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GRAPH MODEL-BASED TRAFFIC INFORMATION PREDICTING METHOD, APPARATUS THEREOF, AND COMPUTER PROGRAM

机译:基于图形模型的交通信息预测方法,装置及其计算机程序

摘要

Provided is a graph model-based traffic information predicting method, comprising a node corresponding to an intersection and a plurality of links corresponding to a plurality of roads connected to the intersection. The method comprises the steps of: collecting speeds of a plurality of non-shading links connected to non-shading nodes corresponding to a speed collection section; calculating the density of the non-shading node based on the speed of the plurality of non-shading links, interpolating the density of a shading node corresponding to a speed non-collection section from the density of the non-shading node, and deriving the speed of a plurality of shading links connected to the shading node from the density of the shading node; generating a graph model based on the speed of the non-shading link and the speed of the shading link; and inputting the graph model into a speed prediction model and predicting the specific future speed of the plurality of links.;COPYRIGHT KIPO 2020
机译:提供了一种基于图模型的交通信息预测方法,包括:对应于交叉口的节点和对应于连接至所述交叉口的多条道路的多个路段。该方法包括以下步骤:收集与速度收集部分相对应的连接到非着色节点的多个非着色链接的速度;以及基于所述多个非阴影链路的速度,计算所述非阴影节点的密度,从所述非阴影节点的密度内插对应于速度非采集段的阴影节点的密度,并推导从阴影节点的密度来看,连接到阴影节点的多个阴影链接的速度;根据非阴影链接的速度和阴影链接的速度,生成图形模型;并将图模型输入到速度预测模型中,并预测多个链接的特定未来速度。; COPYRIGHT KIPO 2020

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