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首页> 外文期刊>ISPRS International Journal of Geo-Information >Probabilistic Model of Random Encounter in Obstacle Space
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Probabilistic Model of Random Encounter in Obstacle Space

机译:障碍空间中随机遭遇的概率模型

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Based on probabilistic time-geography, the encounter between two moving objects is random. The quantitative analysis of the probability of encounter needs to consider the actual geographical environment. The existing encounter probability algorithm is based on homogeneous space, ignoring the wide range of obstacles and their impact on encounter events. Based on this, this paper introduces obstacle factors, proposes encounter events that are constrained by obstacles, and constructs a model of the probability of encounters of moving objects based on the influence of obstacles on visual perception with the line-of-sight view analysis principle. In realistic obstacle space, this method provides a quantitative basis for predicting the encountering possibility of two mobile objects and the largest possible encounter location. Finally, the validity of the model is verified by experimental results. The model uses part of the Wuhan digital elevation model (DEM) data to calculate the encounter probability of two moving objects on it, and analyzes the temporal and spatial distribution characteristics of these probabilities.
机译:基于概率时间地理,两个运动对象之间的相遇是随机的。对遭遇概率的定量分析需要考虑实际的地理环境。现有的遭遇概率算法基于均匀空间,而忽略了障碍物的广泛范围及其对遭遇事件的影响。在此基础上,本文介绍了障碍因素,提出了受障碍约束的遭遇事件,并基于视线视角分析原理,基于障碍对视觉感知的影响,构造了移动物体遇见概率的模型。 。在现实的障碍空间中,此方法为预测两个移动物体的相遇可能性和最大可能的相遇位置提供了定量依据。最后,通过实验结果验证了模型的有效性。该模型使用武汉数字高程模型(DEM)数据的一部分来计算两个运动物体在其上的遭遇概率,并分析这些概率的时空分布特征。

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