decide 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.signal_phase_plan(*, crossing_length: 'float', ped_green: 'float', walk_speed: 'float' = 1.0, ped_red_to_amber: 'float' = 2.0, amber: 'float' = 3.0, all_red: 'float' = 2.0, cross_green: 'float' = 20.0, cross_amber: 'Optional[float]' = None, cross_all_red: 'Optional[float]' = None, flash_fraction: 'float' = 1.0) -> 'Dict[str, object]' (to call the implementation directly, import drivedecide; drivedecide.signal_phase_plan(*, crossing_length: 'float', ped_green: 'float', walk_speed: 'float' = 1.0, ped_red_to_amber: 'float' = 2.0, amber: 'float' = 3.0, all_red: 'float' = 2.0, cross_green: 'float' = 20.0, cross_amber: 'Optional[float]' = None, cross_all_red: 'Optional[float]' = None, flash_fraction: 'float' = 1.0) -> 'Dict[str, object]'; from the registry, opsdrive.get("signal_phase_plan"))
> This operator's description has not been translated yet. The original text follows as it is.
2 現示の信号の時間割(主道路 A と、それに 並行する歩行者信号、交差道路 B)。時刻 0 = A の青の始まり。
歩行者 A: 青 [0, g) → 青点滅 [g, g + F) → 赤 [g + F, 周期)、F = flash_fraction · crossing_length / walk_speed
車両 A: 青 [0, t_y) → 黄 [t_y, t_y + Y) → 赤、t_y = g + F + Δ(Δ = `ped_red_to_amber`)
全赤 [t_y + Y, t_y + Y + AR) → 車両 B: 青 G_B → 黄 → 全赤 → 周期の終わり
返り値: `intervals({"veh_A", "ped_A", "veh_B"} → [(始, 終, 状態)])、cycle、ped_flash_start` = g、
`ped_flash_duration = F、ped_red_onset、amber_onset = t_y、red_onset、ped_red_to_amber` = Δ。
状態は `"green" / "flash" / "amber" / "red"`。
`flash_fraction = 1 は「点滅の始めに渡り始めた人が渡りきる」、0.5 は学会論文の L/(2V)(SOURCES "flash_rule")。数値の既定(黄 3 s・全赤 2 s・Δ 2 s・歩行速度)は SOURCES` を見る。
• 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_decisions — py -3.11 examples/poc_driving_decisions.py
table as input)course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same
decide)mirror_reflection_matrix · mirror_virtual_camera · mirror_aim_normal · convex_mirror_fov · mirror_blind_zone · check_sequence_score · signal_state · predict_amber_onset
*Provenance: drivedecide.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.