New data source for U.S. geographies: Connected Vehicle Data (CVD). This allows you to analyze 2022 data months, as well as attributes that describe vehicles in the sample. To use this new data source, set the new source parameter in your Metrics request to cvd_plus.

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The new source parameter defaults to lbs_plus, which was previously the only data source. You only need to specify the source parameter if you want to analyze the data months or metrics above; you do not need to edit your existing requests unless you want to use the new CVD data source.

To check the latest data months available for the CVD data source, see Date Ranges.

You can query new fleet attribute metrics when using the CVD data source. For more information, see Available Metrics: Vehicle Attributes.

  • You can analyze month over month or year over year time trends in one API call by setting multiple date_range parameters when requesting metrics and comparing data between data periods. For more information, see Analyzing Time Trends
  • The nearest geometry type allows you to query the segments nearest to a supplied point.
  • The new Download shapefile endpoints let you download a shapefile of the zones used in an analysis you have run.
  • The new Get zones endpoint lets you query information from zones or zone sets that have been created from the API or StreetLight InSight® web app.
  • Each API key can have up to 250 analyses running and waiting to run at a time.
  • The new in_queue parameter in the Search analyses endpoint lets you search analyses that are currently in the analyses queue.

The geom_mode property is available for endpoints where you define a geography. You can set geom_mode to determine whether your query includes only segments within your defined area, or segments within and intersecting with your defined area.

  • You can now set the travel_mode_type parameter to All_Vehicles_CVD_Plus. The All_Vehicles travel mode is now All_Vehicles_LBS_Plus.
  • For some analysis types, the data period of the analysis is now returned as a column in the metrics of the analysis.