• Title/Summary/Keyword: 도로인프라 모니터링

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A Methodology on System Implementation for Road Monitoring and Management Based on Automated Driving Hazard Levels (위험도 기반 도로 모니터링 및 관리 시스템 구축 방안)

  • Kyuok Kim;Sang Soo Lee;SunA Cho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.6
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    • pp.299-310
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    • 2022
  • The ability of an automated driving system is based on vehicle sensors, judgment and control algorithms, etc. The safety of automated driving system is highly related to the operational status of the road network and compliant road infrastructure. The safe operation of automated driving necessitates continuous monitoring to determine if the road and traffic conditions are suitable and safe. This paper presents a node and link system to build a road monitoring system by considering the ODD(Operational Design Domain) characteristics. Considering scalability, the design is based on the existing ITS standard node-link system, and a method for expressing the monitoring target as a node and a link is presented. We further present a technique to classify and manage hazard risk into five levels, and a method to utilize node and link information when searching for and controlling the optimal route. Furthermore, we introduce an example of system implementation based on the proposed node and link system for Sejong City.

An Optimal Route Algorithm for Automated Vehicle in Monitoring Road Infrastructure (도로 인프라 모니터링을 위한 자율주행 차량 최적경로 알고리즘)

  • Kyuok Kim;SunA Cho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.1
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    • pp.265-275
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    • 2023
  • The purpose of this paper is to devise an optimal route allocation algorithm for automated vehicle(AV) in monitoring quality of road infrastructure to support the road safety. The tasks of an AV in this paper include visiting node-links at least once during its operation and checking status of road infrastructure, and coming back to its depot.. In selecting optimal route, its priority goal is visiting the node-links with higher risks while reducing costs caused by operation. To deal with the problem, authors devised reward maximizing algorithm for AVs. To check its validity, the authors developed simple toy network that mimic node-link networks and assigned costs and rewards for each node-link. With the toy network, the reward maximizing algorithm worked well as it visited the node-link with higher risks earlier then chinese postman route algorithm (Eiselt, Gendreau, Laporte, 1995). For further research, the reward maximizing algorithm should be tested its validity in a more complex network that mimic the real-life.

A Study on the Method for Managing Hazard Factors to Support Operation of Automated Driving Vehicles on Road Infrastructure (자율주행시스템 운행지원을 위한 도로 인프라 측면의 위험 요소 관리 방안)

  • Kim, Kyuok;Choi, Jung Min;Cho, Sun A
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.2
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    • pp.62-73
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    • 2022
  • As the competition among the autonomous vehicle (AV, here after) developers are getting fierce, Korean government has been supporting developers by deregulating safety standards and providing financial subsidies. Recently, some OEMs announced their plans to market Lv3 and Lv4 automated driving systems. However, these market changes raised concern among public road management sectors for monitoring road conditions and alleviating hazardous conditions for AVs and human drivers. In this regards, the authors proposed a methodology for monitoring road infrastructure to identify hazardous factors for AVs and categorizing the hazards based on their level of impact. To evaluate the degrees of the harm on AVs, the authors suggested a methodology for managing road hazard factors based on vehicle performance features including vehicle body, sensors, and algorithms. Furthermore, they proposed a method providing AVs and road management authorities with potential risk information on road by delivering them on the monitoring map with node and link structure.

Artificial Intelligence Based LOS Determination for the Cyclists-Pedestrians Mixed Road Using Mobile Mapping System (인공지능 기반 MMS를 활용한 자전거보행자겸용도로 서비스 수준 산정)

  • Tae-Young Lee;Myung-Sik Do
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.3
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    • pp.62-72
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    • 2023
  • Recently, the importance of monitoring and management measures for bicycle road related facilities has been increasing. However, research on the monitoring and evaluation of users' safety and convenience in walking spaces including bicycle path is insufficient. In this study, we would like to construct health monitoring data for cylists-pedestrians mixed road using a mobile mapping system, and propose a plan to calculate the level of service of the mixed roads from the perspective of pedestrians and cyclists using artificial intelligence based object detection techniques. The monitoring and level of service calculation method of cylists-pedestrians mixed roads proposed in this study is expected to be used as basic information for planning and management such as maintenance and reconstruction of walking spaces in preparation for the increase of electric bicycles and personal mobility in the future.

Location Tracking and Visualization of Dynamic Objects using CCTV Images (CCTV 영상을 활용한 동적 객체의 위치 추적 및 시각화 방안)

  • Park, Sang-Jin;Cho, Kuk;Im, Junhyuck;Kim, Minchan
    • Journal of Cadastre & Land InformatiX
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    • v.51 no.1
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    • pp.53-65
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    • 2021
  • C-ITS(Cooperative Intelligent Transport System) that pursues traffic safety and convenience uses various sensors to generate traffic information. Therefore, it is necessary to improve the sensor-related technology to increase the efficiency and reliability of the traffic information. Recently, the role of CCTV in collecting video information has become more important due to advances in AI(Artificial Intelligence) technology. In this study, we propose to identify and track dynamic objects(vehicles, people, etc.) in CCTV images, and to analyze and provide information about them in various environments. To this end, we conducted identification and tracking of dynamic objects using the Yolov4 and Deepsort algorithms, establishment of real-time multi-user support servers based on Kafka, defining transformation matrices between images and spatial coordinate systems, and map-based dynamic object visualization. In addition, a positional consistency evaluation was performed to confirm its usefulness. Through the proposed scheme, we confirmed that CCTVs can serve as important sensors to provide relevant information by analyzing road conditions in real time in terms of road infrastructure beyond a simple monitoring role.

