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

  • US 9,207,105 B2
  • Filed: 06/26/2013
  • Issued: 12/08/2015
  • Est. Priority Date: 06/26/2013
  • Status: Expired due to Fees
First Claim
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1. A method for incident detection, the method comprising:

  • designating a plurality of decision variables for incident detection;

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

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

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

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

    the thresholds are estimated using nonparametric quantile regression;

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

    determining the decision variable at the time t;

    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; and

    issuing an alert in response to a determination that the 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 the detecting is performed by at least one sensor;

    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;

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

    wherein one or more steps of the method are performed by a computer system comprising a memory and at least one processor coupled to the memory.

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