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        <identifier>oai:drops-oai.dagstuhl.de:24773</identifier>
        <datestamp>2026-02-09T07:38:06Z</datestamp>
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          <dc:title>The Line-Based Dial-a-Ride Problem with Transfers</dc:title>
          <dc:creator>Barth, Jonas</dc:creator>
          <dc:creator>Reiter, Kendra</dc:creator>
          <dc:creator>Schmidt, Marie</dc:creator>
          <dc:subject>dial-a-ride</dc:subject>
          <dc:subject>line-based</dc:subject>
          <dc:subject>transfers</dc:subject>
          <dc:subject>on-demand</dc:subject>
          <dc:subject>ridepooling</dc:subject>
          <dc:description>We introduce the line-based dial-a-ride problem with transfers (liDARPT), a variation of the well-studied dial-a-ride problem (DARP), where vehicles transport requests on-demand but are constrained to operate along a set of lines, and passengers are allowed to transfer between lines on their journey. We develop an event-based solution approach for the liDARPT that relies on the construction of an event-based graph and uses a MILP to find optimal circulations in the event-based graph. To make this solution approach effective, we devise a pre-processing routine to limit the size of the event-based graph. We extensively test our approach on novel benchmark instances, inspired by real-life long-distance bus networks. In our experiments, problem instances with up to 80 requests can be solved to optimality within 15 minutes, and an average of 99.69% of requests are accepted in all instances solved to optimality.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Jonas Barth and Kendra Reiter and Marie Schmidt</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 137, 25th Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2025)</dc:relation>
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          <dc:identifier>doi:10.4230/OASIcs.ATMOS.2025.17</dc:identifier>
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          <dc:language>eng</dc:language>
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