
Complete Automation of Metro Stations through Artificial Intelligence
Author(s) -
Rittick Datta,
Prachi Taksali
Publication year - 2012
Publication title -
irnet undergraduate academic research journal
Language(s) - English
Resource type - Journals
ISSN - 2278-1129
DOI - 10.47893/uarj.2012.1013
Subject(s) - metropolitan area , transport engineering , automation , metro station , domain (mathematical analysis) , expert system , resource (disambiguation) , computer science , operations research , engineering , artificial intelligence , geography , mathematical analysis , computer network , mathematics , archaeology , mechanical engineering
Metro stations have become an invaluable transportation resource and will be spreading out of the metropolitan cities soon. It has reduced travel time and travel cost. We intend to research the possibility of unmanned metro stations through the application of artificial intelligence, one of which is expert systems. Expert systems —that are able to hold the accumulated knowledge of different domain experts can be implemented to guide the commuter about the optimum travel route. In this way the metro stations can be turned into self-sustainable structures.