Elevator Group Control

As you can imagine, the efficient control of elevators in commercial and residential buildings has significant economic impact. Elevators are quite costly and their performance can substantially impact the satisfaction of tenants/residents/guests.

Accordingly, there has been substantial research into the theory and practice of elevator design, typically referred to as Elevator Group Control. Of late, research has focused the use of machine learning and artificial intelligence to gain improvements in efficiencies.

There are many interesting academic references you can read for further information and perhaps some valuable approaches to this contest. Recently updated in 2003, Elevator Traffic Handbook: Theory and Practice, by Gina Carol Barney, is the best known reference work on elevator design. It can also be obtained from most University/College libraries. Other interesting academic papers include:
You can see the references in each of these for further reading on a particular topic. In addition, you can search other academic references at Google Scholar.