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        <datestamp>2026-08-25T13:18:15Z</datestamp>
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          <dc:title>T-REX: Fast and Dynamic Journey Planning for Continental-Scale Public Transit Networks</dc:title>
          <dc:creator>Sauer, Jonas</dc:creator>
          <dc:creator>Steil, Patrick</dc:creator>
          <dc:creator>Witt, Sascha</dc:creator>
          <dc:subject>Public transit routing</dc:subject>
          <dc:subject>graph algorithms</dc:subject>
          <dc:subject>algorithm engineering</dc:subject>
          <dc:description>We present T-REX (Transfer-Ranked EXploration), a new algorithm for journey planning in public transit networks on the country and continental scale. Our algorithm applies the principles of multi-level overlays to Trip-Based Public Transit Routing (TB). Using a multi-level partition of the network, T-REX identifies transfers between trips that are relevant for long-distance travel in a short precomputation phase. This information is then used to prune irrelevant local transfers during a query. Like other state-of-the-art algorithms, T-REX Pareto-optimizes arrival time and the number of used trips. T-REX dramatically outperforms previous overlay-based algorithms for three key reasons: (1) a better partition, (2) reducing the search space by focusing on transfers rather than trips, and (3) a redesigned query algorithm with improved memory efficiency and throughput. As a result, T-REX answers queries in less than 10ms on a network of Europe, including local and long-distance transit. This constitutes a speedup of 20 compared to TB and 80 compared to algorithms without preprocessing. The memory footprint is moderate and the precomputation takes only two minutes, while real-time schedule updates can be incorporated in a few seconds. These properties make T-REX the first public transit journey planning algorithm that fulfills the requirements of interactive real-time applications on the continental scale.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Jonas Sauer and Patrick Steil and Sascha Witt</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 388, 34th Annual European Symposium on Algorithms (ESA 2026)</dc:relation>
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          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2026.9</dc:identifier>
          <dc:language>eng</dc:language>
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