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).
> The detailed description below is the original text — the summary and the headings are translated.
キー: IDM の v0, T, a, b, s0, delta、reaction_delay [s]、横ふらつき(OU 過程)の wobble_theta [1/s] と wobble_sigma [m/√s] (定常の標準偏差は σ/sqrt(2θ) = 0.05 / 0.11 / 0.28 m)、speed_noise(希望速度の相対むら)、length 4.5 m(仮定)、kind。返り値はそのまま idm_platoon_simulate の 1 台分に渡せる。
seed を与えると、主要な値に一様 ±10% の個人差を掛ける(default_rng(seed) で決定的)。None なら名目値。順序の性質(門): 名目値で careful の T・s0 が最大で反応遅れが最小、sloppy がその逆、ふらつきの定常 SD は careful < normal < sloppy。
Raises ValueError: 未知の 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.