RELATIVE SYSTEM RESPONSE ELEVATOR DISPATCHER SYSTEM USING 'ARTIFICIAL INTELLIGENCE' TO VARY BONUSES AND PENALTIES.

摘要

AN ELEVATOR SYSTEM ASSIGNS CARS TO HALL CALLS BASED ON A RELATIVE SYSTEM RESPONSE (RSR) APPROACH USING BONUSES AND PENALTIES VARIED BY ''ARTIFICIAL INTELLIGENCE'' TECHNIQUES BASED ON COMBINED HISTORIC AND TRAFFIC TO PREDICT THE NUMBER OF PEOPLE BEHIND A HALL CALL, AND, CALCULATING AND USING THE AVERAGE BOARDING AND DE-BOARDING RATES AT ''EN ROUTE''STOPS, AND THE EXPECTED CAR LOAD AT THE HALL CAR FLOOR. THE REMAINING CAPACITY IN THE CAR AT THE HALL CALL FLOOR IS MATCHED TO THE WAITING QUEUE USING A HALL CALL MISMATCH PENALTY BASED ON THE NUMBER OF PEOPLE BEHIND THE HALL CALL AND THE VARIABLE DWELL TIMES AT "EN ROUTE" STOPS. THE STOPPING OF A HEAVILY LOADED CAR TO PICK UP A FEW PEOPLE IS PENALIZED USING A CAR LOAD PENALTY. THESE ENHANCEMENTS TO RSR RESULT IN EQUITABLE DISTRIBUTION OF CAR STOPS AND CAR LOADS, THUS IMPROVING HANDLING CAPACITY AND REDUCING WAITING AND SERVICE TIMES. (FIG.5)