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Changing Lanes on a Highway

Authors Thomas Petig, Elad M. Schiller, Jukka Suomela

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Subject Classification

ACM Subject Classification
  • Theory of computation → Discrete optimization
Keywords
  • Collaborative agents
  • vehicle scheduling
  • traffic optimization
  • approximation algorithms

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Abstract

We study a combinatorial optimization problem that is motivated by the scenario of autonomous cars driving on a multi-lane highway: some cars need to change lanes before the next intersection, and if there is congestion, cars need to slow down to make space for those who are changing lanes. There are two natural objective functions to minimize: (1) how long does it take for all traffic to clear the road, and (2) the total number of maneuvers. In this work, we present an approximation algorithm for solving these problems in the two-lane case and a hardness result for the multi-lane case.

Cite As Get BibTex

Thomas Petig, Elad M. Schiller, and Jukka Suomela. Changing Lanes on a Highway. In 18th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2018). Open Access Series in Informatics (OASIcs), Volume 65, pp. 9:1-9:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018) https://doi.org/10.4230/OASIcs.ATMOS.2018.9

Author Details

Thomas Petig
  • Qamcom Research and Technology AB, Sweden
Elad M. Schiller
  • Chalmers University of Technology, Sweden
Jukka Suomela
  • Aalto University, Finland

References

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