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Questionan optimal elevator-use algorithm Pin
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BillWoodruff19-Sep-12 4:35
professionalBillWoodruff19-Sep-12 4:35 
Hi Alan, thanks for responding. I've been exceptionally busy and thrown off-track by some hardware problems in the last week, so have not kept up with this thread.

I think about that's a good point about using some for of of AI technique, or even some form statistical analysis (factor analysis).

If you had a three month data set of all the kinds of data I described above, it would seem you could factor-out use patterns: such as heavy traffic from all upper floors, or any floors above coffee-shop level, or ground-floors, or check-out floor, down, in the AM hours, etc.

Near check-in time you'd expect ground-floor to check-in floor (if separate) to be heavy, followed by lots of traffic of people going up to their rooms, and so forth.

Similarly, hotels often have special events at noon, or in the evening involving large numbers of people; it's easy to anticipate when heavy elevator-use periods related to those events may be ?

And, I wonder if the kind of "fuzzy" algorithms developed by Japanese device makers might be useful here ?

I wonder how long it will be before elevator makers put small video-cams with a wide-angle lens on each elevator, and from the pictures being fed back into a central dispatching system compouter, roughly estimate the size of the crowd waiting on a particular floor ? Maybe it's already being done ?

best, Bill
<color>"When it comes to atoms, language can be used only as in poetry. The poet, too, is not nearly so concerned with describing facts as with creating images." Niels Bohr

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QuestionLinear Regression Most Efficient algorithm calc Line of Best Fit Pin
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