Abstract: Systems and methods for providing kinematic and contextual comfort scores to autonomous vehicle rides. In particular, systems and methods are provided to automatically identify driving events such as unusual acceleration, braking, and steering events, and determine the severity of identified events. Some example events include a hard braking event, a swerve event, and a quick acceleration event. Automatic detection of such events allows for engineering feedback to autonomous vehicles and provides a tool for capturing passenger satisfaction and/or reactions with regard to specific events.

Abstract: A ride evaluation platform can evaluate ride services provided by AVs to users, e.g., to determine whether the users are satisfied with the rider services so that the users will request more ride services. The ride evaluation platform may identify and classify operational behaviors of an AV based on a record of the AV's operation for providing a ride service. The ride evaluation platforms can further detect defects in the ride service based on the classifications of operational behaviors of AVs, user expressions that indicate one or more user sentiments towards the ride service, one or more conditions of an environment in which the AV operated for providing the ride service, or some combination thereof. The ride evaluation platform may determine a score for the ride service based on the defects. The score may indicate a likelihood of the user would request another ride service provided by an AV.