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Virtual running model for locating road intersections using GPS trajectory data

Published: 05 January 2017 Publication History

Abstract

Map construction from vehicle trajectories has been an active challenge topic due to the progress of positioning technologies and high cost of map constructions since last decades. In our work, we focus on road network generation from a massive GPS data collected from a large number of vehicles, particularly the detection of intersections which provide the connectivity information of road network. Among several methods to detect intersections, image processing, observing the distribution of GPS points, and finding the behavioral characteristics of trajectories have been widely studied. However, actual roads are in three-dimensional space and there are overpass or underpass roads that can be falsely detected as intersections. In order to solve this problem, we extend our previous algorithm, Virtual Run [16] to the Bidirectional Virtual Run algorithm to detect the split point among roads. Moreover, by reversing the Virtual Run algorithm, this new algorithm can find the joining point of roads. For the evaluation, we used about 2000 actual vehicle trajectories gathered up with taxies in three metropolitan cities - Seoul, Pusan, and Sungnam in Korea.

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Cited By

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  • (2021)Intelligent Extraction Method of Inertial Navigation Trajectory Behavior Features Considering Road EnvironmentSpatial Data and Intelligence10.1007/978-3-030-85462-1_4(43-56)Online publication date: 22-Apr-2021
  • (2020)A Multi-Hop Data Dissemination Algorithm for Vehicular CommunicationComputers10.3390/computers90200259:2(25)Online publication date: 31-Mar-2020

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    cover image ACM Conferences
    IMCOM '17: Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication
    January 2017
    746 pages
    ISBN:9781450348881
    DOI:10.1145/3022227
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 05 January 2017

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    Author Tags

    1. GPS
    2. intersection detection
    3. map generation
    4. trajectory analysis

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    • Basic Research Laboratory through the National Research Foundations of Korea

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    IMCOM '17 Paper Acceptance Rate 113 of 366 submissions, 31%;
    Overall Acceptance Rate 213 of 621 submissions, 34%

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    View all
    • (2021)Intelligent Extraction Method of Inertial Navigation Trajectory Behavior Features Considering Road EnvironmentSpatial Data and Intelligence10.1007/978-3-030-85462-1_4(43-56)Online publication date: 22-Apr-2021
    • (2020)A Multi-Hop Data Dissemination Algorithm for Vehicular CommunicationComputers10.3390/computers90200259:2(25)Online publication date: 31-Mar-2020

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