• Title/Summary/Keyword: 자율주행 모빌리티

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Design of Hybrid V2X Communication Platform for Evaluation of Commercial Vehicle Autonomous Driving and Platooning (상용차 자율 군집 주행 평가를 위한 하이브리드 V2X 통신 플랫폼 설계)

  • Jin, Seong-keun;Jung, Han-gyun;Kwak, Jae-min
    • Journal of Advanced Navigation Technology
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    • v.24 no.6
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    • pp.521-526
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    • 2020
  • In this paper, we propose a design method and process for hybrid V2X communication platform that combines WAVE communication and LTE-V2X communication which are C-ITS communication protocols for vehicle environments and Legacy LTE communication which is a commercial mobile communication for evaluating the autonomous platooning platform of commercial vehicles. For a safe and efficient autonomous platooning platform, an low-latency communication function based on C-ITS communication is required, and to control it, commercial communication functions such as Legacy LTE, which can be connected at all times, are required. In order to evaluate such a system, the evaluation equipment must have the same level of communication performance or higher. The main design contents presented in this paper will be applied to the implementation of hybrid V2X terminals for functional evaluation.

유럽의 5G 기반 협력 커넥티드 자율주행 기술 개발 현황

  • Choe, Yu-Jun
    • Broadcasting and Media Magazine
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    • v.24 no.1
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    • pp.41-48
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    • 2019
  • 최근 유럽 위원회(European Commission)의 ICT 분야 연구에 대한 목표는 사이버 보안, 사생활 보호, 5G, 사물의 인터넷, 데이터 경제, 자유로운 데이터의 흐름(free flow of data) 등과 같은 디지털 정책 분야에 미래 EU(European Union) 자율주행 프로젝트의 초점을 맞추는 것이다. 이를 위하여 2017년과 2018년, 10개의 디지털 국경 커리도(Digital Cross-Border Corridors)가 발표되었고, 5G 기반 CCAM 서비스 실증을 확립하였다. 유럽 위원회는 이러한 5G 기반 CCAM 서비스 실증의 일환으로 2018년 3개의 대규모 프로젝트(5G-MOBIX, 5G-CARMEN, 5GCroCo)를 선정하였다. 본 기고문에서는 2018년 유럽 위원회에서 선정한 3개의 5G 기반 CCAM 프로젝트에 대하여 설명한다.

Smart City Mobility and Road Innovation: A Study of Complete Street Adoption and Consideration Factors using the Delphi Method (스마트시티 모빌리티와 도로혁신: 델파이 기법을 활용한 완전도로 도입 및 고려 요인에 관한 연구)

  • Dong-Geon Kim;Se-Yeon Cheon;Ju-Young Kang
    • The Journal of Bigdata
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    • v.8 no.2
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    • pp.233-248
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    • 2023
  • In the process of building the future of smart cities, innovation in mobility and road infrastructure is one of the most important topics. In particular, with the proliferation of autonomous vehicles and various types of mobility on the road, such as electric bicycles, electric kickboards, and electric wheels, roads have a variety of actors to accommodate, including traditional cars and pedestrians, and conflicts between them need to be resolved. Complete streets, a term coined in the United States in 2003, refers to the design and operation of roads that consider the equitable safety and convenience of all road users, including pedestrians, bicyclists, public transportation users, personal mobility (PM) users, and automobile drivers. Currently, many cities overseas are implementing complete streets, and research is being actively conducted to institutionalize them. However, there is a lack of research and discussion on complete streets in Korea. Therefore, this study aims to formalize the main factors to be considered in the design of complete streets by collecting and analyzing the opinions of academic and practitioner experts through the Delphi method. A total of three Delphi surveys were conducted, collecting free responses from experts through the first open-ended survey and organizing them into keywords to create the second and third closed-ended surveys. The second and third rounds of the survey consisted of a total of 52 questions, and 34 items out of 52 were selected as the final factors.

Analysis of Low-power-based Communication Technology to Build a Mobility Connected System (모빌리티 커넥티드 시스템 구축을 위한 저전력 기반 통신 기술 분석)

  • Sung-goo Yoo;Ju-yeon Lee
    • Journal of the Institute of Convergence Signal Processing
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    • v.25 no.1
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    • pp.33-38
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    • 2024
  • The importance of connected technology that connects products or systems is increasing. Connected technology is a concept that can communicate with surrounding objects and connect to each other through a network to operate as one system. In particular, it can be implemented using wireless communication, and various conditions are required depending on the application system, such as communication distance and speed. In this study, we analyzed trends in communication technology for the implementation of connectivity between mobility devices such as self-driving cars, drones, UAVs, and shared mobility devices. The communication distance, speed, wired and wireless status, etc. of the latest communication methods currently commercialized or under development were investigated, with a particular focus on low-power operation. We identified the element technologies needed to build a low-power long-distance communication (LPWAN) system, and initially developed a plan for constructing a connected drone. The analysis results showed that it was possible to implement a connected system using the LoRa system, and an example configuration method was presented.

