traffic op• Data kinds: none → table (an op determined by its arguments alone — it takes no image or data input)
• Call: import fullseye as fs; fs.ledger.driver_style(kind: 'str', seed: 'Optional[int]' = None) -> 'Dict[str, float]' (to call the implementation directly, import drivetraffic; drivetraffic.driver_style(kind: 'str', seed: 'Optional[int]' = None) -> 'Dict[str, float]'; from the registry, opsdrive.get("driver_style"))
Returns the parameters of 3 driving styles ("careful" / "normal" / "sloppy"). All values are assumptions (no source).
Keys: IDM's v0, T, a, b, s0, delta, reaction_delay [s], lateral wobble (OU process) wobble_theta [1/s] and wobble_sigma [m/√s] (stationary standard deviation σ/sqrt(2θ) = 0.05 / 0.11 / 0.28 m), speed_noise (relative unevenness of the desired speed), length 4.5 m (assumed), kind. The return value can be passed as is as one vehicle to idm_platoon_simulate.
Given seed, the main values are multiplied by a uniform ±10% individual difference (deterministic via default_rng(seed)). With None, nominal values. Ordering properties (gate): at nominal values careful has the largest T and s0 and the smallest reaction delay, sloppy the opposite, and the stationary SD of wobble is careful < normal < sloppy.
Raises ValueError: unknown kind.
• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).
• Operator provenance and references — the sources of the research/methods this op family came from.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• poc_driving_traffic — py -3.11 examples/poc_driving_traffic.py
table as input)course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same
traffic)idm_accel · idm_equilibrium_gap · idm_platoon_simulate · lateral_wobble · ou_estimate · social_force_step · pedestrian_crossing · occlusion_reveal_distance
*Provenance: drivetraffic.py — DRIVE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.