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, device, and system for managing a fleet of vehicles is disclosed. The method includes providing a telematics device for an electric vehicle of the fleet of vehicles, the telematics device being capable of obtaining data from the electric vehicle; using the telematics device to identify the electric vehicle based on the data obtained from the electric vehicle; providing a data definition set for the electric vehicle to the telematics device; and using the telematics device and the data definition set to determine whether the electric vehicle is in a vehicle mode based on the data obtained from the electric vehicle and the data definition set. The vehicle mode of the electric vehicle can be at least one of a charging mode, a driving mode, and a parked mode.

Abstract: Detection models are distributed as needed to a select subset of image capture devices, based on geographic location and time of the image capture devices. Each image capture device which receives a model processes image data according to the model, and provides a notification of any detected instances of an event the model is trained to detect. Distribution and detection can be based on historical data or live 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: The present systems, devices, and methods relate to managing shared vehicle access. Authorization policies are stored at a network device, and are provided to vehicle devices. Authorization policies each include an authentication scheme, a list of permitted vehicle operations, and a list of requirements to perform vehicle operations. In this way, whether even if a user is authenticated to access a vehicle, vehicle access is controlled based one whether the user is permitted to perform vehicle operations, and whether requirements are met to perform vehicle operations. This provides a flexible and robust vehicle access system. Authorization Policies are distributed to vehicle device in an Access Configuration, which can be updated.

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: To utilize a shared vehicle, a user can request access to the vehicle, which results in the generation of a virtual key. The virtual key is provided to a plurality of different devices, such as a vehicle device at the vehicle, and a user device in the possession of the user. Access to the vehicle can be granted and maintained by verification of the virtual key against data from an identification device at the vehicle, or from the user device. In this way, multiple options for vehicle access are available to the user, which increases flexibility and user-friendliness.

Abstract: Systems and methods for determining supply requirements for charging a plurality of vehicles are described. Based on real-world data for a plurality of vehicles, operation of comparable battery-powered vehicles is simulated. Energy consumption by the vehicles and energy replenishable to the vehicles is simulated, to determine power supply requirements or charge station requirements for candidate charge sites. Feasibility of implementing battery powered vehicles is assessed.

Abstract: Systems and methods for collecting telematics data from telematics devices are provided. A fleet management server includes a first and second data store operable to store a first and second set of telematics data associated with a first and second group of telematics devices. A plurality of gateway servers includes a first and second group of gateway servers in communication with the first and second group of telematics devices. The first and second group of gateway servers include at least one common gateway server. A unified downloader is operable to establish a communication channel between each gateway server in the first and second group of gateway servers and the unified downloader such that a single communication channel is established to each common gateway server. The communication channels can be multiplexed and transport asynchronous streams of telematics data. An event bus registers event records for the fleet management and gateway servers.

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 traffic analysis system analyzes location data from a plurality of vehicles to determine journeys made by the vehicles. Vehicles may make one or more rest stops during a journey. The traffic analysis system compares rest periods to journey criteria to determine whether a rest period delineates the end of a journey, or whether a rest period is still within the journey. In this way, a plurality of trips can be chained together into a journey to provide more accurate analysis of traffic patterns.

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 for by an asset tracking system is provided. An example method includes receiving a first plurality of data messages from an asset coupled to the asset tracking system and attempting to identify an asset type fingerprint based on the first plurality of messages. In response to failing to identify an asset type fingerprint based on the first plurality of messages, the example method further includes requesting a determined asset type fingerprint for the asset from an asset data analysis system, providing access to the first plurality of data messages to the asset data analysis system, receiving the determined asset type fingerprint for the asset from the asset data analysis system, and obtaining asset information from the asset by decoding a second plurality of data messages received from the asset in accordance with a set of signal definitions linked to the determined asset type fingerprint.

Abstract: Described herein are examples of a system that processes information describing movement of a vehicle at a time related to a potential collision to reliably determine whether a collision occurred and/or one or more characteristics of the collision. In response to obtaining information regarding a potential collision, data describing movement of the vehicle before and/or after a time associated with the potential collision is analyzed to determine whether the collision occurred and/or to determine one or more collision characteristic(s). The analysis may be carried out at least in part using a trained classifier that classifies the vehicle movement data into one or more classes, where at least some the classes are associated with whether a collision occurred and/or one or more characteristics of a collision. If a collision is determined to be likely, one or more actions may be triggered based on the characteristic(s) of the collision.

Abstract: Systems, methods, models, and training data for models are discussed, for determining vehicle positioning, and in particular identifying tailgating. Simulated training images showing vehicles following other vehicles, under various conditions, are generated using a virtual environment. Models are trained to determine following distance between two vehicles. Trained models are used to in detection of tailgating, based on determined distance between two vehicles. Results of tailgating are output to warn a driver, or to provide a report on driver behavior.

Abstract: The present disclosure relates to systems, devices, and methods for analyzing health of vehicle batteries. Vehicle batteries tend to degrade over time. The described systems, devices, and methods quantify this degradation (or quantify remaining health of the battery) by comparing average energy used to charge or discharge the battery by a charge level unit to a nominal quantity of energy used to charge or discharge a battery in optimal health by a charge level unit. Charge data for previous charge events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified charge events based on at least one of a number of metrics. Usage data for previous usage events of the vehicle battery can be used in the calculation, and can be filtered by identifying qualified usage events or subgroups of usage event based on at least one of a number of metrics.

Abstract: Systems and methods for collecting telematics data from telematics devices are provided. A fleet management server includes a first and second data store operable to store a first and second set of telematics data associated with a first and second group of telematics devices. A plurality of gateway servers includes a first and second group of gateway servers in communication with the first and second group of telematics devices. The first and second group of gateway servers include at least one common gateway server. A unified downloader is operable to establish a communication channel between each gateway server in the first and second group of gateway servers and the unified downloader such that a single communication channel is established to each common gateway server. The communication channels can be multiplexed and transport asynchronous streams of telematics data. An event bus registers event records for the fleet management and gateway servers.

Abstract: Systems and methods for processing telematics data streams for event detection are provided. The methods involve operating at least one processor to: receive a telematics data stream; define a plurality of sliding windows for the telematics data stream, each sliding window containing a portion of the telematics data stream, each sliding window overlapping with one or more neighboring sliding windows, each sliding window including: a logical window; a first buffer preceding the logical window; and a second buffer following the logical window; the logical window being adjacent with one or more neighboring logical windows of the one or more neighboring sliding windows without overlapping the one or more neighboring logical windows; identify a vehicle event based on the portion of the telematics data stream contained within one of the sliding windows; and store an indication of the vehicle event.

Abstract: Methods, systems, and devices for data capture instructions for asset tracking are provided. An example method for capturing data involves obtaining raw data from a data source onboard an asset and monitoring the raw data for satisfaction of a simplified data capture trigger. When the simplified data capture trigger is satisfied, a dataset simplification algorithm is performed on the raw data to generate a simplified set of raw data, and the simplified set of raw data is logged. The method further involves monitoring the raw data for satisfaction of a rich data capture trigger. When the rich data capture trigger is satisfied, an unsimplified block of raw data is identified and logged for rich data analysis. The data is transmitted to a server. The unsimplified block of raw data contains raw data that is additional to the raw data contained in the simplified set of raw data.

Abstract: A method for trigger action management in a telematics device, and a telematics device employing the method are provided. The method includes receiving a log and trigger configuration, and in response to detecting a trigger condition, performing an associated action.