Abstract: Methods and devices for identifying a driver of a vehicle are provided. Embodiments collect vehicle and driving data using a mobile device of a user. The collected data may be used to estimate whether a user of the mobile device is a driver or a passenger in a vehicle. Data collected using the mobile device may be analyzed to determine when the user is engaging in distracted driving behavior.

Abstract: Methods and systems are disclosed for detecting physical interaction with an electronic device. Gyroscopic data may be received from gyroscopic sensors incorporated within the electronic device. A set of frequency bands may be defined for each axis of the plurality of axes. A frequency in which each value of the gyroscopic data is included in the gyroscopic data may be determined. The values associated with each frequency of a frequency band may be aggregated to generate a magnitude for the frequency band. A probability may be determined using the modified magnitude associated with each frequency band. If the probability exceeds a threshold then an indication that the user is physically interacting with the electronic device may be transmitted to a remote device.

Abstract: Methods and devices for identifying a driver of a vehicle are provided. Embodiments collect vehicle and driving data using a mobile device of a user. The collected data may be used to estimate whether a user of the mobile device is a driver or a passenger in a vehicle. Data collected using the mobile device may be analyzed to determine when the user is engaging in distracted driving behavior.

Abstract: Embodiments of the present invention meet this need and others by providing systems and methods for detecting and assessing distracted drivers. Embodiments collect vehicle and driving data using a mobile device of a user. In a particular embodiment, data collected using the mobile device is analyzed to determine when the user is engaging in distracted driving behavior.

Abstract: Methods and systems include receiving a set of modifiers associated with driving behaviors, generating a subset of the set of modifiers, and transmitting the subset to a mobile device of a driver of a vehicle. The methods and systems include detecting, using the mobile device, a first action of the driver during a drive of the vehicle, pushing one or more modifiers from the subset to the mobile device, and receiving, from the mobile device, a first data corresponding to a first behavior of the driver in response to the pushing of the one or more modifiers. The methods and systems further include detecting changes from the first action to a second action of the driver based on the first data, altering the subset of modifiers to an updated subset of modifiers based on the detecting, and transmitting the updated subset of modifiers to the mobile device of the driver.

Abstract: Embodiments of the present invention meet this need and others by providing systems and methods for detecting and assessing distracted drivers. Embodiments collect vehicle and driving data using a mobile device of a user. In a particular embodiment, data collected using the mobile device is analyzed to determine when the user is engaging in distracted driving behavior.

Abstract: Embodiments of the present invention utilize mobile devices to provide information on a user's behaviors during transportation. For example, a mobile device carried by a user can be used to detect and analyze driving behavior. Important driving behaviors that can be identified by some embodiments are device usage behavior and device interaction behavior, which is indicative of distraction or inattentiveness to one or more driving tasks.

Abstract: A system for reporting accident data includes: a mobile device having a plurality of sensors; a memory; and a processor coupled to the memory. The processor is configured to perform operations including: operating the plurality of sensors to collect driving data; receiving the driving data collected over a plurality of time intervals from at least one of the plurality of sensors in the mobile device of a user during a trip in a vehicle, assigning the driving data to the trip; receiving input indicating the trip is associated with an accident, wherein the input includes additional data associated with the accident; transmitting the driving data assigned to the trip associated with the accident; and transmitting the additional data associated with the accident.

Abstract: Embodiments of the present invention meet this need and others by providing systems and methods for detecting and assessing distracted drivers. Embodiments collect vehicle and driving data using a mobile device of a user. In a particular embodiment, data collected using the mobile device is analyzed to determine when the user is engaging in distracted driving behavior.

Abstract: Embodiments of the present invention utilize mobile devices to provide information on a user's behaviors during transportation. For example, a mobile device carried by a user can be used to detect and analyze driving behavior. Important driving behaviors that can be identified by some embodiments are device usage behavior and device interaction behavior, which is indicative of distraction or inattentiveness to one or more driving tasks.

Abstract: Embodiments of the present invention utilize mobile devices to provide information on a user's behaviors during transportation. For example, a mobile device carried by a user can be used to detect and analyze driving behaviors during trips in vehicles. The mobile device can further be used to assign and display scores relating to the driving behaviors, scores for individual trips, and an overall driving score for the particular user.

Abstract: Some embodiments of the present invention utilize mobile devices to make an individualized prediction regarding whether a user is a driver of a vehicle on a given driving event. For example, a mobile device carried by a user can be used to detect and analyze behavior indicative of driving. Driver predictions based on this behavior can be combined with a user-estimated driver valuation metric for all driving events to generate an individualized driver prediction for a particular driving event.

Abstract: Embodiments of the present invention utilize mobile devices to provide information on a user's behaviors during transportation. For example, a mobile device carried by a user can be used to detect and analyze driving behavior. The mobile device can further be used to provide alerts based on driving behavior and to encourage and track modification of driving behavior.

Abstract: Embodiments of the present invention meet this need and others by providing systems and methods for detecting and assessing distracted drivers. Embodiments collect vehicle and driving data using a mobile device of a user. In a particular embodiment, data collected using the mobile device is analyzed to determine when the user is engaging in distracted driving behavior.

Abstract: Embodiments of the present invention relate to transportation systems. More particularly, embodiments relate to methods and systems of vehicle data collection by a user having a mobile device. In a particular embodiment, vehicle movement data (also termed herein “driving data” or “data”) is collected, analyzed and transformed, and combinations of collected data and transformed data are used in different ways, including, but not limited to, reporting and display of the combinations.

Abstract: A method, apparatus and computer program product for providing late return detection of a shared vehicle is presented. A computer system determines an end time of a first reservation of a shared vehicle by a first member of a vehicle sharing service. Then a location of the shared vehicle is determined at a first predetermined time before the end time of the first reservation. Based on the end time of the first reservation and the location of the shared vehicle, a potential late return of the shared vehicle is determined. If the shared vehicle return will be late, then at least one of the first member and a representative of the vehicle sharing service are notified so appropriate actions can be taken.