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.passing_simulate(dist_oncoming: 'float', parked_len: 'float', margin_front: 'float', margin_back: 'float', v_ego: 'float', v_oncoming: 'float', *, lane_change_time: 'float', ego_length: 'float' = 0.0, dt: 'float' = 0.01, v_obstacle: 'float' = 0.0) -> 'Dict[str, float]' (to call the implementation directly, import drivetraffic; drivetraffic.passing_simulate(dist_oncoming: 'float', parked_len: 'float', margin_front: 'float', margin_back: 'float', v_ego: 'float', v_oncoming: 'float', *, lane_change_time: 'float', ego_length: 'float' = 0.0, dt: 'float' = 0.01, v_obstacle: 'float' = 0.0) -> 'Dict[str, float]'; from the registry, opsdrive.get("passing_simulate"))
> This operator's description has not been translated yet. The original text follows as it is.
"go" にした場合を時間を進めて走らせ、PET(自車が対向車線から戻り切った時刻と、対向車がその地点に着く時刻の差)を返す。
閉形式と独立な経路: 自車の 横位置 を、x_in〜x_out の間は対向車線(y = 1)、x_out を過ぎたら
y(τ) = 1 − smoothstep(τ / T_lc)(τ = x_out を過ぎてからの時間)で戻すとして刻み dt で進め、y が 0 になった刻みを
探して刻み内を二分法で詰めた時刻を戻り切った時刻とする(T_lc = 0 なら x_out を過ぎた時刻)。対向車は x = D から
−v_on で進め、戻り切った地点を通る刻みを探して線形補間する。v_on = 0 なら PET = inf。
`v_obstacle` > 0: 障害物の前端の外(x_out)も v_obstacle で進む(走っている自転車の追い越し)。
戻り値 dict: `t_clear、x_clear、t_oncoming(対向車が x_clear に着く時刻)、pet`。
• 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 · 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.