System and method for incident detection with spatiotemporal thresholds estimated via nonparametric quantile regression
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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Abstract
Systems and methods for incident detection are provided. A system for incident detection includes 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, and a calibration module capable of calibrating a plurality of bands for the incident detection based on a 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.
10 Citations
8 Claims
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1. A method for incident detection, the method comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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Specification