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Dynamic Routing and Travel Time Prediction with Ant Based Control

  • Bogdan Tatomir
  • Adriana-Camelia Suson
  • Leon Rothkrantz
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5217)

Abstract

At this moment the capacity of the highways is not sufficient to transport all car drivers without delay. Especially in the rush hours there are enormous traffic jams. In case of special events such as traffic accidents car drivers can be delayed by hours. The losses in time and money are enormous, so the problem of traffic congestion has a high priority.

Keywords

Road Segment Intelligent Transportation System Dynamic Route Travel Time Prediction Binary Heap 
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.

References

  1. 1.
    Chabini, I., Lan, S.: Adaptations of the A* Algorithm for the Computation of Fastest Paths in Deterministic Discrete-Time Dynamic Networks. IEEE Transactions on Intelligent Transportation Systems 3(1), 60–74 (2002)CrossRefGoogle Scholar
  2. 2.
    Tatomir, B., Rothkrantz, L.J.M.: Dynamic traffic routing using Ant Based Control. In: International Conference on Systems, Man and Cybernetics IEEE SMC, pp. 3970–3975 (2004)Google Scholar
  3. 3.
    Tatomir, B., Rothkrantz, L.J.M.: Hierarchical routing in traffic using swarm intelligence. In: The 9th International IEEE Conference on Intelligent Transportation systems, pp. 228–235 (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Bogdan Tatomir
    • 1
  • Adriana-Camelia Suson
    • 2
  • Leon Rothkrantz
    • 2
  1. 1.Quintiq, ’s-HertogenboschThe Netherlands
  2. 2.Delft University of TechnologyDelftThe Netherlands

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