Changelog

Source: NEWS.md

transittraj 0.1.2

Release: 3/25/2026

• Added examples to all function documentation

• GTFS helper functions:

  • New function get_gtfs_service_dates(): Returns a dataframe of dates and their service_ids, built from a GTFS feed’s calendar.txt and/or calendar_dates.txt file, depending on how the agency has structured these files. Read more at help(get_gtfs_service_dates).

  • get_gtfs_trajectory_fun() now works for both methods of constructing calendar.txt and calendar_dates.txt (#2), with refactoring through the new get_gtfs_service_dates(). Read more at help(get_gtfs_trajectory_fun).

  • get_stop_distances() will now return all columns in stops.txt (#4)

• Plotting functions now include input parameters feature_legend, veh_legend, and traj_legend to override whether a layer’s legend will appear on the plot. Read more at help(plot_trajectory) and help(plot_animated_line).

transittraj 0.1.1

Release: 3/13/2026

• Refactoring of plot_trajectory(), and redesign of how the function chooses points to interpolate over (#3).

  • If the user specifies a distance_lim, the function will attempt to use an inverse trajectory function to find appropriate starting and ending timepoints for interpolation; if an inverse function does not exist, the user will be informed that interpolation must occur over the entire trip.

  • Performance is improved substantially, and performance scales well with plot_trips length, distance_lim range, and timestep resolution. Most everyday trajectory plots generate in less than 1 second, and large plots (with hundreds, or even thousands, of trajectories) generate in just a few seconds.

  • Improved error handling in plot_trajectory(). Error messages should now better inform the user if filtering (i.e., plot_trips and distance_lim) does not contain any data points.

• Refactoring of predict().

  • New exported function get_trip_extremes() for extracting the time and distance range of each trip stored in a trajectory object. Primarily used by predict() and plotting functions, but may be useful for users. Users can filter the output dataframe to desired trips. Check out help(get_trip_extremes) for more information.

  • Improved performance through restructured table operations when pairing new interpolating points with individual trips (#3).

  • New dedicated internal validating function for new_times and new_distances to reduce code duplication and improve error messages (#2).

transittraj 0.1.0

Release: 2/27/2026

• Initial release of transittraj for public use.