Abstract
Gaining insights into pedestrian flow operations and assessment tools for pedestrian walking speeds and comfort is important for e.g. planning and geometric design of infrastructural facilities, as well as for management of pedestrian flows under regular and safety-critical circumstances. Pedestrian flow operations are complex, and vehicular flow simulation modeling approaches are generally not applicable to pedestrian flow modeling.
This paper focusses on pedestrian walking behavior. It is assumed that pedestrians are autonomous predictive controllers that minimize the subjective predicted cost of walking. Pedestrians predict the behavior of other pedestrians based on their observations of the current state as well as predictions of the future state, given the assumed walking strategy of other pedestrians in their direct neighborhood. As such, walking can be represented by a (non-cooperative or cooperative) differential game, where pedestrians may or may not be aware of the walking strategy of the other pedestrians.
This research is funded by the Social Science Research Council (MaGW) of the Netherlands Organization for Scientific Research (NWO).
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Hoogendoorn, S.P. (2003). Walker Behaviour Modelling by Differential Games. In: Emmerich, H., Nestler, B., Schreckenberg, M. (eds) Interface and Transport Dynamics. Lecture Notes in Computational Science and Engineering, vol 32. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-07969-0_27
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DOI: https://doi.org/10.1007/978-3-662-07969-0_27
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