idm_accel — DRIVE traffic op

• Data kinds: any → any

• Call: import fullseye as fs; fs.ledger.idm_accel(v, gap, dv, *, v0: 'float', T: 'float', a: 'float', b: 'float', s0: 'float', delta: 'float' = 4.0) (to call the implementation directly, import drivetraffic; drivetraffic.idm_accel(v, gap, dv, *, v0: 'float', T: 'float', a: 'float', b: 'float', s0: 'float', delta: 'float' = 4.0); from the registry, opsdrive.get("idm_accel"))

Usage

Acceleration of the Intelligent Driver Model (Treiber, Hennecke, Helbing 2000).

a_IDM = a [ 1 − (v/v0)^δ − (s*/s)² ], s* = s0 + max(0, v T + v Δv / (2 sqrt(a b)))

dv = Δv = v − v_lead (positive when closing in), gap = s = distance to the rear of the leading vehicle (> 0; inf = road ahead is clear). v, gap, dv also work as arrays via numpy broadcasting (passing scalars returns a float).

Gate: at the equilibrium gap idm_equilibrium_gap with Δv = 0 the result is 0; with gap = inf it is a(1 − (v/v0)^δ).

Raises ValueError: v < 0, gap ≤ 0, non-finite, parameters not positive.

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_decisions — py -3.11 examples/poc_driving_decisions.py

• poc_driving_town — py -3.11 examples/poc_driving_town.py

• 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_equilibrium_gap · idm_platoon_simulate · driver_style · lateral_wobble · ou_estimate · social_force_step · pedestrian_crossing · occlusion_reveal_distance

*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.