passing_decision — DRIVE traffic op

• Data kinds: none → any (an op determined by its arguments alone — it takes no image or data input)

• Call: import fullseye as fs; fs.ledger.passing_decision(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, pet_min: 'float' = 0.0, v_obstacle: 'float' = 0.0) -> 'str' (to call the implementation directly, import drivetraffic; drivetraffic.passing_decision(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, pet_min: 'float' = 0.0, v_obstacle: 'float' = 0.0) -> 'str'; from the registry, opsdrive.get("passing_decision"))

Usage

Returns "go" or "wait" from the distance to the oncoming vehicle dist_oncoming (at decision time, when the ego vehicle is at x_in).

If D ≥ D* (passing_gap_required of d_required), "go" (exactly at the boundary, PET = pet_min, so go). dist_oncoming = +inf means "no oncoming vehicle" = "go" (the other arguments are still checked). −inf and NaN raise ValueError. v_obstacle > 0 is a moving obstacle (passing_gap_required).

Gate: the decision switches at D* ± ε / the boundary where the PET of passing_simulate becomes pet_min coincides with D*.

References (sample data, literature)

• 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.

Runnable examples (verified samples that actually call this op)

• poc_driving_traffic — py -3.11 examples/poc_driving_traffic.py

Ops the type connects to (they accept any as input)

course_crank · course_s_curve · course_turnaround · course_slope · course_intersection · course_parallel_parking · course_crossing · course_road

Same category (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.