Early Pruning for Public Transport Routing 文章

ArXiv CS.AI2026-05-27NEWSen作者: Andrii Rohovyi, Abdallah Abuaisha, Toby Walsh

详细信息

来源站点
ArXiv CS.AI
作者
Andrii Rohovyi, Abdallah Abuaisha, Toby Walsh
文章类型
NEWS
语言
en
发布日期
2026-05-27

摘要

arXiv:2603.12592v4 Announce Type: replace-cross Abstract: Routing algorithms for public transport, particularly the widely used RAPTOR and its variants, often face performance bottlenecks during the transfer relaxation phase, especially on dense transfer graphs, when supporting unlimited transfers. This inefficiency arises from iterating over many potential inter-stop connections (walks, bikes, e-scooters, etc.). To maintain acceptable performance, practitioners often limit transfer distances or exclude certain transfer options, which can reduce path optimality and restrict the multimodal options presented to travellers. This paper introduces Early Pruning, a low-overhead technique that accelerates routing algorithms without compromising optimality. By pre-sorting transfer connections by duration and applying a pruning rule within the transfer loop, the method discards longer transfers at a stop once they cannot yield an earlier arrival than the current best solution.