Using Artificial Intelligence to Improve Passenger Service Quality

Marja-Liisa Siikonen and Mattie Kaakinen

Monday 1st November 1993

In modern, well-planned high rise buildings with microprocessor controlled elevators call times are already reasonably short. There are, however, service quality indicators other than call times that can be influenced to improve the comfort passengers experience while using an elevator system. The total passenger service quality level, including waiting times, journey times and car load factor can be considered. Investigations with modern elevator traffic simulators have revealed that passenger waiting times can be much longer than average call times in a building, especially at floors with heavy traffic. This information cannot normally be observed in an elevator system because passenger flow information isn’t available. Simulation studies have proven that a control system using Artificial Intelligence to detect and predict passenger floors and applying this information to call allocation gives superior passenger service compared with older generation controls assigning cars on basis of measured hall call times only.

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