Zero Accident, Connected Autonomous Driving Vehicle (사고제로, 커넥티드 자율이동체)

  • Choi, J.D.;Min, K.W.;Kim, J.H.;Seo, B.S.;Kim, D.H.;Yoo, D.S.;Cho, J.I.
    • Electronics and Telecommunications Trends
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    • v.36 no.1
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    • pp.22-31
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    • 2021
  • In this thesis, we examine the development status of autonomous mobility services using various artificial intelligence algorithms and propose a solution by combining edge and cloud computing to overcome technical difficulties. A fully autonomous vehicle with enhanced safety and ethics can be implemented using the proposed solution. In addition, for the future of 2035, we present a new concept that enables two- and three-dimensional movement via cooperation between ecofriendly, low-noise, and modular fully autonomous vehicles. The zero-error autonomous driving system will safely and conveniently transport people, goods, and services without time and space constraints and contribute to the autonomous mobility services that are free from movement in connection with various mobility.

GPS Driving and Ultrasonic Sensors Evasive Maneuvering Drone System (GPS 주행 및 초음파센서 회피기동 드론 시스템)

  • Kim, Se-Hun;Jeong, Ju-Young;Park, Min-Ho;Cho, Hee-Je;Kwon, Gi-Hwan;Jung, Soon-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.308-311
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    • 2020
  • 최근 드론 규제를 완화하겠다는 정부의 발표로 앞으로 여러 분야에서 드론이 상용화되어 이용될 것으로 예상되지만, 자율비행에 있어서 장애물을 회피하는 문제가 상용화의 걸림돌로 남아있다. 이에 본 논문에서는 GPS 기반으로 드론을 직접 제작하고, 초음파 센서를 활용하는 회피기동을 구현하여 비교적 저렴한 가격으로 자율비행 드론 시스템을 설계하여 앞으로 나오게 될 스마트 모빌리티 제품군들의 상용화에 기여할 수 있기를 기대한다.

Tour-based Personalized Trip Analysis and Calibration Method for Activity-based Traffic Demand Modelling (활동기반 교통수요 모델링을 위한 투어기반 통행분석 및 보정방안)

  • Yegi Yoo;Heechan Kang;Seungmo Yoo;Taeho Oh
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.6
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    • pp.32-48
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    • 2023
  • Autonomous driving technology is shaping the future of personalized travel, encouraging personalized travel, and traffic impact could be influenced by individualized travel behavior during the transition of driving entity from human to machine. In order to evaluate traffic impact, it is necessary to estimate the total number of trips based on an understanding of individual travel characteristics. The Activity-based model(ABM), which allows for the reflection of individual travel characteristics, deals with all travel sequences of an individual. Understanding the relationship between travel and travel must be important for assessing traffic impact using ABM. However, the ABM has a limitation in the data hunger model. It is difficult to adjust in the actual demand forecasting. Therefore, we utilized a Tour-based model that can explain the relationship between travels based on household travel survey data instead. After that, vehicle registration and population data were used for correction. The result showed that, compared to the KTDB one, the traffic generation exhibited a 13% increase in total trips and approximately 9% reduction in working trips, valid within an acceptable margin of error. As a result, it can be used as a generation correction method based on Tour, which can reflect individual travel characteristics, prior to building an activity-based model to predict demand due to the introduction of autonomous vehicles in terms of road operation, which is the ultimate goal of this study.

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.

Analysis of Impact on Mixed Traffic Flow with Automated Vehicle Using Meta-analysis: Focusing on Uninterrupted Road (메타분석을 이용한 자율주행자동차 혼재교통류 영향 분석에 관한 연구: 연속류 도로를 중심으로)

  • Harim Jeong;Minkyoung Cho;Ilsoo Yun;Sangmin Park
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.6
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    • pp.77-91
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    • 2023
  • Recently, there has been a worldwide increase in research and development on automated vehicles for commercialization. It is expected that the use of level 3 autonomous vehicles on continuous-flow roads will be introduced and will increase. Consequently, various studies have been conducted to investigate the impact of mixed traffic flow with automated vehicles based on the market penetration rate (MPR). However, these studies have been conducted independently, and the results have shown different trends. Therefore, this study attempted a quantitative analysis of the impact of automated vehicles on mixed traffic flow on uninterrupted roads through a meta-analysis. The results showed that the effect size estimated from an MPR of 75% or higher was statistically significant.

Trends and Implications for Driver Status Monitoring in Autonomous Vehicles (자율주행차량 운전자 모니터링에 대한 동향 및 시사점)

  • M. Chang;D.W. Kang;E.H. Jang;W.J. Kim;D.S. Yoon;J.D. Choi
    • Electronics and Telecommunications Trends
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    • v.38 no.6
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    • pp.31-40
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    • 2023
  • Given recent accidents involving autonomous vehicles, driver monitoring technology related to the transition of control in autonomous vehicles is gaining prominence. Driver status monitoring systems recognize the driver's level of alertness and identify possible impairments in the driving ability owing to conditions including drowsiness and distraction. In autonomous vehicles, predictive factors for the transition to manual driving should also be included. During traditional human driving, monitoring the driver's status is relatively straightforward owing to the consistency of crucial cues, such as the driver's location, head orientation, gaze direction, and hand placement. However, monitoring becomes more challenging during autonomous driving because of the absence of direct manual control and the driver's engagement in other activities, which may obscure the accurate assessment of the driver's readiness to intervene. Hence, safety-ensuring technology must be balanced with user experience in autonomous driving. We explore relevant global and domestic regulations, the new car assessment program, and related standards to extract requirements for driver status monitoring. This kind of monitoring can both enhance the autonomous driving performance and contribute to the overall safety of autonomous vehicles on the road.