Abstract: Example aspects of the present disclosure relate to demand shaping by adjusting signals to shift system resource utilization. An example method includes accessing data associated with batched service instances for a batch delivery window. The method includes determining a probability that a user initiates a service instance outside of the batch delivery window is greater than a probability for initiating the service instance within the window. Responsive to determining the first probability is greater than the second probability, determining an incentive predicted to increase the probability of the service instance within the batch delivery window. The method includes generating a selectable user interface element including an indication of the incentive associated with the batch delivery window.

Abstract: Systems and methods for real-time multi-order batching using multiple couriers. The method includes determining that a walker courier can pick up a walking portion of a first order request and a second order request. The method includes determining that the walker courier can pick up the second order items based on (i) a current location of a computing device associated with the first walker courier, (ii) estimated time of preparation for the second item associated with the second order request, and (iii) an estimated item of arrival for the vehicle courier to a merchant area associated with the first order request and the second order request. Based on progress of assigned vehicle couriers, the transition point for the walker courier to met the vehicle courier can be computed and transmitted to the respective computing devices.

Abstract: Blended operator and autonomous control in an autonomous vehicle, including: receiving sensor data from a plurality of sensors of an autonomous vehicle; determining, based on the sensor data, a degree of autonomous control for each control input of a plurality of control inputs; and applying the degree of autonomous control for each control input of the plurality of control inputs.

Abstract: Blended operator and autonomous control in an autonomous vehicle, including: receiving sensor data from a plurality of sensors of an autonomous vehicle; determining, based on the sensor data, a degree of autonomous control for each control input of a plurality of control inputs; and applying the degree of autonomous control for each control input of the plurality of control inputs.

Abstract: Detecting operator contact with a steering wheel, including: applying a torque to at least a portion of a steering system of an autonomous vehicle; identifying a measured torque for a steering wheel of the autonomous vehicle; calculating, based on the applied torque, an expected torque for the steering wheel; and determining, based on a difference between the measured torque and the expected torque, whether an operator of the autonomous vehicle is in contact with the steering wheel.