Abstract: A method for determining a transportation mode acquires magnetometer and speed data from a mobile device, correlates the magnetometer to the speed data in groupings, and performs spectral analysis on the groups of magnetometer data. Energy calculated for each of a set of frequency components obtained from the spectral analysis is compared to a baseline value to generate a difference, and a transportation mode type is assigned to the vehicle based on the difference.

Abstract: A method includes collecting motion data from a sensor of a mobile device disposed in a vehicle and processing, using at least one of a processor of the mobile device or a server remote from the mobile device, the motion data to identify a user of the mobile device as a driver of the vehicle. The method also includes detecting, using the motion data and at least one of the processor or the server, a hard braking event, generating an alert based on the detection of the hard braking event, and notifying the user, through the mobile device, of the hard braking event using the alert.

Abstract: A system includes: a mobile device comprising a plurality of sensors; a display device; a memory that stores instructions; and a processor. The processor is configured to execute the instructions to: operate the plurality of sensors over a plurality of time intervals during a trip in a vehicle to collect driving data; detect, using the driving data, a driving event that occurred during the trip and cause the mobile device to collect additional data associated with the trip in response; receive the additional data associated with the trip; determine that a vehicle accident event occurred during the trip based on the driving data and the additional data; and cause the display device to output an indication of the vehicle accident event.

Abstract: A method for determining a transportation mode acquires magnetometer and speed data from a mobile device, correlates the magnetometer to the speed data in groupings, and performs spectral analysis on the groups of magnetometer data. Energy calculated for each of a set of frequency components obtained from the spectral analysis is compared to a baseline value to generate a difference, and a transportation mode type is assigned to the vehicle based on the difference.

Abstract: A method for determining usage of a mobile device in a vehicle by a user includes receiving a first value indicating an “off” state of a screen of the mobile device at a first time, obtaining first movement measurements, and computing a gravity diff angle (GDA) value for the first movements. The method also includes determining that the GDA value exceeds a predefined GDA threshold value, computing summary statistics for the first movements, and classifying the summary statistics as corresponding to mobile device usage starting. The method further includes classifying the first movements of the mobile device as usage movements in response to determining that the GDA value exceeds the predefined GDA threshold, classifying the summary statistics as corresponding to mobile device usage starting, or both, and generating an indication of mobile device usage in response to classifying the first movements of the mobile device as usage movements.

Abstract: A method for detecting airbag deployment includes operating a plurality of sensors of the mobile device disposed in a vehicle during a drive to obtain a plurality of measurement signals, determining a change in at least one measurement signal of the plurality of measurement signals and that the change exceeds a first threshold. In response to determining that the change exceeds the first threshold, obtaining a pressure measurement signal from a pressure sensor of the plurality of sensors, determining a derivative of the pressure measurement signal, and determining that the derivative of the pressure measurement signal exceeds a second threshold. In response to determining that the derivative of the pressure measurement signal exceeds the second threshold, detecting a deployment of a vehicle airbag based on the change in the at least one measurement signal exceeding the first threshold and the derivative of the pressure measurement signal exceeding the second threshold.

Abstract: Embodiments 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 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, predicting, detecting, and reconstructing vehicle accidents.

Abstract: According to some embodiments of the invention, movement measurements may be obtained from a movement sensor (e.g., an accelerometer) of a mobile device in a vehicle. In addition, location measurements may be obtained from a location sensor (e.g., a GPS) of the mobile device in the vehicle. The movement measurements and the location measurements may be cross-referenced to each other to remove erroneous measurements, such as physically impossible measurements. The remaining measurements may be used to draw conclusions about the movements or locations, such as to identify a movement event (e.g., a braking event, an acceleration event, or the like).

