| Title | Multi-Car Elevator Group Control: Schedule Completion Time Optimization Algorithm with Synchronized Schedule Direction and Service Zone Coverage Oriented Parking Strategies |
| Author | *Alex Valdivielso, Toshiyuki Miyamoto, Sadatoshi Kumagai (Osaka University, Japan) |
| Page | pp. 689 - 692 |
| Keyword | Multi-Car Elevator, Group Control, Schedule Completion Time, Synchronized Schedule, Parking |
| Abstract | Multi-Car Elevator (MCE), elevators with two or more independent cars operating in the same shaft, have special characteristics that do not allow the use of conventional control methods in them. To solve this, in this paper we propose a group control method for MCE systems consisting of a schedule completion time optimization algorithm, an interference risk prevention strategy using schedule direction synchronization, and parking strategies applied according to the identified passenger traffic pattern. |
| Title | A Problem and Its Solution for Multi-Car Elevator Group Control |
| Author | *Yuki Kuroda, Mitsuru Nakata, Shingo Yamaguchi (Yamaguchi University, Japan) |
| Page | pp. 693 - 696 |
| Keyword | multi-car elevator, group control, problem, algorithm, zoning |
| Abstract | Multi-car elevator (MCE for short) systems have been receiving increasing attention these days. An MCE has two or more cars in one shaft. It is difficult to control MCEs by using algorithms developed for single-car elevator systems, because MCEs need to avoid collision of the cars of the same shaft. In this paper, we propose an algorithm to control MCE systems, and show the effectiveness of our algorithm through computer simulation. |
| Title | Recent Trends in Elevator Group Control Systems |
| Author | *Sandor Markon, Ken'ichi Aoki, Masami Nakagawa, Takeshi Sudo (Fujitec Co., Ltd., Japan) |
| Page | pp. 697 - 700 |
| Keyword | elevator, group, control, optimization |
| Abstract | The latest elevator systems have structural differences from
traditional systems, such as the use of destination calls,
or multiple cars in the same hoistway. This requires the
development of new elevator group control systems, which is
best done by adopting modern soft-computing methods.
We review some of these systems and the results of research
so far, and suggest further directions of research. |
| Title | Exemplar-based Control of Multi-Car Elevators and its Multi-Objective Optimization using Genetic Algorithm |
| Author | *Kokolo Ikeda (Kyoto University, Japan), Hiromichi Suzuki (Fujitec Co., Ltd., Japan), Hajime Kita (Kyoto University, Japan), Sandor Markon (Fujitec Co., Ltd., Japan) |
| Page | pp. 701 - 704 |
| Keyword | Elevator, Exemplar, Multi-Car, Multi-Objective |
| Abstract | Multi-Car Elevator (MCE) is the novel system and attracts attention for improvement of transportation in high-rise buildings, but the design of controller for MCE is very difficult engineering problem. In this paper, the works of the authors are summarized: The control of MCE is divided to four phases and the assignment of a car to a hall-call is focused. The exemplar-based policy is used for the assignment, the policy is evaluated through discrete event simulation, and the parameter is optimized by genetic algorithm. To design traffic-sensitive controller, multi-objective optimization is utilized. Finally a policy visualization method is proposed for analyzing how the policy works. |