Multiple plan approach for a dynamic dial-a-ride problem

Abstract In densely populated areas, ridepooling services are becoming more and more popular and can contribute to promote sustainable mobility concepts. In this paper, we study a dynamic dial-a-ride problem and propose a novel two-phase multiple plan approach. By maintaining multiple plans simultaneously over the course of the optimization procedure, we increase the likelihood and speed of a successful insertion for dynamically arising customer requests. Additionally, we present a new metric to replace the commonly used distance minimization as guidance within the optimization procedure. In order to examine the impact of certain instance characteristics on the quality of the solutions, we evaluate our design decisions on various instance sets. The results show that the proposed method consistently outperforms commonly used single plan approaches.

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Publication Details

Journal
OR Spectrum
Published
2025-02-03
DOI
https://doi.org/10.1007/s00291-025-00809-y
Citations
2
Primary Topic
Vehicle Routing Optimization Methods
Type
article
Field-Weighted Citation Impact
2.48

Funders

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article

Multiple plan approach for a dynamic dial-a-ride problem

Christian Ackermann, Julia Rieck
2 citations
OR Spectrum
Vehicle Routing Optimization Methods
2.48
article

Multiple plan approach for a dynamic dial-a-ride problem

Christian Ackermann, Julia Rieck
article en
2 citations

Abstract

Abstract In densely populated areas, ridepooling services are becoming more and more popular and can contribute to promote sustainable mobility concepts. In this paper, we study a dynamic dial-a-ride problem and propose a novel two-phase multiple plan approach. By maintaining multiple plans simultaneously over the course of the optimization procedure, we increase the likelihood and speed of a successful insertion for dynamically arising customer requests. Additionally, we present a new metric to replace the commonly used distance minimization as guidance within the optimization procedure. In order to examine the impact of certain instance characteristics on the quality of the solutions, we evaluate our design decisions on various instance sets. The results show that the proposed method consistently outperforms commonly used single plan approaches.

OR SpectrumVol. 47(3)
University of Hildesheim (DE)
Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 12%
Vehicle Routing Optimization Methods
2.48
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