Google Inc.

Eli Brandt

Stephen David Zelinka

Bradley Templeton

Embodiments described herein may help to protect users' privacy when storing and/or utilizing location data that is provided by the users' mobile devices. An example method may involve: (a) determining a location history associated with a first client device, wherein the location history comprises a plurality of time-stamped location reports associated with the first client device, (b) before the location history is exported: (i) identifying at least one stop in the location history, wherein the at least one stop corresponds to a plurality of location reports that indicate a substantial lack of movement by the first client device, and (ii) scrubbing the location history in order to obscure at least one location report that corresponds to the at least one stop, and (c) exporting the scrubbed location history to long-term data storage.

Device location history anonymization based on stop decision

Device location history anonymization based on stop detection

Systems and methods are provided for determining the mode of travel of a location aware device. Data from the location aware device is received, which includes location aware data about the speed, location, and navigational route of the location aware device and data about the connection of the location aware device to a power source. These features of data from the location aware device are used to determine the mode of travel of the location aware device. The data from the location aware device can also be used to determine preferred routes of navigation, speed of roads, and traffic on roads.

Mobile state determination of location aware devices

Methods and devices for using position logs of vehicles to determine the presence and behavior of traffic controls are disclosed. An example method includes receiving movement data that is indicative of movement of a plurality of vehicles through an intersection. The movement data may be received by a computing device and may include, for each respective vehicle, data indicative of the respective vehicle's position as a function of time for multiple instances of time. The method may further include detecting a pattern in the movement data using the computing device. The detected pattern may be indicative of a probable traffic control for the intersection. According to the method, an indication of the probable traffic control for the intersection may be stored in a database.

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Seattle, WA, United States of America

Eli Brandt