bus_stop_rate — DRIVE `traffic` op

• Data kinds: any → any

• Call: import fullseye as fs; fs.ledger.bus_stop_rate(x, *, bus_rear: 'float', bus_front: 'float', base: 'float', peak: 'float', spread: 'float') (to call the implementation directly, import drivetraffic; drivetraffic.bus_stop_rate(x, *, bus_rear: 'float', bus_front: 'float', base: 'float', peak: 'float', spread: 'float'); from the registry, opsdrive.get("bus_stop_rate"))

Usage

Emergence rate that is high ahead of and behind a stopped bus: λ(x) = base + peak [exp(−½((x − rear)/spread)²) + exp(−½((x − front)/spread)²)] [events/m]. An example of the pattern in which people come out from the bus's shadow (beyond its front end) and from behind it (the values are the caller's assumptions). The upper bound is base + 2·peak.

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).*

bus_stop_rate — DRIVE traffic op