Location and event capture circuitry to facilitate remote vehicle location predictive modeling when global positioning is unavailable

  • US 10,223,744 B2
  • Filed: 04/11/2016
  • Issued: 03/05/2019
  • Est. Priority Date: 12/31/2013
  • Status: Active Grant
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First Claim
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1. A repossession recommendation system for providing a recommendation regarding locations and times at which a target vehicle will be parked and available for repossession, the apparatus comprising:

  • one or more electronic devices that generate and communicate vehicle location data comprising one or more of;

    a tracking device in the target vehicle that generates location data based on satellite signals when satellite signals are available; and

    a mobile device associated with a user of the target vehicle that generates location data based on satellite signals when satellite signals are available or based on a triangulation algorithm when satellite signals are unavailable;

    a network through which the vehicle location data is communicated; and

    a predictive recommendation server for receiving the vehicle location data via the network, the predictive recommendation server comprising one or more processors that are operable to execute instructions to;

    create a plurality of destination zones associated with the target vehicle based on the vehicle location data, each destination zone having a geographic boundary;

    group a set of visits within each destination zone, wherein each visit comprises an instance during which the target vehicle was parked within the geographic boundary of the destination zone;

    determine a frequency of visits for one or more of the destination zones;

    receive non-tracking data via the network from one or more of a commercial data server, a government data server, a social media server, a lender server, and a law enforcement server, wherein the non-tracking data provides information about the operation of vehicle other than locations and times at which the target vehicle is parked; and

    run a predictive model based at least in part on the frequency of visits and the non-tracking data to generate a list of recommended destination zones and times to repossess the target vehicle.

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