文章基本信息

标题：How to Apply Assignment Methods that were Developed for Vehicular Traffic to Pedestrian Microsimulations
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作者：Vidal Roca ; Vidal Roca ; Vicente Torres 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2014
卷号：162
页码：15-23
DOI：10.1016/j.sbspro.2014.12.181
语种：English
出版社：Elsevier
摘要：AbstractApplying assignment methods to compute user-equilibrium route choice is very common in traffic planning. It is common sense that vehicular traffic arranges in a user-equilibrium based on generalized costs in which travel time is a major factor.Surprisingly travel time has not received much attention for the route choice of pedestrians. In microscopic simulations of pedestrians the vastly dominating paradigm for the computation of the preferred walking direction is set into the direction of the (spatially) shortest path.For situations where pedestrians have travel time as primary determinant for their walking behavior it would be desirable to also have an assignment method in pedestrian simulations.To apply existing (road traffic) assignment methods with simulations of pedestrians one has to reduce the non-denumerably many possible pedestrian trajectories to a small subset of routes which represent the main, relevant, and significantly distinguished routing alternatives.All except one of these routes will mark detours, i.e. not the shortest connection between origin and destination. The proposed assignment method is intended to work with common operational models of pedestrian dynamics. These – as mentioned before – usually send pedestrians into the direction of the spatially shortest path. Thus, all detouring routes have to be equipped with intermediate destinations, such that pedestrians can do a detour as a piecewise connection of segments on which they walk into the direction of the shortest path. One has then to take care that the transgression from one segment to the following one no artifacts are introduced into the pedestrian trajectory.
关键词：pedestrian simulation;assignment;equilibrium;route choice ;