Siemens Industry, Inc.

Siemens Aktiengesellschaft

Brian Collum

Juan L Aparicio Ojea

Bradley Wehrwein

Andrew Valdez

Benjamin Collar

A traffic control monitoring and abnormality determination system and associated methods are disclosed for receiving and analyzing traffic controller input/output data during a learning phase to determine a model indicative of normal or healthy operation of the traffic controller in regulating traffic flow at an intersection and receiving and evaluating additional traffic controller input/output data against the model during an evaluation phase to determine whether an abnormality exists in operation of the traffic controller. If an abnormality is detected during the evaluation phase, the system may initiate a corrective action to resolve the abnormality such as sending an alarm signal to a traffic controller to cause the traffic controller to alter an operating state to resolve the abnormality.

Real-time monitoring and diagnostic processing of traffic control data

Embodiments include a method for adjusting a signal control plan for a traffic signal at an intersection based on local environmental conditions is provided. The method includes operating the traffic signal based on a standard signal control plan, receiving an indication of an adverse environmental condition, and determining if the standard signal control plan should be adjusted based on the indication of the adverse environmental condition. Based on determining that the standard signal control plan should be adjusted based on the indication of the adverse environmental condition, the method includes creating a modified signal control plan based on the adverse environmental condition and the standard signal control plan and operating the traffic signal based on the modified signal control plan.

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Austin, TX, United States of America

Brian Collum