arXiv:2603.11729v4 Announce Type: replace-cross Abstract: In recent years, RAPTOR based algorithms have been considered the state-of-the-art for path-finding with unlimited transfers without preprocessing. However, this status largely stems from the evolution of routing research, where Dijkstra-based solutions were superseded by timetable-based algorithms without a systematic comparison. In this work, we revisit classical Dijkstra-based approaches for public transit routing with unlimited transfers and demonstrate that Time-Dependent Dijkstra (TD-Dijkstra) outperforms MR. However, efficient TD
This paper re-evaluates classical algorithms against newer industry standards, suggesting a renewed focus on foundational efficiency in routing algorithms.
Improved routing algorithms can lead to more efficient public transit, impacting logistical planning and smart city initiatives.
The understanding of optimal graph traversal algorithms for specific public transit scenarios is updated, potentially influencing future software development.
- · Public Transit Software Developers
- · Smart City Planners
- · Logistics Companies
- · Inefficient Routing Algorithms
More accurate and faster public transit routing systems could be deployed.
This efficiency could lead to reduced travel times and potentially higher ridership in public transport.
Urban planning and infrastructure development might incorporate these optimized routing capabilities into their long-term strategies, affecting city layouts.
This signal links to a primary source. Continuum Brief monitors and indexes it as part of the live intelligence stream — we do not republish source content.
Read at arXiv cs.AI