Development of Traffic Safety Monitoring Technique by Detection and Analysis of Hazardous Driving Events in V2X Environment (V2X 환경에서 위험운전이벤트 검지 및 분석을 통한 교통안전 모니터링기법 개발)

  • Jeong, Eunbi;Oh, Cheol;Kang, Kyeongpyo;Kang, Younsoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.11 no.6
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    • pp.1-14
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    • 2012
  • Traffic management centers (TMC) collect real-time traffic data from the field and have powerful databases for analysing, recording, and archiving the data. Recent advanced sensor and communication technologies have been widely applied to intelligent transportation systems (ITS). Regarding sensors, various in-vehicle sensors, in addition to global positioning system (GPS) receiver, are capable of providing high resolution data representing vehicle maneuverings. Regarding communication technologies, advanced wireless communication technologies including vehicle-to-vehicle (V2V) and vehicle-to-vehicle infrastructure (V2I), which are generally referred to as V2X, have been widely used for traffic information and operations (references). The V2X environment considers the transportation system as a network in which each element, such as the vehicles, infrastructure, and drivers, communicates and reacts systematically to acquire information without any time and/or place restrictions. This study is motivated by needs of exploiting aforementioned cutting-edge technologies for developing smarter transportation services. The proposed system has been implemented in the field and discussed in this study. The proposed system is expected to be used effectively to support the development of various traffic information control strategies for the purpose of enhancing traffic safety on highways.

An USN Test Bed Construction for Real Time Monitoring of Road Environment Information (실시간 도로 환경 정보 모니터링을 위한 USN 테스트베드 구축)

  • Kang, Jin-A;Kim, Tae-Hoon;Bae, Myung-Nam;Na, Joon-Yeop;Hong, Chang-Hee
    • Journal of the Korean Association of Geographic Information Studies
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    • v.16 no.3
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    • pp.180-192
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    • 2013
  • Recently, the development of the information-communications industry has created a new paradigm of the ubiquitous and the smart environments. An USN is a typical technology for constructing a ubiquitous environments. But the USN technologies applied in practice have a lot of problems and to solve these problems that this study was to build a test bed. For the creation of the needs of USN technology, we suggest a method and service of monitoring of road hazards combining the USN and the Geographic Information System(GIS). We conduct making the USN equipment relevant provisions surveys, making installation guidelines, construction system and real-time testing. This study is capable of the management of public facilities, real-time monitoring of accident and the environment data and is expected to be expanded to a 3D facility management combineded with BIM in the future.

A Study on the Integrated Security Monitoring & Control in Financial Investment Industry Computer Networks (금융투자업계 전산망의 통합보안관제에 관한 연구)

  • Jung, Eui-Yeon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.11a
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    • pp.857-860
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    • 2012
  • 본 논문은 금융투자업계에 대한 보안관제 정책을 기준으로 업계가 공동이용 가능한 통합보안관제시스템이 구축 가능하도록 금융투자회사들이 구축 운용하고 있는 보안인프라를 비롯한 전산망의 보안관제를 위한 적용 기술과 운용체계 등을 조사하고, 이를 토대로 외부로부터 공격에 대비한 모니터링, 침입탐지 및 실시간 방어 등의 기능이 적절하게 수행되고 업계 차원의 종합적이고 체계적인 관리가 가능한 통합보안관제시스템 모델과 운영방안을 제시하고자 한다.

Design of Highway Accident Detection and Alarm System Based on Internet of Things Guard Rail (IoT 가드레일 기반의 고속도로 사고감지 및 경보 시스템 설계)

  • Oh, Am-Suk
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.12
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    • pp.1500-1505
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    • 2019
  • Currently, as part of the ICT Smart City, the company is building C-ITS(Cooperative-Intelligent Transport Systems) for solving urban traffic problems. In order to realize autonomous driving service with C-ITS, the role of advanced road infrastructure is important. In addition to the study of mid- to long-term C-ITS and autonomous driving services, it is necessary to present more realistic solutions for road traffic safety in the short term. Therefore, in this paper, we propose a highway accident detection alarm system that can detect and analyze traffic flow and risk information, which are essential information of C-ITS, based on IoT guard rail and provide immediate alarm and remote control. Intelligent IoT guard rail is expected to be used as an intelligent advanced road infrastructure that provides data at actual road sites that are required by C-ITS and self-driving services in the long term.

A Method for Extracting Vehicle Speed Using Aerial Images (항공영상을 이용한 차량속도 추출 방법)

  • Hwang, Jung-Rae;Kang, Hye-Young;Choi, Hyun-Sang
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.30 no.1
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    • pp.11-19
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    • 2012
  • Due to existing infrastructure to collect traffic information was constructed to expressway and national highway, we cannot precisely know traffic situation for their surrounding area. Therefore, it is difficult to provide reliable traffic information to users using navigation and smartphone. In this research, we collected aerial images by using unmanned airship capable of wide-area monitoring and proposed a method extracting vehicle speed from the collected data. And, we performed experiments to verify the accuracy of extracted vehicle speed. Our method proposed in this research can be used to extract a new approach of traffic information according to increased demand of traffic monitoring. We expect that our method will become a new research trend in traffic information application.