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Pith Number

pith:EDZVNKCX

pith:2025:EDZVNKCX4ZNOZYUMASDZ5P7WE4
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Accelerating Time-Optimal Trajectory Planning for Connected and Automated Vehicles with Graph Neural Networks

Andreas A. Malikopoulos, Viet-Anh Le

A graph neural network provides warm starts that let numerical optimizers compute time-optimal trajectories for connected automated vehicles much faster.

arxiv:2511.20383 v2 · 2025-11-25 · eess.SY · cs.SY

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\pithnumber{EDZVNKCX4ZNOZYUMASDZ5P7WE4}

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2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

The trained model produces online predictions that serve as warm-starts for numerical optimization, thereby enabling rapid computation of minimal exit times and the associated feasible trajectories.

C2weakest assumption

That the graph neural network trained on offline-generated data will generalize to produce effective warm starts for previously unseen online traffic configurations without degrading the quality or feasibility of the resulting optimized trajectories.

C3one line summary

A graph isomorphism network with edge features is trained on offline data to provide warm starts for numerical optimization of time-optimal multi-agent trajectories in connected automated vehicles, reducing computation time while preserving performance through replanning.

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-18T02:44:32.334919Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

20f356a857e65aece28c04879ebff6272f68c601c4494f65b2aa93953989c634

Aliases

arxiv: 2511.20383 · arxiv_version: 2511.20383v2 · doi: 10.48550/arxiv.2511.20383 · pith_short_12: EDZVNKCX4ZNO · pith_short_16: EDZVNKCX4ZNOZYUM · pith_short_8: EDZVNKCX
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EDZVNKCX4ZNOZYUMASDZ5P7WE4 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 20f356a857e65aece28c04879ebff6272f68c601c4494f65b2aa93953989c634
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "eess.SY",
    "submitted_at": "2025-11-25T15:05:49Z",
    "title_canon_sha256": "1a323bc6db0dc4829c95ab6395791d0d7e70d44644598425ba08675366b77ec9"
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    "kind": "arxiv",
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