[논문]IoT 기반 교통안전시설 현장관리 체계 연구

원상연; 이준혁; 전영재; 김진태

doi:10.11108/kagis.2022.25.1.001

IoT 기반 교통안전시설 현장관리 체계 연구
A Study on the Field Management System for Traffic Safety Facilities in IoT Infrastructure 원문보기

한국지리정보학회지 = Journal of the Korean Association of Geographic Information Studies, v.25 no.1, 2022년, pp.1 - 15

원상연 ((주)지오앤 기업부설연구소) , 이준혁 ((주)지오앤 기업부설연구소) , 전영재 ((주)지오앤 기업부설연구소) , 김진태 (한국교통대학교 교통대학원 교통시스템공학과)

초록
AI-Helper

자율주행차를 신뢰하고 이용하기 위해서는 도로에서의 안전한 주행이 보장되어야 한다. 이를 위해 최우선으로 갖추어야 할 자율주행 인프라는 교통안전시설이다. 한편 도로에서는 Level 3 수준의 자율주행차와 일반 자동차가 혼재하여 주행하고 있기 때문에 기존에 존재하고 있는 일반 교통안전시설의 관리도 추가로 필요하다. 따라서 본 연구에서는 자율주행 인프라 기반 교통안전시설 현장관리 체계를 연구하고, 이를 기반으로 실증지역(판교)를 선정하여(판교) 현장관리 시험시스템을 구현하였다. 시험시스템 구성은 GNSS(Global Navigation Satellite System) 수신기, 현장관리 단말기, 현장관리 App(Application) 등으로 구성하였으며, 현장 실증 결과 도심지에서도 손쉽게 교통안전시설 정보를 송수신하였고, 교통안전시설에 대하여 효율적으로 운영관리 할 수 있음을 확인하였다. 금번 연구결과는 향후 자율주행 인프라의 지자체 확산 및 인프라 구축에 참고자료로 활용될 것으로 기대한다.

Abstract ▼ AI-Helper

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.

주제어

표/그림 (20)

그림 FIGURE 1. Studies of domestic and overse asautonomous driving
그림 FIGURE 2. Process of traffic safety facility DB construction
그림 FIGURE 3. Flowchart of research process
그림 FIGURE 4. Definition of traffic safety facility
그림 FIGURE 5. Existing traffic safety facilities and IoT traffic safety facilities (Pangyo field photo)
표 TABLE 1. Traffic safety facility entity definition
그림 FIGURE 6. Definition of on-site management system for traffic safety facilities
그림 FIGURE 7. Data flow definition
그림 FIGURE 8. NTRIP(Network Transport of RTCM via Internet Protocol) sending and receiving information process
그림 FIGURE 9. GNSS receiver design
그림 FIGURE 10. SW(Soft Ware) interface and function process(The Source of Kakao Map)
표 TABLE 2. Equipment HW/SW components(The source of map Kakao)
그림 FIGURE 11. Indoor demonstration scenario
그림 FIGURE 12. Selection of demonstration area and demonstration test(The source of map NGII)
표 TABLE 3. Detailed role in indoor demonstration scenario
표 TABLE 4. Elements of event occurrence by scenario
표 TABLE 5. Result of indoor demonstration test
그림 FIGURE 13. Transmission/reception test using field survey application(The source of map Kakao and Field Investigation App capture)
표 TABLE 6. Results of demonstration test
표 TABLE 7. Features of GNSS positioning method

참고문헌 (18)

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상세보기
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