基于DDGP3的智能优先公园框架

W. Balzano, Vinicio Barbieri, Giovanni Riccardi
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引用次数: 4

摘要

本文提出了一种多层车库停车位置检测算法。本研究基于为每个用户设置不同的优先级,因此算法的结果会根据用户的优先级(残疾人,警察等)而有所不同。使用条件与非常拥挤的停车场有关,因此个人用户将收到自定义地图,根据分配给他们的优先级显示位置。为了实现这一目标,我们将使用车载单元(OBUs)和路侧单元(rsu)来构建所有传感器之间的距离矩阵,但在VANET(车辆自组织网络)内部,信息不是为所有用户漠不关心地交换,而是根据优先级进行适当的过滤和排序。这样一来,每个人都只会看到他们可以停车的地方,而其他地方则会被遮挡。在求解地图上的位置计算算法时,我们将求解一个距离几何问题,然而,为了定位停车位置,我们使用DGP(距离几何问题)算法,将其从连续简化为离散,将其简化为DDGP3(离散距离几何问题在R3中),然后用分支和修剪算法求解。我们采用线性逼近的方法来求解三个球体之间的相交问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Priority Park Framework Based on DDGP3
This paper provide an algorithm for detecting a place to park inside a multi-level garage. The study is based on setting a different priority for each user, so the results of algorithm will vary depending on the user's priority (disabled people, police, etc.). The conditions of use are related to very crowded parking, so individual users will receive custom maps where the places will appear according to the priorities assigned to them. To achieve this objective, we shall use On Board Units (OBUs) and Road Side Units (RSUs) to build the distance matrix among all the sensors, but inside the VANET (Vehicular Ad Hoc Networks) the information is not exchanged indifferently for all users, but is suitably filtered and sorted by priority. In this way everyone will see only the places where they can park while others will be obscured. In the solution of the algorithm for calculating positions on the map we shall solve a Distance Geometry Problem, however, to locate the parking positions we use the DGP (Distance Geometry Problem) algorithm with the simplifications from continuous to discrete, reducing it to a DDGP3 (Discretizable Distance Geometry Problem in R3), and then solving it with a branch and pruning algorithm. We adopt a linear approximation techniques to resolve an intersection problem among three spheres.
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