Elevator Control Strategies

• Main Authors: Ceder, Frederick, Nordin, Alexandra
• Format: Others
• Language: English
• Published: KTH, Skolan för datavetenskap och kommunikation (CSC) 2013
• Subjects: Computer Sciences; Datavetenskap (datalogi)
• Online Access: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-134902

This paper investigates the efficiency of known elevator control strategies by simulating these in an own made apartment simulator. Efficiency will be determined by the lowest product of the energy consumption (Watt/second), average waiting time, average transfer time and the maximum waiting time of a passenger, which is the output by the simulator. The apartment simulator will simulate the elevator behavior, according to a respective control strategy, and the passenger flow on each respective floor in a specific test scenario. In this test scenario, passengers always travel either to the ground floor or to their respective home floor to simulate an apartment complex on a workday. The outcome of the investigation was that a control strategy that would prioritize elevator orders, i.e. calls made from inside the elevator, remember calls and collect passengers that are on route was the most efficient, both in terms of low energy consumption and passenger satisfaction (low transit and waiting times).