Context-Aware Route Planning

  • Adriaan W. ter Mors
  • Cees Witteveen
  • Jonne Zutt
  • Fernando A. Kuipers
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6251)


In context-aware route planning, there is a set of transportation agents each with a start and destination location on a shared infrastructure. Each agent wants to find a shortest-time route plan without colliding with any of the other agents, or ending up in a deadlock situation. We present a single-agent route planning algorithm that is both optimal and conflict-free. We also present a set of experiments that compare our algorithm to finding a conflict-free schedule along a fixed path. In particular, we will compare our algorithm to the approach where the shortest conflict-free schedule is chosen along one of k shortest paths. Although neither approach can guarantee optimality with regard to the total set of agent route plans — and indeed examples can be constructed to show that either approach can outperform the other — our experiments show that our approach consistently outperforms fixed-path scheduling.


Short Path Random Graph Destination Location Agent Plan Route Planning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Adriaan W. ter Mors
    • 1
  • Cees Witteveen
    • 1
  • Jonne Zutt
    • 1
  • Fernando A. Kuipers
    • 1
  1. 1.Delft University of TechnologyThe Netherlands

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