Truemotion, Inc.

Cambridge Mobile Telematics Inc.

Censio, Inc.

Joe Adelmann

Brad Cordova

Rafi Finegold

Philippe Bosshart

Matt McClure

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.

Mobile phone application and graphical user interface for detecting and visualizing driving events using mobile phone sensors

Methods and systems for presenting collected driving data

A method of determining a position of a mobile device in a vehicle during a drive includes measuring at least one first acceleration magnitude of the mobile device in a gravity direction with at least one sensor of the mobile device, measuring at least one second acceleration magnitude of the mobile device in the gravity direction with the at least one sensor of the mobile device, the at least one second acceleration magnitude separated in time from the at least one first acceleration magnitude, comparing the at least one first acceleration magnitude with the at least one second acceleration magnitude, and based on a result of the comparing, predicting the position of the mobile device in the vehicle.

Methods and systems for driver identification

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.

A method of determining a position of a mobile device in a vehicle includes obtaining accelerometer data collected using a accelerometer in the mobile device, obtaining angular orientation data collected using a gyroscope in the mobile device, and determining a start time of a driving event. The method also includes determining an entry side for the mobile device prior to the driving event, detecting an acceleration event, aligning the mobile device to a reference frame of the vehicle, and determining a front/back location of the mobile device. The method further includes detecting a braking event, determining an end time of the driving event, determining an exit side for the mobile device after the driving event, and determining the position of the mobile device during at least a portion of the driving event.

A system for collecting vehicle data includes a mobile device comprising a plurality of sensors, a memory, and a processor coupled to the memory. The processor is configured to perform operations including obtaining a plurality of movement measurements from at least one of the plurality of sensors in the mobile device, determining a plurality of transportation modes using the plurality of movement measurements, and determining a mode transition using the plurality of transportation modes. The operations also include determining a transition probability using the mode transition. The operations further include creating a transition model using the transition probabilities, determining that the transition model indicates that a probability that the second transportation mode comprises driving is above a threshold, obtaining a plurality of driving movement measurements from at least one of the plurality of sensors, and determining the vehicle data using the driving movement measurements.

Methods and systems for sensor-based driving data collection

A method of determining vehicle entry information for a user includes obtaining a yaw measurement using a mobile device, determining, using a processor, a first time span associated with a user entering a vehicle, and determining, using the processor, a second time span associated with a user exiting the vehicle. The method also includes determining that a change in magnitude over a portion of the yaw measurement is greater than a predetermined threshold over at least one of the first time span or the second time span and determining an angular change of the yaw measurement over the predetermined threshold. The method further includes associating right hand entry with the vehicle entry information if the angular orientation of the yaw measurement is clockwise and associating left hand entry with the vehicle entry information if the angular orientation of the yaw measurement is counter-clockwise.

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Cambridge, MA, United States of America

Joe Adelmann