Method for identifying and/or classifying an occupant of a vehicle (41, 42,43,...) based on sensory data measured by a plurality of sensors of a cellular mobile device of the occupant (6/61/62), the plurality of sensors at least comprising an accelerometer and a gyroscope, the mobile device comprising one or more wireless connections, wherein by at least one of the wireless connections, the cellular mobile device acts as a wireless node (221, 225) within a cellular data transmission network by means of antenna connections of the cellular mobile device to the cellular data transmission network, and the plurality of sensors being connected to a monitoring mobile node application of the mobile device, wherein the monitoring mobile node application captures usage-based and/or user-based telematics data of the cellular mobile device, wherein the mobile device measures gravitational acceleration movement sensory data based on measuring parameters obtained from the accelerometer and corresponding gyroscope movement sensory data based on measuring parameters obtained from the gyroscope, wherein vehicle (41,42,...) entering or exiting movement patterns of the occupant are detected from the acceleration movement sensory data at least comprising entering or exiting movement patterns for base axis and degree of rotation associated with a vehicle entering or exiting movement of the occupant (6/61/62), wherein the detected vehicle entering or exiting movement patterns of the occupant trigger as input features a recognition of the vehicle entering or exiting movement of the occupant wherein the gyroscope movement sensory data are used to select at least verse and degree of the rotation associated to the vehicle entering or exiting movement, and wherein a decision-tree classification is performed on the input features to rule out whether the occupant entered or exited from a left or right side of the vehicle, characterized, in that a moment the occupant is entering or exiting the vehicle (41, 42,43,...) is detected, by detecting an acceleration in the up/down directions related to an earth reference system from the acceleration movement sensory data and by measuring the variance of discontinuities in the acceleration signals in a smartphone reference system, wherein the gravitational acceleration movements are correlated with the orientation of the mobile device building the smartphone reference system, wherein the variance of the acceleration in the up/down direction (var(a z)) at a certain time is generated over a fixed time window centered around the certain time, wherein the variance of the acceleration in the up/down direction depends on the length of the time window, and wherein the length of the time window is set to 1s or more ensuring sampling of a full oscillation. wherein the mobile device measures gravitational acceleration movement sensory data based on measuring parameters obtained from the accelerometer and corresponding gyroscope movement sensory data based on measuring parameters obtained from the gyroscope, wherein vehicle (41,42,...) entering or exiting movement patterns of the occupant are detected from the acceleration movement sensory data at least comprising entering or exiting movement patterns for base axis and degree of rotation associated with a vehicle entering or exiting movement of the occupant (6/61/62), wherein the detected vehicle entering or exiting movement patterns of the occupant trigger as input features a recognition of the vehicle entering or exiting movement of the occupant wherein the gyroscope movement sensory data are used to select at least verse and degree of the rotation associated to the vehicle entering or exiting movement, and wherein a decision-tree classification is performed on the input features to rule out whether the occupant entered or exited from a left or right side of the vehicle, characterized, in that a moment the occupant is entering or exiting the vehicle (41, 42,43,...) is detected, by detecting an acceleration in the up/down directions related to an earth reference system from the acceleration movement sensory data and by measuring the variance of discontinuities in the acceleration signals in a smartphone reference system, wherein the gravitational acceleration movements are correlated with the orientation of the mobile device building the smartphone reference system, wherein the variance of the acceleration in the up/down direction (var(a z)) at a certain time is generated over a fixed time window centered around the certain time, wherein the variance of the acceleration in the up/down direction depends on the length of the time window, and wherein the length of the time window is set to 1s or more ensuring sampling of a full oscillation.