Object Pathing URL

The data explains parameters and URLs for configuring object pathing, heatmaps, durations, channels, and near-miss events in AlphaX.

Parameters and Their Configurations

Parameter	Purpose	Expected Values	Default Behaviour
path	Toggles whether object paths are drawn on the canvas.	0 (disabled), 1 (enabled)	If omitted, the legend is hidden, and paths are not drawn.
heat	Toggles the display of a heatmap overlay.	0 (disabled), 1 (enabled)	If omitted, heatmap overlay is not displayed.
hsize	Defines the radius of the heatmap points.	Positive integers (e.g., 10, 20)	If omitted, a default value is used for heatmap radius.
hintensity	Sets the maximum intensity of heatmap points.	Positive integers (e.g., 10, 50)	If omitted, a default maximum intensity is applied.
duration	Determines the time range for which data is displayed.	1h (1 hour), 24h (24 hours), 7d (7 days)	Defaults to 1h (last hour) if not specified.
channels	Specifies the data channels to display, separated by commas.	Comma-separated integers (e.g., 0,1,2)	Displays all channels unless specific channels are hidden via UI toggles.
miss	Toggles display of "near miss" events.	0 (disabled), 1 (enabled)	If omitted, near miss events are not displayed.

Example Use Cases

Use Case	URL	Behaviour
Default View	https://app.alphax.cloud/objectPathing?netid=114110250233400030	Displays data for the last hour. Paths, heatmap, and near-miss events are disabled.
Enable Paths and Heatmap with Custom Settings	https://app.alphax.cloud/objectPathing?netid=114110250233400030&path=1&heat=1&hsize=25&hintensity=30	Displays paths and heatmap. Uses a radius of 25 and an intensity of 30 for heatmap points.
Last Week's Data for Bicycles and Pedestrians	https://app.alphax.cloud/objectPathing?netid=114110250233400030&duration=7d&channels=1,3	Displays data from the last 7 days. Only includes channels 1 (bicycles) and 3 (pedestrians) in visualizations.
Enable Near Miss Events	https://app.alphax.cloud/objectPathing?netid=114110250233400030&miss=1	Visualizes near miss events with predictive trajectories and icons.