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You can now edit and replace widgets on the dashboard. To modify an existing widget, click on it, make your changes on the page, then select Add as widget…. Choose REPLACE and select the widget you want to update from the drop-down list. You can also replace a widget with an entirely different one (e.g., switching a visual analytics widget for a trend analytics widget).
Travel Time is now a derived property available in Movement Data sets. It represents the time difference between the end and start of an asset’s journey.
If no filtering is applied, Travel Time is the difference between the last and first recorded data points of the asset. When a route is specified, such as ASSET_ROUTE(INSIDE(AREA(name="New York")), ANY(), INSIDE(AREA(name="Boston"))), the travel time is the difference between the last and first records along that defined path (i.e., the last record in the Boston area and the first in the New York area).
This new feature is available on the Visual Analytics page (Timeline and Data Distribution Panel) as well as on the Trend Analytics and Distribution Analytics pages. Users can now analyze key metrics such as average, min, max, and mean travel times, along with changes and distributions of travel times.
Travel time is automatically included in both new and existing movement datasets. For more details, refer to the dedicated article Travel Time.
Categorized Trend Analytics now supports the creation of custom categories. In addition to categorizing based on data properties, time periods, or areas, users can now build categories using complex filters.
For instance, you can analyze trends along multiple routes in a road network by defining different ASSET_ROUTE filters, for instance to compare travel time changes across these routes. This feature also allows for more flexible analysis by combining data properties. For example, you can create one option for Light and Medium vehicles, and another for Heavy vehicles, enabling more customized comparisons and insights.
The Categorized Trend Analytics page now requires defining a Spatial Query Region to limit the search area when computing trends. This ensures that analytics are focused on a specific area of interest, such as a highway intersection or a port terminal, and prevents unintentional use of the entire dataset region.
For Movement Data, note that the larger the computation area, the lower the resolution. Therefore, it is recommended to define the spatial query region as small as possible to maintain higher accuracy and performance.
The Categorized Trend Analytics feature now includes configurable Calculation Modes, offering a distinction between record-based and asset-based calculations.
When analyzing trends over time, records (from different assets) that fall into the same time interval can now be combined in various ways. Additionally, when calculating trends by hour of the day, day of the week, month of year, the method for combining values is fully customizable.
See this article for more details on the calculation modes.
You can configure a default timezone on the project. This timezone will be used by default on any of the analytics pages when you open that page for the first time.
The platform now supports a new data set type: Point Data. This type includes datasets composed of independent, unrelated measurements, each associated with a specific location. Examples include driving events such as harsh breaking, cornering,… For more details about the different types of datasets supported by the platform, please refer to the Different types of data sets article.
You can now use Parquet files in your data sets, whereas previously only CSV files were supported. The Different types of data sets article provides a list of supported file formats for each dataset type.
When defining the structure of a new data set through the wizard, you can now upload an example file and define the different properties from the uploaded file. Read the Auto-detection of the data properties article for more information.
For movement data sets, you can now enable labels for trajectories with icons. This enables you to more easily identify assets such as vessels moving on the map, e.g., showing the vessel’s MMSI identification number. In addition, you will now see a tooltip with all the record properties when moving with the mouse over a trajectory line or the associated icon.
You can now specify a start and/or end time on the origin-destination analytics page.
Widgets for dwell time and trend analytics now are sized responsively on the dashboard. Also various improvements were made to the categorized dwell time charts, including addition of titles, time ranges, and a legend consistent with the other charts.
All chart data can now be downloaded also as Excel files (.xlsx). This has the benefit over CSV files that the data can easily be opened in Excel with proper column layout and character formatting. Right-click on the chart, or on the three dots to find the new download functionality.
The vertical axis (y-axis) of the Visual Analytics timeline charts and the Trend Analytics charts can now be configured to a fixed range, for example, always showing number of assets on a scale from 0 to 1000. Click on the three dots and choose Edit.
Using fixed vertical ranges has the benefit that you can place multiple charts side by side on a dashboard and allow for easy visual comparison.
You can now create a new data set by initializing it from the settings of an already existing data set. This means that the new data set takes all data (and metadata) properties and all configuration settings.
This has the benefit that uploading similar data sets requires less setup.
Performance of Origin-Destination and other route-related computations has been improved. Note also that the Origin-Destination analytics now defaults to "Strict From" and "Strict To".
You can now save and load layer styles on the Visual Analytics page. This enables you to configure styling once and re-use the same styling configuration for a compatible data set. Compatible data sets are data sets with the same data properties.
You can find the buttons to export and import layer styles in the layer styles panel by clicking on MORE.
The advanced filter editor has been extended with improved syntax error highlighting, auto-completion, and adaptive documentation pointers.
When opening the dialog, there is now also UI that can be used to select and insert data properties, property values, and areas.
You can now define one or more categories on the Trend Analytics page. This enables you to analyze and download trends divided in subgroups, e.g., by a property, or by different areas, or by logical time units. Choose Categorized as the mode on the Trend Analytics page.
You can now choose German, French, Spanish, and Dutch, next to English as the language.
We have added several new tutorials:
A new tutorial on how to upload INRIX trips data.
A new tutorial on how to analyze traffic flows using floating vehicle data.
A new tutorial on how to automate data uploads and other platform actions using the REST API and Python.
There is now a compact view for the projects, data sets, data stores, areas of interest, and background overview pages. You can toggle by clicking on the table icon at the top of the respective pages.