Changing lanes on a highway

Thomas Petig, Elad M. Schiller, Jukka Suomela

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publication18th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems, ATMOS 2018
EditorsSabine Storandt, Ralf Borndorfer
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Print)9783959770965
DOIs
StatePublished - 1 Aug 2018
Externally publishedYes
Event18th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems, ATMOS 2018 - Helsinki, Finland
Duration: 23 Aug 201824 Aug 2018

Publication series

NameOpenAccess Series in Informatics
Volume65
ISSN (Print)2190-6807

Conference

Conference18th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems, ATMOS 2018
Country/TerritoryFinland
CityHelsinki
Period23/08/1824/08/18

Keywords

  • Approximation algorithms
  • Collaborative agents
  • Traffic optimization
  • Vehicle scheduling

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Modeling and Simulation

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