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Estimation of Discretised Motion of Pedestrians by the Decision-Making Model

In: Traffic and Granular Flow '15

Author

Listed:
  • Pavel Hrabák

    (The Institute of Information Theory and Automation of the Czech Academy of Sciences)

  • Ondřej Ticháček

    (The Institute of Information Theory and Automation of the Czech Academy of Sciences)

  • Vladimíra Sečkárová

    (The Institute of Information Theory and Automation of the Czech Academy of Sciences)

Abstract

The contributionHrabák, Pavel gives a micro-structural insight intoTicháček, Ondřej the pedestrian decisionSečkárová, Vladimíra process during an egress situation. A method how to extract the decisions of pedestrians from the trajectories recorded during the experiments is introduced. The underlying Markov decision process is estimated using the finite mixture approximation. Furthermore, the results of this estimation can be used as an input to the optimisation of a Markov decision process for one ‘clever’ agent. This agent optimises his strategy of motion with respect to different reward functions, minimising the time spent in the room or minimising the amount of inhaled CO.

Suggested Citation

  • Pavel Hrabák & Ondřej Ticháček & Vladimíra Sečkárová, 2016. "Estimation of Discretised Motion of Pedestrians by the Decision-Making Model," Springer Books, in: Victor L. Knoop & Winnie Daamen (ed.), Traffic and Granular Flow '15, pages 313-320, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-33482-0_40
    DOI: 10.1007/978-3-319-33482-0_40
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