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http://dx.doi.org/10.11108/kagis.2022.25.1.001

A Study on the Field Management System for Traffic Safety Facilities in IoT Infrastructure  

WON, Sang-Yeon (GEON Co., Ltd.)
LEE, Jun-Hyuk (GEON Co., Ltd.)
JEON, Young-Jae (GEON Co., Ltd.)
KIM, Jin-Tae (Korea National University of Transportation Smart Traffic Research Lab)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.25, no.1, 2022 , pp. 1-15 More about this Journal
Abstract
In order to trust and use autonomous vehicles, safe driving on the road must be guaranteed. For this, the first infrastructure to be equipped with autonomous driving is traffic safety facility. On the other hand, autonomous vehicles(Level 3) and general vehicles are driving on the road, it is necessary to additionally manage existing general traffic safety facilities. In this study, a field management system for traffic safety facilities based on autonomous driving infrastructure was studied, and a pilot field management system was implemented in the demonstration area(Pangyo). The pilot system consists of a GNSS(Global Navigation Satellite System) receiver, a field management equipment, and a field management app. As a result of field demonstration,, it was confirmed that traffic safety facility information was easily transmitted and received even in downtown areas and that could be efficiently operated and managed. It is expected that the results of this study will be used as reference materials for the spread of autonomous driving infrastructure to local governments and infrastructure construction in the future.
Keywords
Autonomous infrastructure; Traffic safety facility; Field management; GNSS receiver;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 Im, I.J and Y.M. Kim. 2020. A study on social perception on the regulatory information service diffusion of traffic facilities. The Journal of The Korea Institute of Intelligent Transportation Systems 19(2): 1-17.
2 Kim, S.K. 2012. Establishing a dynamic national geodetic reference frame considering discontinuity of crustal movement. Master's thesis, Sejong University, Seoul, Korea, 160p.
3 Kim, Y.K., G.O. Kim, Y.J. Moon and S.B. Jo. 2020. Research on the basic direction of establishing an autonomous driving complex. Korea Transportation Research Institute. 7pp.
4 Kim, H.J. 2020. Pangyo zero city autonomous driving demonstration complex operation cases and current affairs. Korea Research Institute for Human Settlements. 43pp.
5 Lee, J.O., B.Y. Yun, C.Y. Park and H.W. Choi. 2014. Positioning accuracy analysis according to the change of blockage location and GNSS signal combination. Journal of the Korean Society for Geospatial Information System 22(3):39-46.   DOI
6 Baek, J.G. 2020. Self-driving car development status at home and abroad. KDB Future Strategy Research Center Industrial Technology Research Center. 30pp.
7 Choi, W.S and H.H. Yoo. 2011. Accuracy analysis of cadastral supplementary control points by using virtual reference station-real time kinematic GPS surveying - Focused on Geoje city -. Journal of the Korean Society for Geospatial Information System 19(4):65-70.   DOI
8 Gwak, I.S., D.H. Nam and J.H. Kwon. 2010. A study on utilization of NTRIP data delivery and virtual RINEX from Seoul metro government Network-RTK system. Journal of Korea Spatial Information Society. 18(5):1-11.
9 Global Tech Korea. 2017. Self-driving cars in Europe technology and policy trends. Global Tech Korea. 26pp.
10 Joo, Y.E. 2012. Automatic recognition and efficient update of road and traffic facility DB classification system development. Small and Medium Business Administration, pp.5-7.
11 Kim, J.T and Y.B. Cho. 2020. Study on walk- friendly traffic signal operation for pedestrian oriented urban highways. Journal of the Korean society of road engineers 22(3):103-112.
12 Kotra overseas market news. 2020. First approval for level 3 autonomous driving in Japan. https://news.kotra.or.kr/user/globalBbs/kotranews/3/globalBbsDataView.do?setIdx=242&dataIdx=185879. (Accessed November 01, 2021).
13 Wubbena, G., A. Bagge and M, Schmitz. 2001. Network based techniques for RTK applications. Proceedings of the Japan Insitute of Navigation, GPS Symposium, 14-16 November, Tokyo, pp.53-65.
14 Speciality Construction News. 2021. Map update required with precision for autonomous vehicles. http://www.kscnews.co.kr/news/articleView.html?idxno=21533. (Accessed November 03, 2021).
15 Won, S.Y., J.W. Moon, S.W. Yoon and Y.S. Choi. 2019. The future direction of HD map industry development plan and governance. Journal of the Korean Association of Geographic Information Studies 22(3): 120-132.   DOI
16 Seol, J.H., W.J. Lee, Y.S. Choi and I.H. Jeong. 2019. A study on the renewal system of domestic high definition maps. Journal of the Korean Association of Geographic Information Studies 22(3): 133-145.   DOI
17 Won, S.Y., Y.J. Jeon, H.W. Jeong and C.O. Kwon. 2020. A comparison of Korea standard HD map for actual driving support of autonomous vehicles and analysis of application layers. Journal of the Korean Association of Geographic Information Studies 23(3): 1-20.   DOI
18 Lee, S.B. 2013. Accuracy evaluation of the height determined by Network-RTK VRS positioning. Journal of the Korean Society for Geospatial Information System 21(4): 55-63.   DOI