May 2023¶

Product Enhancements¶

• Dashboards improvements

  We introduced several improvements to the Dashboards module to simplify the user experience and reduce error rate during the configuration of a new report. First, the dashboard now indicates which fields are mandatory, giving the user a clearer understanding of the required parameters to run an analysis. Second, we now provide a user-friendly calendar widget to select the date.

• Introducing: Vehicle Stop data asset

  We implemented a new Core Data Asset (CDA) starting from connected vehicles data: the vehicle_v1.stop table. This new asset, which collects all the mobility events of zero speed vehicles, enables a variety of use cases. This new table can be used standalone and in interaction with other CDAs, and it represents a foundation for further derivative assets.

  Together with the vehicle_v1.stop table, we’ve released a new dedicated Jupyter tutorial that explains how to run basic analysis and extract statistics along with other interesting use cases enabled by the asset. The new tutorial is available in the Explore The Catalog/Vehicle Data Assets section of the Tutorials app or in the Explore The Catalog/Vehicle Data Assets section of the Jupyter tool.

• Monthly Average Daily Traffic tutorial

  We added a new Jupyter tutorial to our collection of Jupyter notebooks: the Monthly Average Daily Traffic (MADT). It describes the methods used to compute one of the most important metrics when performing traffic analysis over a roadway of interest—the volume of daily traffic averaged over a month. Furthermore, we updated the Traffic Analysis tutorial to include the computation of the MADT with one of our existing methods.

Bugfix¶

• We fixed an issue related to Jupyter notebooks execution on Dataflow Studio. The execution was marked as successful even when one of the cells failed. This has been resolved.
• A scheduled Data Flow Studio job with Expired status could not be deleted. You can now delete Expired jobs.