Data download

We gladly share the data we gather from our sensors to partners interested in using it for research or experiments purposes under some restrictions that are listed in this NDA that has to be returned to us before gaining access to the data. Please note that we are not releasing this data as 'Open Data'. As such, you will not be allowed to share this data with other persons.
We provide data for occupancy, counting and average speed aggregated over 1, 2 or 5 minutes. The data can either be raw or imputed
  • Raw: This is the data as we get it directly from the sensors and have values for each of the lanes we have sensors (total 68). Note that this data can be partially missing either because there was no car for this period of time or because there was a problem with the equipment or data retrieval process.
  • Imputed: This data is computed from the raw data and the missing data is corrected by our algorithms. We provide data for each section of the rocade (total 21 + 4 queues)
The data is provided in the form of CSV files, one for each day AND type of data. A small script to easily import this data in Matlab is also provided if needed. More information can be found here.
The procedure to get acces to the data is the following:
  1. Create an account if it is not already done. The e-mail you enter has to be correct (as is it used to activate the account) and should be the one from your organization.
  2. Download, and sign the this NDA . You will be asked to send it to us using the form when you will fill the form to ask for permission to get the data with a short (but not too short) description of what you intend to do with the data you will get.
  3. We will review your application and decide wether or not we grant you access to the data. You will be notified by e-mail of our decision.
  4. Once authorized, you will be able to use this page to select the type of data and the period of time you wish to download.

Request data

Select a sampling time:

Available data types

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Designed and implemented by NeCS team, All rights reserved.
NeCS Gipsa Lab INRIA CNRS UGA