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Author Park, Seula ♦ Bang, Yoonsik ♦ Yu, Kiyun
Source World Health Organization (WHO)-Global Index Medicus
Content type Text
Publisher Multidisciplinary Digital Publishing Institute
File Format HTM / HTML
Language English
Difficulty Level Medium
Subject Domain (in DDC) Computer science, information & general works ♦ Library & information sciences ♦ Natural sciences & mathematics ♦ Mathematics ♦ Life sciences; biology ♦ Physiology & related subjects ♦ Natural history of organisms ♦ Technology ♦ Medicine & health ♦ Human physiology ♦ Agriculture & related technologies
Subject Domain (in MeSH) Eukaryota ♦ Organisms ♦ Mathematical Concepts ♦ Biological Sciences ♦ Natural Science Disciplines ♦ Physical Sciences ♦ Technology, Industry, and Agriculture ♦ Technology and Food and Beverages ♦ Information Science ♦ Information Science ♦ Persons ♦ Persons ♦ Geographic Locations ♦ Geographic Locations
Subject Keyword Discipline Biotechnology ♦ Facility Design And Construction ♦ Pedestrians ♦ Transportation ♦ Vulnerable Populations ♦ Algorithms ♦ Geographic Information Systems ♦ Geography ♦ Humans ♦ Republic Of Korea ♦ Journal Article ♦ Research Support, Non-u.s. Gov't
Abstract Demand for a Pedestrian Navigation Service (PNS) is on the rise. To provide a PNS for the transportation of vulnerable people, more detailed information of pedestrian facilities and obstructions should be included in Pedestrian Network Data (PND) used for PNS. Such data can be constructed efficiently by collecting GPS trajectories and integrating them with the existing PND. However, these two kinds of data have geometric differences and topological inconsistencies that need to be addressed. In this paper, we provide a methodology for integrating pedestrian facilities and obstructions information with an existing PND. At first we extracted the significant points from user-collected GPS trajectory by identifying the geometric difference index and attributes of each point. Then the extracted points were used to make an initial solution of the matching between the trajectory and the PND. Two geometrical algorithms were proposed and applied to reduce two kinds of errors in the matching: on dual lines and on intersections. Using the final solution for the matching, we reconstructed the node/link structure of PND including the facilities and obstructions information. Finally, performance was assessed with a test site and 79.2% of the collected data were correctly integrated with the PND.
Spatial Coverage Republic of Korea
Description Author Affiliation: Park S ( Samsung SDS, 125 Olympic-ro 35-gil, Songpa-gu, Seoul 05510, Korea. seula9002@gmail.com.); Bang Y ( Department of Civil and Environmental Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea. bangys1004@snu.ac.kr.); Yu K ( Department of Civil and Environmental Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea. kiyun@snu.ac.kr.)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Reading ♦ Research ♦ Self Learning
Interactivity Type Expositive
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-09-23
Publisher Place Switzerland
e-ISSN 14248220
Journal Sensors
Volume Number 15
Issue Number 9


Source: WHO-Global Index Medicus