Optimization of Elevator Services Using Machine Learning
| Author(s) | : | Nagendra Prasad B D, H K Vedamurthy |
| Institution | : | Final year student, M.Tech. (Computer Networks), SIT College, Karnataka, India |
| Published In | : | Vol. 3, Issue 9 — September 2016 |
| Page No. | : | 111-120 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Elevators are used in a large amount of buildings all over the world for fast and comfortable transportation.Today it is becoming increasingly important for people and products to be time efficient, and with technological developmentnew solutions are created to answer this rising demand. To do this in an elevator context, elevator control strategies areimplemented as optimal as possible. Machine learning is a relatively new concept, but it is already used in attempts toimprove the performance of elevator control strategies. Machine learning algorithms can learn from both the current andpast environments. Also the Zoning division technique is proposed to improve the speed of operation. Conclusion drawn isthat the current environment is most valuable in the user travel pattern down-peak, while information about previous daysespecially can improve the performance in the user travel pattern up-peak
Nagendra Prasad B D, H K Vedamurthy, “Optimization of Elevator Services Using Machine Learning”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 3, Issue 9, pp. 111-120, September 2016.
