The data sets analyzed come from bicycle counting detectors installed on various sites by SUM-DIGD. These sensors record the number of cyclists crossing each minute, allowing detailed observation of the number of cyclists passing by. In some locations, detectors also provide speed data, enriching behavioral analysis.

In order to facilitate interpretation and identify trends, raw data is aggregated in several ways:

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* -15 min

* -1hr

* -daily

* -monthly

* -annual

This methodology makes it possible to monitor the evolution of bicycle traffic, to identify seasonal variations and to assess the impact of specific developments or events. Aggregation is carried out using automated processes, guaranteeing the consistency of the time series and the quality of the analyses.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**