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.