pith:HLPEXUWK
Fast and Memory Efficient Multimodal Journey Planning with Delays
Adapting ULTRA, CSA and RAPTOR for delays yields faster and more memory-efficient multimodal journey planning.
arxiv:2604.16149 v4 · 2026-04-17 · cs.DS
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Claims
We demonstrate a speedup of 1.9-4.2x over existing algorithms in the single-objective search (earliest arrival time). In the bicriteria setting, we achieve competitive speedup results but greater accuracy. We also find that our method scales much better as the delay buffer Delta increases.
The delay model and graph representations used in the adaptations of ULTRA, CSA, and RAPTOR are sufficient to maintain correctness and the claimed accuracy improvements on the evaluated instances (implicit in the abstract's performance claims).
Extensions to delay-aware multimodal journey planning frameworks (ULTRA, CSA, RAPTOR) deliver 1.9-4.2x speedups in earliest-arrival queries, competitive bicriteria performance with higher accuracy, and better scaling as the delay buffer Delta grows.
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| First computed | 2026-05-20T00:00:38.318889Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/HLPEXUWK37HQQJYLBYSJL4XSSJ \
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Canonical record JSON
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