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System and method for incident detection with spatiotemporal thresholds estimated via nonparametric quantile regression

  • US 9,207,106 B2
  • Filed: 09/05/2013
  • Issued: 12/08/2015
  • Est. Priority Date: 06/26/2013
  • Status: Expired due to Fees
First Claim
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1. A system for incident detection, comprising:

  • a network including at least one detector for detecting events in the network;

    a detection module capable of;

    processing data from the at least one detector;

    detecting, at a predetermined location over a predetermined time period, data for determining a plurality of decision variables for incident detection; and

    detecting data corresponding to a decision variable at a particular time t;

    a calibration module capable of calibrating a plurality of bands for the incident detection based on the plurality of decision variables, wherein;

    the plurality of bands define thresholds that are time-varying for all measurement locations in the network; and

    the thresholds are estimated using nonparametric quantile regression; and

    a determination module capable of;

    determining the plurality of decision variables over the predetermined time period;

    determining the decision variable at the time t; and

    querying whether the decision variable at the time t falls outside a band of the plurality of bands to determine whether an incident has occurred;

    wherein the querying comprises comparing the decision variable at the time t with a time-varying threshold defined by the band at the time t;

    wherein an alert is issued in response to a determination that the incident has occurred;

    wherein the detection module includes at least one sensor performing the detecting;

    wherein the sensor records occupancy at the predetermined location over the predetermined time period by recording a passage of each traveling element on the network over a fixed loop; and

    wherein the alert is issued at a command center capable of responding to the incident.

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