Abstract: A method for determining usage of a mobile device in a vehicle by a user includes receiving a first value indicating an “off” state of a screen at a first time, operating at least one sensor of the mobile device to obtain first movement measurements, and classifying the first movements as usage movements. The method also includes generating an indication of mobile device usage, receiving a second value indicating an “on” state of the screen at a second time, operating the at least one sensor to obtain second movement measurements, and classifying the second movements as usage movements or non-usage movements. The method further includes maintaining the indication of mobile device usage in response to the second movements being classified as usage movements or changing the indication of mobile device usage to an indication of mobile device non-usage in response to the second movements being classified as non-usage movements.

Abstract: A method for detecting airbag deployment includes operating a plurality of sensors of the mobile device disposed in a vehicle during a drive to obtain a plurality of measurement signals, determining a change in at least one measurement signal of the plurality of measurement signals and that the change exceeds a first threshold. In response to determining that the change exceeds the first threshold, obtaining a pressure measurement signal from a pressure sensor of the plurality of sensors, determining a derivative of the pressure measurement signal, and determining that the derivative of the pressure measurement signal exceeds a second threshold. In response to determining that the derivative of the pressure measurement signal exceeds the second threshold, detecting a deployment of a vehicle airbag based on the change in the at least one measurement signal exceeding the first threshold and the derivative of the pressure measurement signal exceeding the second threshold.

Abstract: A method of providing a quaternion for reference frame transformation includes (a) initiating a driving event in a vehicle having a vehicle reference frame and (b) receiving, from a mobile device, mobile device data associated with a time stamp. The method also includes (c) computing a quaternion operable to transform the mobile device data to the vehicle reference frame and (d) determining if the driving event is complete. The method further includes incrementing the time stamp and iterating steps (a), (b), (c), and (d) if the driving event is not complete and providing the quaternion for reference frame transformation if the driving event is complete.

Abstract: A system for pattern-based identification of a driver of a vehicle includes a mobile device; and a server configured to communicate with the mobile device. The mobile device collects movement information during a driving trip via one or more sensors in the mobile device, and communicates the collected movement information to a server. The server analyzes the movement information via a classifier, identifies driving features for the driver based at least in part on the analysis of the movement information, creates an identification model for the driver based on identified driving features, and stores the identification model.

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 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, predicting, detecting, and reconstructing vehicle accidents.

Abstract: A method for determining usage of a mobile device in a vehicle by a user includes receiving a first value indicating an “off” state of a screen at a first time, operating at least one sensor of the mobile device to obtain first movement measurements, and classifying the first movements as usage movements. The method also includes generating an indication of mobile device usage, receiving a second value indicating an “on” state of the screen at a second time, operating the at least one sensor to obtain second movement measurements, and classifying the second movements as usage movements or non-usage movements. The method further includes maintaining the indication of mobile device usage in response to the second movements being classified as usage movements or changing the indication of mobile device usage to an indication of mobile device non-usage in response to the second movements being classified as non-usage movements.

Abstract: A method of determining a mode of transportation includes: collecting trip data utilizing sensors included in a mobile device during a trip; receiving contextual data related to a transportation system; forming one or more segments using the collected trip data; determining that at least one of the one or more segments is not associated with an airplane; determining that the at least one of the one or more segments is not associated with a train; determining that the at least one of the one or more segments is not associated with a bus; marking the at least one of the one or more segments as associated with a car.

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: A method for determining a transportation mode acquires magnetometer and speed data from a mobile device, correlates the magnetometer to the speed data in groupings, and performs spectral analysis on the groups of magnetometer data. Energy calculated for each of a set of frequency components obtained from the spectral analysis is compared to a baseline value to generate a difference, and a transportation mode type is assigned to the vehicle based on the difference.

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 of orienting a mobile device to a vehicle includes determining an orientation of a gravity vector and aligning a first axis of the mobile device with respect to the gravity vector. The method also includes determining an orientation of a magnetic direction and aligning a second axis of the mobile device with respect to the magnetic direction. The method further includes determining a direction of travel for the vehicle and orienting the mobile device to the vehicle.

Abstract: 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.