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"Artificial Intelligence" based learning system predicting "Peak-Period" times for elevator dispatching

  • US 5,035,302 A
  • Filed: 03/02/1990
  • Issued: 07/30/1991
  • Est. Priority Date: 03/03/1989
  • Status: Expired due to Fees
First Claim
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1. In an elevator dispatching system controlling the assignment of elevator cars from a lobby level to various floors in a building having a predetermined population, a method of determining the commencement of an UP-PEAK period of operation, said method comprising the steps of:

  • obtaining historical information of the number of passengers boarding the elevators at the lobby during a plurality of predetermined time intervals, said time intervals being within a predetermined time period;

    predicting a lobby boarding count for a specific predetermined time interval based on said historical information;

    comparing said predicted lobby boarding count with a predetermined percentage of the building'"'"'s population; and

    commencing UP-PEAK operation at the beginning of said specific time interval if said predicted lobby boarding count is greater than said predetermined percentage of the building'"'"'s population.

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