Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive structural analysis. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive structural analysis using at least one of table column classification machine learning models, table column clustering machine learning models, structural variance generation machine learning models, and emergence report generation machine learning models.

Abstract: An elevator system having a controller configured for: receiving a communication from the mobile device for a passenger, the communication including first data, wherein the first data is position data obtained by the mobile device executing a multilateration (MLAT) process with one or more proximately located telecommunication devices, rendering a first determination, from the first data, that the mobile device is proximate a first distance from the lobby, rendering a second determination, from the first determination, arrive at the lobby proximate a first time, and transmitting a communication to an elevator instructing the elevator to arrive at the lobby proximate the first time to provide elevator service.

Abstract: An elevator system having a controller configured for: receiving a communication from the mobile device for a passenger, the communication including first data, wherein the first data is position data obtained by the mobile device executing a multilateration (MLAT) process with one or more proximately located telecommunication devices, rendering a first determination, from the first data, that the mobile device is proximate a first distance from the lobby, rendering a second determination, from the first determination, arrive at the lobby proximate a first time, and transmitting a communication to an elevator instructing the elevator to arrive at the lobby proximate the first time to provide elevator service.