Heavy vertical traffic conditions appear in high-rise buildings especially during the rush-hour period. So, offered service provided by multi-car elevator systems for such buildings during that period is expected to work fast, efficiently and without long waiting times for users. The approach of our work focuses on reducing the passengers travel and waiting times. To do so Particle Swarm Optimi...

In this paper, an optimal group control for elevator systems is proposed with timed Petri net based approach. Elevator system is modeled by timed Petri nets and hall call response times are estimated with moment generating functions (MGFs) method, which is applicable to real traffic patterns. Two assignment policies are proposed to satisfy the demands of passengers (i.e. hall/car calls) and to ...

Efficient elevator group control is important for the operation of large buildings. Recent developments in this field include the use of fuzzy logic and neural networks. This paper summarizes the development of an evolution strategy (ES) that is capable of optimizing the neuro-controller of an elevator group controller. It extends the results that were based on a simplified elevator group contr...

Monitoring and prediction of passenger movements are able to generate timely heuristic information that reduces the complexity of the elevator dispatching task to one of finding the best route through already computed data. This paper demonstrates that such information, when used by heuristic search techniques, allows optimal dispatching solutions to be achieved in a practical elevator installa...

This paper describes an proof-of-concept with the goal of providing new interactions for elevators. By connecting the control unit of the elevator to the ISO/IEC 24752 Universal Remote Console (URC) middleware – the Universal Remote Console (UCH) – we show some examples of alternative and accessible User Interfaces. By this, we achieve not only accessible UIs, e.g., spoken language interfaces, ...

conclusions the study showed that elevator buttons could lead to transmission of pathogenic bacteria. it is necessary to clean and disinfect elevator buttons daily, especially in departments with high contamination potential such as laboratories, particularly in biological laboratories and pilot plant rooms. methods the study was a across sectional research. samples were taken from elevator but...

Constraint Nets have been developed as an algebraic on-line computational model of robotic systems. Timed 8-automata have been studied as a logical speci cation language of real-time behaviors. A general veri cation method has been proposed for checking whether a constraint net model satis es a timed 8-automaton speci cation. In this paper, we illustrate constraint net modeling and timed 8-auto...

In this study, a double-sided linear switched reluctance motor (LSRM) drive was investigated as an alternative actuator for vertical linear transportation applications such as a linear elevator door, hospital and subway doors which move linearly and where accurate position control and rapid response is requested. A prototype sliding elevator door that is focused on a home elevator with LSRMs is...

The Ant Colony Optimization (ACO) metaheuristic is a bio-inspired approach for hard combinatorial optimization problems for stationary and non-stationary environments. In the ACO metaheuristic, a colony of artificial ants cooperate for finding high quality solutions in a reasonable time. An interesting example of a non-stationary combinatorial optimization problem is the Multiple Elevators Prob...

This paper discussed the implementation ideas and experimental procedures to solve an engineering related combinatorial problem using DNA computing approach. An elevator scheduling problem is chosen as a benchmark where all the elevator traveled paths are represented by DNA sequence of specific length that represent the elevator’s traveling time in a proportional way based on certain initial co...