Towards personalized elevator travel with smart elevator system

Abstract

For ages, machines have been used to lift materials and goods. With the appearance of elevators on the 19th century, vertical transportation of people became efficiently available. The general concept of modern elevators, which became widely exploitable some 150 years ago, has regardless of many technological advancements remained mostly the same. The typical elevator still needs traveller's input to take the passenger from one floor to another. With innovation in technology, Cyber-Physical Social Systems (CPSS), where highly computerized systems work in tight connection with human users, have appeared. Smart elevators are a kind of CPSS. In this paper, we explore elevator travellers' behaviour and travel needs, and the possibility to predict passenger destination floor. For this, we use passenger profiles established through deep learning, and elaborate on their travel. The study is based on a real smart elevator system set up in a typical office building.