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The Line-Based Dial-a-Ride Problem

Authors Kendra Reiter , Marie Schmidt , Michael Stiglmayr

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OASIcs.ATMOS.2024.14.pdf
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Kendra Reiter
  • Department of Computer Science, University of Würzburg, Germany
Marie Schmidt
  • Department of Computer Science, University of Würzburg, Germany
Michael Stiglmayr
  • Department of Mathematics and Informatics, University of Wuppertal, Germany

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Kendra Reiter, Marie Schmidt, and Michael Stiglmayr. The Line-Based Dial-a-Ride Problem. In 24th Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2024). Open Access Series in Informatics (OASIcs), Volume 123, pp. 14:1-14:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024) https://doi.org/10.4230/OASIcs.ATMOS.2024.14

Abstract

On-demand ridepooling systems offer flexible services pooling multiple passengers into one vehicle, complementing traditional bus services. We propose a transportation system combining the spatial aspects of a fixed sequence of bus stops with the temporal flexibility of ridepooling. In the line-based Dial-a-Ride problem (liDARP), vehicles adhere to a fixed, ordered sequence of stops in their routes, with the possibility of taking shortcuts and turning if they are empty. We propose three MILP formulations for the liDARP with a multi-objective function balancing environmental aspects with customer satisfaction, comparing them on a real-world bus line. Our experiments show that the formulation based on an Event-Based graph is the fastest, solving instances with up to 50 requests in under one second. Compared to the classical DARP, the liDARP is computationally faster, with minimal increases in total distance driven and average ride times.

Subject Classification

ACM Subject Classification
  • Applied computing → Transportation
Keywords
  • DARP
  • ridepooling
  • liDARP
  • public transport
  • on-demand

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