traffic op• Data kinds: any → any
• Call: import fullseye as fs; fs.ledger.poisson_events_xt(rate_fn: 'Callable', x_max: 'float', t_max: 'float', *, rate_max: 'float', seed, n_grid=(201, 201)) -> 'np.ndarray' (to call the implementation directly, import drivetraffic; drivetraffic.poisson_events_xt(rate_fn: 'Callable', x_max: 'float', t_max: 'float', *, rate_max: 'float', seed, n_grid=(201, 201)) -> 'np.ndarray'; from the registry, opsdrive.get("poisson_events_xt"))
> This operator's description has not been translated yet. The original text follows as it is.
[0, x_max] × [0, t_max] の時空の非一様ポアソン過程(率 λ(x, t) [件/(m·s)])を thinning で 1 本引く。
停車中のバスのように、出現率が場所と時刻の両方に依る場合(λ(x, t) = bus_stop_rate(x) · [t < 発車] + base)。
率 rate_max の一様な候補(件数 ~ Poisson(rate_max · x_max · t_max)、位置・時刻は一様)を確率 λ/rate_max で残す。
件数 ~ Poisson(Λ)、Λ = ∫∫λ dx dt。`rate_fn(x, t)` は同じ形の配列 2 つを受けて率を返す関数。
引く前に `n_grid = (nx, nt)` の格子で λ ≤ rate_max を確かめ、候補の所でも確かめる(超えれば ValueError)。
戻り値: (N, 2) の配列 [[x, t], ...] (時刻の昇順)。
• 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
any as input)course_crank · course_s_curve · course_turnaround · course_slope · course_intersection · course_parallel_parking · course_crossing · course_road
traffic)idm_accel · idm_equilibrium_gap · idm_platoon_simulate · driver_style · lateral_wobble · ou_estimate · social_force_step · pedestrian_crossing
*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.