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Jam Avoidance with Autonomous Systems

In: Traffic and Granular Flow '15

Author

Listed:
  • Antoine Tordeux

    (Jülich Supercomputing Centre, Forschungszentrum Jülich, Germany and Computer Simulation for Fire Safety and Pedestrian Traffic, Bergische Universität Wuppertal)

  • Sylvain Lassarre

    (GRETTIA/COSYS – IFSTTAR)

Abstract

ManyTordeux, Antoine car-following modelsLassarre, Sylvain have been developed for jam avoidance in highways. Two mechanisms are used to improve the stability: feedback control with autonomous models and increasing of the interaction within cooperative ones. In this paper, we compare the linear autonomous and collective optimal velocity (OV) models. We observe that the stability is significantly increased by adding predecessors in interaction with collective models. Yet, autonomous and collective approaches are close when the speed difference term is taken into account. In the linear OV models tested, the autonomous models including speed difference are sufficient to maximise the stability.

Suggested Citation

  • Antoine Tordeux & Sylvain Lassarre, 2016. "Jam Avoidance with Autonomous Systems," Springer Books, in: Victor L. Knoop & Winnie Daamen (ed.), Traffic and Granular Flow '15, pages 411-418, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-33482-0_52
    DOI: 10.1007/978-3-319-33482-0_52
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