Smart cities are supposed to produce data in peta bytes..
Storing such a huge amount of data require resources..
what best methods are currently available to aggregate big data and then send to cloud for storage purpose..
Smart Data for smart cities.
You can use
1)Space segmentation
Use History of the city or territory to find what makes sense locally. Examples:
-France,1789: the old region segmentation was replaced by some eighty new departments (districts)defined as maximum territories covered within one day on horseback (command and control)
-Paris: 20 districts...
2) Time segmentation
Identify Peak hours and idle Time intervals.
You have tout semantics...
Discretise to the wished granularity
3) Quantification
Use this method coming from Information Theory
You define classes and centroids (class representative)
Dear aqeel
The article below contains a useful example for what you mentioned in your question
https://ieeexplore.ieee.org/abstract/document/8688649/
Regards
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