A method, comprising: capturing training acceleration data by a first 3-axis accelerometer of a first telematics device (200_2) deployed in a first vehicle (100_2) and having any orientation; receiving, at a telematics server including a central reversing determination machine-learning model, training data comprising: the training acceleration data captured by the first 3-axis accelerometer, and a known output label in the form of a vehicle-provided reversing indication from the first telematics device (200_2), including: a vehicle speed, provided by the first vehicle (100_2) to the first telematics device (200_2), which is greater than zero; and a reverse gear indication, provided by the first vehicle (100_2) to the first telematics device (200_2) via an asset communications bus and an interface port of the first vehicle (100_2); training, by the telematics server, the central reversing determination machine-learning model using the training acceleration data and the vehicle-provided reversing indication; capturing, by a second 3-axis accelerometer in a second telematics device (200_1) having any orientation and deployed in a second vehicle (100_1) which does not provide a reverse gear indication via an asset communications bus thereof, captured acceleration data for the second vehicle (100_2); sending, by the second telematics device (200_), the captured acceleration data to the telematics server; receiving, by the telematics server, the captured acceleration data from the second telematics device (200_1); determining, by the central reversing determination machine-learning model, a machine-learning-determined reversing indication for the second vehicle (100_1) based on the captured acceleration data captured by the second telematics device (200_1); sending, by the telematics server, the machine-learning-determined reversing indication for the second vehicle (100_1) to the second telematics device (200_1); and generating an alert by the second telematics device (200_1), in response to receiving the machine-learning-determined reversing indication for the second vehicle (100_1). capturing training acceleration data by a first 3-axis accelerometer of a first telematics device (200_2) deployed in a first vehicle (100_2) and having any orientation; receiving, at a telematics server including a central reversing determination machine-learning model, training data comprising: the training acceleration data captured by the first 3-axis accelerometer, and a known output label in the form of a vehicle-provided reversing indication from the first telematics device (200_2), including: a vehicle speed, provided by the first vehicle (100_2) to the first telematics device (200_2), which is greater than zero; and a reverse gear indication, provided by the first vehicle (100_2) to the first telematics device (200_2) via an asset communications bus and an interface port of the first vehicle (100_2); the training acceleration data captured by the first 3-axis accelerometer, and a known output label in the form of a vehicle-provided reversing indication from the first telematics device (200_2), including: a vehicle speed, provided by the first vehicle (100_2) to the first telematics device (200_2), which is greater than zero; and a reverse gear indication, provided by the first vehicle (100_2) to the first telematics device (200_2) via an asset communications bus and an interface port of the first vehicle (100_2); a vehicle speed, provided by the first vehicle (100_2) to the first telematics device (200_2), which is greater than zero; and a reverse gear indication, provided by the first vehicle (100_2) to the first telematics device (200_2) via an asset communications bus and an interface port of the first vehicle (100_2); training, by the telematics server, the central reversing determination machine-learning model using the training acceleration data and the vehicle-provided reversing indication; capturing, by a second 3-axis accelerometer in a second telematics device (200_1) having any orientation and deployed in a second vehicle (100_1) which does not provide a reverse gear indication via an asset communications bus thereof, captured acceleration data for the second vehicle (100_2); sending, by the second telematics device (200_), the captured acceleration data to the telematics server; receiving, by the telematics server, the captured acceleration data from the second telematics device (200_1); determining, by the central reversing determination machine-learning model, a machine-learning-determined reversing indication for the second vehicle (100_1) based on the captured acceleration data captured by the second telematics device (200_1); sending, by the telematics server, the machine-learning-determined reversing indication for the second vehicle (100_1) to the second telematics device (200_1); and generating an alert by the second telematics device (200_1), in response to receiving the machine-learning-determined reversing indication for the second vehicle (100_1).