Geotab Incorporated

Michael Giannikouris

Alexander K Koch

Christopher Joseph Mendes

Paul Philip Ciolek

Ryan Andrew MacDonald

Kenneth James Hendrik Geertsema

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.

System and method for managing a fleet of vehicles including electric vehicles

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.

Systems and methods for asset type fingerprinting and data message decoding

A method for an asset tracking system is provided. An example method includes receiving data messages from an asset coupled to the asset tracking system and attempting to obtain asset information from data messages with reference to a local set of signal definitions indicating how data messages received from the asset are to be decoded into asset information. Upon failing to obtain the asset information the asset tracking system requests from an asset data analysis system the generation of a generated signal definition indicating how the data message of the outstanding type is to be obtained from the asset. The asset tracking system provides access to at least one undecoded data message of the outstanding data type to the asset data analysis system, receives the generated signal definition from the asset data analysis system, and adds the generated signal definition to the local set of signal definitions.

Systems and methods for data message decoding and asset type fingerprinting

Methods for asset type fingerprinting are provided. An example method involves an asset tracking system failing to identify an asset type fingerprint and requesting an asset type fingerprint from an asset data analysis system. The asset data analysis system generates a proposed asset type fingerprint, links the asset type fingerprint to a set of signal definitions that indicate how to decode data messages from the asset. The asset data analysis system transmits the proposed asset type fingerprint to the asset data analysis system, which then decodes at least some data messages from the asset thus obtaining asset information. The method may be used to identify vehicle types and decode proprietary or non-standard data messages via a vehicle's diagnostic port.

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Kitchener, Canada

Michael Giannikouris