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基于自发地理信息的人行道路信息提取 被引量:1

Pedestrian Road Information Extraction Based on Volunteered Geographic Information
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摘要 人类的行为轨迹可快速提取到车辆难以通行的人行道路以及人行道路设施等信息,这些信息是行人LBS的关键性元素,它的完备性程度决定了行人LBS服务质量的高低。本文使用志愿者数据集与百度地图,研究了一整套基于VGI数据的人行道路信息提取方法。通过轨迹数据清洗、道路几何路网提取、人行道路设施的检测与识别3个主要板块实现了人行道路信息的提取。算法在完成道路几何路网信息提取的同时,实现了人行横道、过街天桥、地下通道等道路设施信息的获取。 People can quickly extract the information of roads and pedestrian road facilities that vehicles can hardly go through according to the trajectory of human.Pedestrian road information is the key of pedestrian LBS,and its completeness determines the quality of pedestrian LBS service.Therefore,this paper uses a volunteer data set and Baidu map to develop a set of pedestrian road information extraction methods based on pedestrian GPS trajectory.The method realizes the extraction of human road information through three main sections:track data cleaning analysis,the extraction and analysis of road network updating,pedestrian road facilities detection and recognition analysis.When the road network information are extracted,the information of road facilities,such as pedestrian crossings,overpasses and underground passages can be obtained to update the electronic map.
作者 谢雪景 欧国健 周艺 XIE Xuejing;OU Guojian;ZHOU Yi(Chongqing College of Electronic Engineering,Chongqing 401331,China)
出处 《地理信息世界》 2019年第1期92-98,共7页 Geomatics World
基金 重庆市教育委员会基金项目(KJ1602909)资助
关键词 自发地理信息 行人LBS 人行设施 数据清洗 轨迹聚类 VGI pedestrian LBS pedestrian road facilities data cleaning trajectory clustering
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