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pith:IIT4PTPD

pith:2026:IIT4PTPD7ADWHIFFEJR7ERHZX5
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Algorithmic Energy Management in Constrained Railway Traction Networks: A Systematic Review

Marton Laszlo Ambrus, Stuart Hillmansen, Zhongbei Tian

Single-train railway power optimizations are grid-blind and cannot protect network capacity without multi-train simulations.

arxiv:2604.06369 v3 · 2026-04-07 · eess.SY · cs.SY

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\pithnumber{IIT4PTPD7ADWHIFFEJR7ERHZX5}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
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

traditional, single-train optimisations are fundamentally 'grid-blind', necessitating a shift toward multi-train simulations to protect the network's Firm Service Capacity.

C2weakest assumption

That the body of reviewed literature contains sufficient evidence to establish both the grid-blind nature of single-train methods and the practical superiority of multi-train approaches, without the abstract providing any specific citations, counter-examples, or coverage statistics.

C3one line summary

A systematic review concludes that single-train power optimizations are grid-blind and that future railway energy management must incorporate multi-train simulations and human-machine interfaces to protect network capacity.

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-05-26T02:05:09.020387Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

4227c7cde3f80763a0a52263f244f9bf6d018578d91ca692af61e2668d18d040

Aliases

arxiv: 2604.06369 · arxiv_version: 2604.06369v3 · doi: 10.48550/arxiv.2604.06369 · pith_short_12: IIT4PTPD7ADW · pith_short_16: IIT4PTPD7ADWHIFF · pith_short_8: IIT4PTPD
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IIT4PTPD7ADWHIFFEJR7ERHZX5 \
  | 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: 4227c7cde3f80763a0a52263f244f9bf6d018578d91ca692af61e2668d18d040
Canonical record JSON
{
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    "abstract_canon_sha256": "7e6143eadf8bf0323a27c68b9692fca03738324e054a49ccb8cb3eefccedfaa7",
    "cross_cats_sorted": [
      "cs.SY"
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "eess.SY",
    "submitted_at": "2026-04-07T18:51:40Z",
    "title_canon_sha256": "143f1bfe0bce7e69231bad7247b4fd745ba8ae026c5e08efaa0ff86c9c7291aa"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.06369",
    "kind": "arxiv",
    "version": 3
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}