HighlightsA bi-level optimization methodology for variable pedestrian evacuation guidance is proposed.A logistic regression model for guidance compliance behavior is calibrated.The guidance compliance behavior is incorporated in the pedestrian simulation.A local search solution approach is adopted to solve the bi-level optimization problem.Benchmarks are calculated to evaluate the quality of the heuristic solution.

    AbstractA methodology for optimizing variable pedestrian evacuation guidance in buildings with convex polygonal interior spaces is proposed. The optimization of variable guidance is a bi-level problem. The calculation of variable guidance based on the prediction of congestion and hazards is the upper-level problem. The prediction of congestion provided the variable guidance is the lower-level problem. A local search procedure is developed to solve the problem. The proposed methodology has three major contributions. First, a logistic regression model for guidance compliance behavior is calibrated using a virtual reality experiment and the critical factors for the behavior are identified. Second, the guidance compliance and following behaviors are considered in the lower-level problem. Third, benchmarks are calculated to evaluate the performance of optimized variable guidance, including the lower bound of the maximum evacuation time and the maximum evacuation time under a fixed guidance. Finally, the proposed methodology is validated with numerical examples. Results show that the method has the potential to reduce evacuation time in emergencies.


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    Titel :

    Variable guidance for pedestrian evacuation considering congestion, hazard, and compliance behavior


    Beteiligte:
    Chu, James C. (Autor:in) / Chen, Albert Y. (Autor:in) / Lin, Yu-Fu (Autor:in)


    Erscheinungsdatum :

    2017-10-09


    Format / Umfang :

    20 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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