Abstract: A method for optimizing climate control in an autonomous vehicle. The method includes receiving a ride request for an autonomous vehicle from a customer. A desired temperature for an interior of the autonomous vehicle may be determined based on the ride request. The current temperature of the vehicle interior may then be adjusted such that the current temperature substantially matches the desired temperature when the autonomous vehicle reaches the customer. The temperature of the vehicle interior may be allowed to deviate from the desired temperature, within a pre-determined temperature deviation range, when the autonomous vehicle is unoccupied. A corresponding system and computer program product are also disclosed and claimed herein.

Abstract: A server includes a memory storing a shared pool of user defined vehicle settings packages and may determine, from the shared pool, one or more settings packages meeting a search request. For each determined settings package, the server may determine compatibility of the determined settings package with configurable systems of a vehicle associated with the search request. The server may also present a selectable list of determined settings packages that are also determined to have a predefined minimum level of compatibility with the vehicle and download a selected settings package to the vehicle, responsive to selection of the selected settings package from the selectable list.

Abstract: A system includes a processor configured to determine that travel data, reflecting previous travel, exists for an upcoming route segment. The processor is also configured to derive a fuel-efficient control strategy for the upcoming segment, based on fuel efficient behavior reflected in the travel data. The processor is further configured to execute the control strategy in a vehicle while the vehicle travels over the route segment to instruct vehicle control in accordance with the control strategy for at least a portion of the segment.

Abstract: A server includes a memory storing a shared pool of user defined vehicle settings packages and may determine, from the shared pool, one or more settings packages meeting a search request. For each determined settings package, the server may determine compatibility of the determined settings package with configurable systems of a vehicle associated with the search request. The server may also present a selectable list of determined settings packages that are also determined to have a predefined minimum level of compatibility with the vehicle and download a selected settings package to the vehicle, responsive to selection of the selected settings package from the selectable list.

Abstract: A method for optimizing climate control in an autonomous vehicle. The method includes receiving a ride request for an autonomous vehicle from a customer. A desired temperature for an interior of the autonomous vehicle may be determined based on the ride request. The current temperature of the vehicle interior may then be adjusted such that the current temperature substantially matches the desired temperature when the autonomous vehicle reaches the customer. The temperature of the vehicle interior may be allowed to deviate from the desired temperature, within a pre-determined temperature deviation range, when the autonomous vehicle is unoccupied. A corresponding system and computer program product are also disclosed and claimed herein.

Abstract: A system includes a processor configured to determine that travel data, reflecting previous travel, exists for an upcoming route segment. The processor is also configured to derive a fuel-efficient control strategy for the upcoming segment, based on fuel efficient behavior reflected in the travel data. The processor is further configured to execute the control strategy in a vehicle while the vehicle travels over the route segment to instruct vehicle control in accordance with the control strategy for at least a portion of the segment.