Systems and methods for predictive queue management using sensors embedded in connected lighting systems

A method for predictive queue management of a monitored area, comprising:

• capturing, from a plurality of sensors installed in a connected lighting system and positioned at a plurality of locations, optimized sensor data corresponding to individuals in the monitored area, wherein the plurality of locations are generated from a sensor selection model based on selection training data and a plurality of potential sensor locations, wherein the sensor selection model is generated based on the selection training data, and the selection training data comprises a plurality of third-party floor plans, third-party historical people count data, and third-party context data;
• generating, via a processor, a queue volume prediction based on the optimized sensor data and a forecasting model;
• and
• generating, via the processor, a recommendation based on the queue volume prediction, wherein the recommendation comprises a number of queues needed to process the queue volume prediction;
• wherein the optimized sensor data from each of the plurality of sensors indicates the queue volume prediction with a statistical significance above a predetermined threshold.