WMS background layers now automatically refresh every 10 seconds, so dynamic map data stays up to date.

WMS layer URLs now support the STYLES="…​" parameter, allowing the correct server-side style to be selected.

Dashboards now support a flexible grid layout, letting you place multiple smaller widgets alongside a larger one — for example, two half-height widgets next to a full-height one. Drag and resize widgets directly from the dashboard page.

You can now replace the data set with a compatible one on any project attachment while keeping all widgets and saved bookmarks intact. A compatible data set is a data set of the same type with the same properties, but potentially with different data.

We have introduced managed data sets — a new concept that wraps a regular (source) data set and adds a layer of indirection on top of it.

Percentile aggregation is now available for map and route analysis styling. In addition to existing modes (min, max, avg, sum, mode), you can now select any percentile from P5 to P100, including a dedicated median, to color data by the statistical distribution of the record values.

Improved Parquet support for nested data. You can now define nested Parquet properties in the data properties file using dot notation, such as device.id, point.x, or points.ts.

Long descriptions for projects, data sets, area of interest layers, and background layers are now collapsed by default. Click MORE to expand and view the full description.

Added Year as a bucket option for categorized trend analytics. We also simplified the chart label formatting for Hour, Day, and Month views.

You can now customize the colors of the dwell time charts.

You can now compute total dwell times next to average and individual dwell times. This enables you to analyze the total time spent in different areas.

You can now save the data on the map for Geometry data, Time series data, and Movement path data as GeoJSON. This enables you for instance to compute a density map of traffic on a road network and then use the result for further analysis or visualization in other tools.

You can now restore a copied map bounds from the clipboard in the visual analytics page. This allows you to fit the map on a previously saved map bounds. You can find the action in the context menu that appears when right-clicking on the map.

When using the trajectory visualization mode, you can now display the entire movement trace, not only as a line, but also using icons at all recorded positions instead of just the most recent one. This makes it easy to analyze the swept path of vehicles or vessels along their route.

Movement data sets that use the real-time visualization mode, now show hover labels and regular labels consistent with the trajectories visualization mode.

Data sets can now be cleared using a REST API call. This means that uploaded files and the corresponding processed data can be removed while maintaining the data set configuration. See the /datasets/{dataSetId}/clear end point.

Improved date-time picker for absolute time configuration: You can now select the day, month, and year using drop-down boxes, with available options automatically hinting to the time range of your project’s data sets. In addition, it’s now easier to align your selection with the start or end of a day. You can toggle to a text field input, for instance to copy-paste date-time values.

The Database Module now supports Movement Path data in addition to Geometry and Time Series data. Similar to the native movement path data support, you first create a Geometry data set based on a geometry table in your database. You then create a movement path data set, based on an additional data (containing trips info) and optional metadata table.

The Database Module now supports ClickHouse, a high-performance analytical database. Similarly to Postgres, this database supports Geometry, Time Series, and now also Movement Path data sets.

Various improvements have been made to the Network Route Analysis Module: You can now style the computed diagrams separately from the corresponding layer. You can now also perform route analysis on database movement path data sets.

Various improvements have been made to the origin-destination analytics capability. You can now work with pre-computed origin-destination data in database time series data sets. Select Origin and Destination to configure the corresponding data properties/columns. The origin-destination analysis can then be used from the Visual Analytics page by clicking on the matrix icon next to the layer’s name.

Geometry, Time Series, and Movement Path layers now use an improved label deconfliction algorithm resulting in better label selection and more consistent placement.

There are two new default color maps named stoplight (green to yellow to red) and stoplight2 (red to yellow to green) that are useful for instance to style speed on road segments.

* You can now use (XYZ) tiles web maps as background layers. XYZ tiles are a common way to provide multi-level tiled map data using a URL of the form http://…​/Z/Y/X.png or similar. For example, https://services.arcgisonline.com/ArcGIS/rest/services/World_Street_Map/MapServer/tile/{z}/{y}/{x}, provided by ESRI, serves a world street map background layer.

We’ve doubled the default capacity (memory and compute cores) on our cloud deployment. This upgrade delivers faster analytics performance, especially when working with very large data sets.

The Categorized Trend Analytics page now supports three new bucket strategies: Hour, Day, and Month. These allow you to create continuous, time-aligned buckets exactly on the hour, day, or month boundaries. This is different from the existing modes like Hours of Day, which group data by clock hour (e.g., all events from 14:00–14:59, regardless of date).

We’ve also resolved a small alignment issue in the Auto and Fixed bucket size modes. Previously, buckets could sometimes be slightly misaligned with the start of your selected time period. This has now been fixed for more accurate trend visualizations.

