A multi-layer social force approach to model interactions in shared spaces using collision prediction
A multi-layer social force approach to model interactions in shared spaces using collision prediction
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DOI：
10.1016/j.trpro.2017.05.144
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
N. Rinke;C. Schiermeyer;F. Pascucci;V. Berkhahn;B. Friedrich
中科院分区：
文献类型：
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作者：
N. Rinke;C. Schiermeyer;F. Pascucci;V. Berkhahn;B. Friedrich
在共享空间环境中，道路使用者的运动不受交通规则的约束，而是交通使用者之间自发互动的结果，他们根据诸如眼神接触或礼貌行为等社会规则协商优先权。然而，适当的微观仿真工具，可以重现共享空间的操作，目前缺乏。在本文中，一个多层次的方法来表示道路使用者的运动和他们的互动，社会力量模型的基础上，开发。在自由流层中，为每个用户计算朝向其目的地的现实路径，而冲突层用于检测可能的冲突情况并计算适当的反应。这项工作在共享空间建模领域的新奇在于实现了群体动力学和基于SFM的骑车人方法。所提出的方法进行了定性测试，在不同的交通情况下，涉及骑自行车的人，行人和行人群体，并显示出现实的行为。
In shared space environments the movements of road users is not regulated by traffic rules, but is the result of spontaneous interaction between traffic users, who negotiate the priority according to social rules such as eye contact or courtesy behavior. However, appropriate micro simulation tools, which can reproduce the operation of shared spaces, are currently lacking. In this paper, a multi-layer approach for representing the movement of road users and their interaction, based on the Social Force Model, is developed. In a free-flow layer a realistic path is calculated for each user towards his destination, while a conflict layer is used for detecting possible conflict situations and computing an appropriate reaction. The novelty of this work in the field of shared space modeling is in the implementation of group dynamics and a SFM based approach for cyclists. The presented approach is qualitatively tested in different traffic situations involving cyclists, pedestrians and pedestrian groups, and shows realistic behavior.