Browse > Article
http://dx.doi.org/10.12815/kits.2019.18.6.124

A Study on the Coordinate-based Intersection ID Composition System Using Space Filling Curves  

Lee, Eun il (Dept. of Geoinfomatic Eng., Univ. of Inha)
Park, Soo hong (Dept. of Geoinfomatic Eng., Univ. of Inha)
Kim, Duck ho (Dept. of Geoinfomatic Eng., Univ. of Inha)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.18, no.6, 2019 , pp. 124-136 More about this Journal
Abstract
Autonomous driving at intersections requires assistance by exchanging traffic information between traffic objects due to the intersection of various vehicles and complicated driving environment. For this reason, traffic information exchange between adjacent intersections is required, but the node ID representing the intersection in the Korean standard node link system have limitations in updating intersections and identifying location information of intersections through IDs due to the configuration system including serial numbers. In this paper, we designed a coordinate-based intersection ID configuration system created by processing and merging two-dimensional coordinates of intersections to include location information in the intersection ID. In order to verify the applicability of the proposed intersection ID, we applied a new intersection ID to domestic intersections and confirmed that there are no duplicate values. Coordinate-based intersection ID reduces data size by 60% compared to existing node ID, and enables spatial queries such as searching for nearby intersections and extracting intersections in specific areas in the form of boxes without GIS tools. Therefore, coordinate-based intersection ID is expected to be more scalable and utilized than existing node ID.
Keywords
Intersection; C-ITS; Road map; Korean standard Node-Link; ID;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Ali A. and Ladhake S. A.(2011), "Overview of space-filling curves and their applications in scheduling," International Journal of Advances in Engineering & Technology, vol. 1, Iss. 4, pp.148-154.
2 English OS OpenData, https://www.ordnancesurvey.co.uk/opendatadownload/, 2019.08.09.
3 Ground Transportation Subcommittee, Federal Geographic Data Committee(2000), NSDI Framework transportation Identification Standard - Public Review Draft.
4 Holzmuller D.(2017), Efficient Neighbor-Finding on Space-Filling Curves, Stuttgart Univ., arXiv:1710.06384v2.
5 International Organization for Standard(2018), ISO/AWI TS 22726-1 Intelligent transport systems - Dynamic data and map database specification for connected and automated driving system applications - Part 1: Architecture and logical data model for harmonization ofstatic map data, pp.10-32.
6 International Organization for Standard(2019), ISO DIS 20524 Intelligent transport systems - Geographic Data Files(GDF)-GDF5.1, pp.30-45.
7 Jang Y. G., Lee W. S. and Kim H. S.(2008), "Management Plan of Urban Object Identification through Status-Analysis of Exiting Object Management Code," The Journal of GIS Association of Korea, vol. 16, no. 1, pp.51-64.
8 Ministry of Land, Infrastructure and Transport(2013), Guideline of Buildup, Management of ITS Korea Standard Node.Link.
9 Ministry of Land, Infrastructure and Transport(2013), Standard of Buildup of ITS Korea Standard Node.Link.
10 Ministry of Land, Infrastructure and Transport(2018), Act on the Establishment, Management, ETC. of Spatial Data.
11 Ministry of Land, Infrastructure and Transport(2019), Enforcement Decree of the Act on the Establishment, Management, ETC. of Spatial Data.
12 Society of Automotive Engineers of Japan(2016), ITS Standardization Activities in Japan, pp.11-14.
13 Yu K. B., Kwon Y. W., Choi J. M., Rhew H. S., Nam S. J., Lee H. A. and Hong Y. I.(2011), "Naming and Grading Methods for Crossroads linked to the New Address System," Journal of the Korean Geographical Society, vol. 46, no. 5, pp.648-661.