You can now configure the color of the timeline on the Visual Analytics page and when used as a widget. Click the three dots in the top right corner of the timeline and select Edit > Chart Style. Both properties can be customized individually.

You can now configure the chart colors in regular trend analytics and their widgets. Click the three dots in the top right corner of the chart card and select Edit > Chart Style. You can customize the main chart color and the difference colors when comparing two time periods.

You can now configure the chart colors in categorized trend analytics and their widgets. Click the three dots in the top right corner of the chart card and select Edit > Chart Colors. Each category can be styled individually.

You can now enable linear interpolation for charts and their widgets on the timeline in the Visual Analytics page and on the regular Trend Analytics page. This fills gaps between data points to create a more continuous chart. For example, if your time series data has measurements only every hour, the values will be connected using lines or linearly interpolated bars, depending on the chart type. Click the three dots in the top right corner of the chart card and select Edit > Chart Style.

There are three new optional modules:

The visual analytics page now displays a scale indicator in the lower left corner of the map.

You can now use SHP files to define the geometry for Geometry data and Time series data sets, alongside GeoJSON data. Since SHP files consist of multiple files, they must be zipped before upload. You can either upload multiple zip files or include multiple SHP files in a single zip file.

For Areas of interest and Background layers, you can now also upload zip files containing multiple SHP files.

GeoJSON data has been renamed to Geometry data in both the web application and the REST API.

A new tutorial to learn how to upload INRIX Trip Paths data was added.

The origin-destination analysis now includes a table view for computed results, in addition to the matrix representation. The table can be sorted by number of trips, travel time, and other metrics. It also supports matrices larger than 100x100 and can be added as a widget on the dashboard.

When creating projects with multiple data sets, only the first data set is now visible by default. You can adjust the visibility and create a default bookmark to customize the project’s default opening behavior.

A new data type has been added: Movement path data. This data type enables the representation and analysis of trips following road networks. It allows for detailed street analysis, traffic flow analysis, origin-destination analysis much like the already existing Movement data.

Figure 1. Example movement path data set from INRIX consisting of trips along a road network.

Time series, Geometry, and Movement path data now use a multi-scale approach when handling road segment data. If your data set has a property with special meaning Priority Level with values (starting with) a number from 1 to 9 where 1 corresponds to the most important road type (e.g., highways), an automatic multi-scale representation will be generated. The approach favors larger roads (i.e., priority level 1) when zoomed out and smaller roads (e.g., priority level 6 or more) when zoomed in. This enables you to use country-wide road networks in your analysis.

Figure 2. Multi-scale handling of road network data. Left; Only showing the motorways when zoomed out. Right: also showing the smaller roads when zooming in.

Time series, Geometry, and Movement path data now enable the analysis of two-way roads. If your data set has a property with special meaning Reverse ID, the platform automatically understands that the road is a two-way road. For instance, if the identifier of a road segment is 2014921_0, then the reverse identifier might be -2014921_0. When configuring the reverse identifier, the platform understands that the road segment needs to be handled (and visualized) as a two-way road.

Figure 3. Handling of two-way roads, with indication of driving direction.

Road networks defined in Time series, Geometry, and Movement path data sets now display an arrow pointing in the driving direction when the road is visualized sufficiently widely. This benefits analysis of traffic on bi-directional roads. You can change the width of the visualized road segments using the Size scale slider.

Time series and geometry data sets now use the 'Style by' value as label instead of the shape’s name. This enables faster insight generation and more informative visualization. For instance, when displaying speed on a road segment, the label will now show the (average/min/max/…​) speed in the label. Additional information is now also shown when hovering with the mouse.

Time series and geometry data sets now do not expose the shapes as areas of interest shapes by default. You now have to explicitly configure this. When disabled, you cannot select the shapes as areas on the different analytics pages, for instance to display multiple trends on the Trend Analytics page. If enabled, you can use the shapes in the data set as before as areas of interest shapes.

Labels for Time series, Geometry, and Movement path data sets are now deconflicted (decluttered) for a better visual representation.

Some of the default styling options have changed. Styling by a numeric property now selects the Rainbow colormap by default. Accumulation styling is now also disabled by default. The latter can be enabled to apply a density effect based on the number of records or assets, in addition to the colormap used for styling.

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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.

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.

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.

The Categorized Trend Analytics feature now includes configurable Calculation Modes, offering a distinction between record-based and asset-based calculations.

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.

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.

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.

The advanced filter editor has been extended with improved syntax error highlighting, auto-completion, and adaptive documentation pointers.

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:

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.