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Optimal Bicycle Routes with Few Signal Stops

Authors Ekkehard Köhler, Markus Rogge, Robert Scheffler , Martin Strehler

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Ekkehard Köhler
  • Institute of Mathematics, Brandenburg University of Technology, Cottbus, Germany
Markus Rogge
  • Institute of Mathematics, Brandenburg University of Technology, Cottbus, Germany
Robert Scheffler
  • Institute of Mathematics, Brandenburg University of Technology, Cottbus, Germany
Martin Strehler
  • Department of Mathematics, Westsächsische Hochschule Zwickau, Germany

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Ekkehard Köhler, Markus Rogge, Robert Scheffler, and Martin Strehler. Optimal Bicycle Routes with Few Signal Stops. In 23rd Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2023). Open Access Series in Informatics (OASIcs), Volume 115, pp. 1:1-1:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023) https://doi.org/10.4230/OASIcs.ATMOS.2023.1

Abstract

With the increasing popularity of cycling as a mode of transportation, there is a growing need for efficient routing algorithms that consider the specific requirements of cyclists. This paper studies the optimization of bicycle routes while minimizing the number of stops at traffic signals. In particular, we consider three different types of stopping strategies and three types of routes, namely paths, trails, and walks. We present hardness results as well as a pseudo-polynomial algorithm for the problem of computing an optimal route with respect to a pre-defined stop bound.

Subject Classification

ACM Subject Classification
  • Mathematics of computing → Graph algorithms
  • Mathematics of computing → Paths and connectivity problems
  • Applied computing → Transportation
Keywords
  • Constrained shortest path
  • traffic signals
  • bicycle routes

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References

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