Version 6 (modified by 12 years ago) ( diff ) | ,
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Transition probability matrix generation:
- convert timestamp to serial number and then sort
- divide area into grids
- loop: for each taxiid, find current grid & next grid, fill into grid matrix (row is current grid #, column is next grid #)
- get probability matrix by normalizing grid matrix
Update generation:
- divide updates into three different speed groups
- in each speed group, set timestamp(poisson distribution) for each update
- pick GUID (and its corresponding source AS) for each update randomly
- compute destination AS (prob: how to match AS to grid in probability matrix)
Attachments (1)
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location(10K_100grids).jpg
(115.9 KB
) - added by 12 years ago.
show locations in most condense area which is divided into 100 grids
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