Abstract: A method for inferring a status asset information from data of a first type gathered by a first asset tracking device is provided. The method includes determining that a first asset tracking device coupled to a first asset and a second asset tracking device coupled to a second asset are travelling together, that the first asset tracking device has a first operating mode, and that the second asset tracking device has a second operating mode, which is different from the first operating mode of the first asset tracking device. In response, the second asset tracking device enters into a low-power mode in which it either does not gather data of the first type or does so at a reduced rate. Status information related to the second asset may be inferred from data of the first type gathered by the first asset tracking device.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for the for identifying in real time unpredictable network communication faults based upon pre-processed raw telematics big data logs that may include GPS data and an indication of vehicle status data, and supplemental data that may further include location data and network data.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for the real time generation and transformation of raw telematics big data into analytical telematics big data that includes raw telematics big data and supplemental data.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for identifying in real time unpredictable network communication faults in network zones based upon pre-processed raw telematics big data logs that may include gps data and an indication of vehicle status data, and supplemental data that may further include location data and network data.

Abstract: A method and apparatus in a vehicular telemetry system for determining accelerometer thresholds based upon decoding a vehicle identification number (VIN).

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for identifying in real time unpredictable network communication faults in network zones based upon pre-processed raw telematics big data logs that may include GPS data and an indication of vehicle status data, and supplemental data that may further include location data and network data.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for the real time generation and transformation of raw telematics big data into analytical telematics big data that includes raw telematics big data and supplemental data.

Abstract: A method for inferring a status asset information from data of a first type gathered by a first asset tracking device is provided. The method includes determining that a first asset tracking device coupled to a first asset and a second asset tracking device coupled to a second asset are travelling together, that the first asset tracking device has a first operating mode, and that the second asset tracking device has a second operating mode, which is different from the first operating mode of the first asset tracking device. In response, the second asset tracking device enters into a low-power mode in which it either does not gather data of the first type or does so at a reduced rate. Status information related to the second asset may be inferred from data of the first type gathered by the first asset tracking device.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for identifying in real time unpredictable network communication faults in network zones based upon pre-processed raw telematics big data logs that may include GPS data and an indication of vehicle status data, and supplemental data that may further include location data and network data.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for identifying in real time unpredictable network communication faults in network zones based upon pre-processed raw telematics big data logs that may include GPS data and an indication of vehicle status data, and supplemental data that may further include location data and network data.

Abstract: Methods, systems, and devices for asset travel monitoring are provided. An example method for asset travel monitoring involves monitoring a motion sensor of an asset tracking device located at an asset to determine whether the asset has entered into a travelling state, upon determination that the asset has entered into the travelling state, monitoring the motion sensor to determine whether the asset has left the travelling state, and, upon determination that the asset has left the travelling state, obtaining a present location of the asset tracking device and transmitting the present location to a remote server.

Abstract: A method and apparatus in a vehicular telemetry system for determining accelerometer thresholds based upon decoding a vehicle identification number (VIN).

Abstract: A method for inferring a status asset information from data of a first type gathered by a first asset tracking device is provided. The method includes determining that a first asset tracking device coupled to a first asset and a second asset tracking device coupled to a second asset are travelling together, that the first asset tracking device has a first operating mode, and that the second asset tracking device has a second operating mode, which is different from the first operating mode of the first asset tracking device. In response, the second asset tracking device enters into a low-power mode in which it either does not gather data of the first type or does so at a reduced rate. Status information related to the second asset may be inferred from data of the first type gathered by the first asset tracking device.

Abstract: Methods, systems, and devices for temperature-dependent charging of supercapacitor energy storage units of asset tracking devices are provided. An example method for temperature-dependent charging involves obtaining a temperature reading measured at an asset tracking device, the asset tracking device located at an asset to monitor travel of the asset, determining a target voltage for a supercapacitor energy storage unit of the asset tracking device based on the temperature reading to balance utilization of a capacity of the supercapacitor energy storage unit against temperature-dependent deterioration of the supercapacitor energy storage unit, and controlling a charging interface of the asset tracking device to charge the supercapacitor energy storage unit to the target voltage.

Abstract: A method for inferring a status asset information from data of a first type gathered by a first asset tracking device is provided. The method includes determining that a first asset tracking device coupled to a first asset and a second asset tracking device coupled to a second asset are travelling together, that the first asset tracking device has a first operating mode, and that the second asset tracking device has a second operating mode, which is different from the first operating mode of the first asset tracking device. In response, the second asset tracking device enters into a low-power mode in which it either does not gather data of the first type or does so at a reduced rate. Status information related to the second asset may be inferred from data of the first type gathered by the first asset tracking device.

Abstract: Described herein are methods of processing telematics data that include receiving initial telematics data related to a vehicle from a telematics device and processing the initial telematics data to generate processed telematics data. For each recipient of a plurality of recipients, the methods additionally include determining, from the initial telematics data and/or the processed telematics data, data that is to be made accessible to a recipient. Determining the data that is to be made accessible to the recipient comprises evaluating one or more constraints for the recipient that constrain what data the recipient is permitted to receive and determining what data has been requested to be provided to the recipient. For each recipient of a plurality of recipients, the methods additionally include distributing the determined data to the recipient. Also described herein are systems for processing telematics data in accordance with the described methods.

Abstract: A method for inferring a status asset information from data of a first type gathered by a first asset tracking device is provided. The method includes determining that a first asset tracking device coupled to a first asset and a second asset tracking device coupled to a second asset are travelling together, that the first asset tracking device has a first operating mode, and that the second asset tracking device has a second operating mode, which is different from the first operating mode of the first asset tracking device. In response, the second asset tracking device enters into a low-power mode in which it either does not gather data of the first type or does so at a reduced rate. Status information related to the second asset may be inferred from data of the first type gathered by the first asset tracking device.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for identifying in real time unpredictable network communication faults based upon pre-processed raw telematics big data logs that may include gps data and an indication of vehicle status data, and supplemental data that may further include location data and network data.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for the for identifying in real time unpredictable network communication faults based upon pre-processed raw telematics big data logs that may include GPS data and an indication of vehicle status data, and supplemental data that may further include location data and network data.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for identifying in real time unpredictable network communication faults based upon pre-processed raw telematics big data logs that may include gps data and an indication of vehicle status data, and supplemental data that may further include location data and network data.