traffic op• Data kinds: any → signal
• Call: import fullseye as fs; fs.ledger.poisson_events(rate_fn: 'Callable', x_max: 'float', *, rate_max: 'float', seed, n_grid: 'int' = 2001) -> 'np.ndarray' (to call the implementation directly, import drivetraffic; drivetraffic.poisson_events(rate_fn: 'Callable', x_max: 'float', *, rate_max: 'float', seed, n_grid: 'int' = 2001) -> 'np.ndarray'; from the registry, opsdrive.get("poisson_events"))
> This operator's description has not been translated yet. The original text follows as it is.
[0, x_max] の非一様ポアソン過程を thinning(Lewis & Shedler 1979)で 1 本引く(昇順の位置の配列)。
率 rate_max の一様ポアソン過程の候補を引き、各候補 x を確率 λ(x)/rate_max で残す。残った点は率 λ の非一様
ポアソン過程 → 件数 N ~ Poisson(Λ)、Λ = ∫₀^{x_max} λ(x) dx(門: 多数の試行で平均 = 分散 = Λ、位置の分布 = λ/Λ)。
`rate_fn は numpy 配列を受けて同じ形の率を返す関数。**引く前に** n_grid` 点の等間隔格子で λ ≤ rate_max を確かめ、
引いた候補の所でも確かめる。どちらかで超えれば ValueError(fail-closed。上限を守らないと thinning は静かに少なく数える)。
`seed は int か np.random.Generator`。
• 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
signal as input)flight_vacuum · magnus_lift_coefficient · drag_coefficient_sphere · restitution_from_apexes · restitution_from_intervals · fit_parabola · flight_fit · fit_aero
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.