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PreprintCC BY 4.0arXiv

Dynamics-preserving network reductions for ride-pooling paths

Abstract

Reducing the complexity of ride-pooling paths is a central challenge in systems with distributed demand. Here we show that such dynamics admit an exact coarse-grained representation: for a broad class of routing algorithms whose decisions depend only on path lengths, the full network can be reduced to an effective network of active nodes weighted by shortest-path distances without altering the resulting trajectories, up to stochastic degeneracy breaking. The reduction therefore defines an equivalence class of network representations generating identical path dynamics. We further demonstrate that for globally optimizing dispatchers this equivalence is systematically violated through degeneracy amplification, yet remains quantitatively accurate beyond the exactly solvable regime. Our results identify when spatial structure can be integrated out without loss of dynamical fidelity, providing a general framework for the analysis of interacting path processes.

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BibTeX
@misc{stiller2026dynamicspreserving,
  title = {{Dynamics-preserving network reductions for ride-pooling paths}},
  author = {Karolin Stiller and Nora Molkenthin},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.12603},
  eprint = {2609.12603},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.12603},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Dynamics-preserving network reductions for ride-pooling paths
AU  - Karolin Stiller
AU  - Nora Molkenthin
PY  - 2026
DA  - 2026/09/11
PB  - arXiv
DO  - 10.48550/arxiv.2609.12603
UR  - https://arxiv.org/abs/2609.12603
AB  - Reducing the complexity of ride-pooling paths is a central challenge in systems with distributed demand. Here we show that such dynamics admit an exact coarse-grained representation: for a broad class of routing algorithms whose decisions depend only on path lengths, the full network can be reduced to an effective network of active nodes weighted by shortest-path distances without altering the resulting trajectories, up to stochastic degeneracy breaking. The reduction therefore defines an equivalence class of network representations generating identical path dynamics. We further demonstrate that for globally optimizing dispatchers this equivalence is systematically violated through degeneracy amplification, yet remains quantitatively accurate beyond the exactly solvable regime. Our results identify when spatial structure can be integrated out without loss of dynamical fidelity, providing a general framework for the analysis of interacting path processes.
ER  -