design for the Guided Soft Target crash test system, and the development and application of reconstruction methodology for head-on crashes including ACAT system factors. He has a passion for making automobiles safer and more reliable by focusing on advanced systems for safety, driver assistance, automation and handling.
Application of an extended Collision Avoidance Capability metric to collision
AV developers seek metrics to quantify the safety of their vehicles. The Collision Avoidance Capability (CAC) metric evaluates the ability of a vehicle to avoid a collision in all potential scenarios. The CAC calculation evaluates all possible courses of action within a vehicle’s performance limitations, including combinations of braking, accelerating and steering. When a potential conflict with another object is present, the CAC classifies all courses of action as either successful (avoiding a collision) or unsuccessful (resulting in a collision). The CAC metric has been applied to the results of collision-imminent braking NCAP tests for several vehicles.