• 제목/요약/키워드: Autonomous infrastructure

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Impact Analysis of Connected-Automated Driving Services on Urban Roads Using Micro-simulation (미시교통시뮬레이션 기반 도심도로 자율협력주행 서비스 효과 분석)

  • Lee, Ji-yeon;Son, Seung-neo;Park, Ji-hyeok;So, Jaehyun(Jason)
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • 제21권1호
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    • pp.91-104
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    • 2022
  • The operational design domain (ODD) of autonomous vehicles needs to be expanded on highways and urban roads in light of the substantial commercialization of Level 3 autonomous vehicles. Therefore, this study developed a specific infrastructure autonomous vehicle-based cooperative driving service to ensure the driving safety of autonomous vehicles on city roads. The traffic operation efficiency, safety evaluation, and core evaluation indices for each service were selected and analyzed to study the effect of each service. The result of the analysis confirmed that the traffic operation efficiency and safety of autonomous vehicles were improved through the V2X communication-based autonomous cooperative driving service. On the whole, the significance of this study is in deriving the effect of the autonomous cooperative driving service based on V2X communication on urban roads with interrupting traffic flow.

A Study on the Construal Level and Intention of Autonomous Driving Taxi According to Message Framing (해석수준과 메시지 프레이밍에 따른 자율주행택시의 사용의도에 관한 연구)

  • Yoon, Seong Jeong;Kim, Min Yong
    • Journal of Intelligence and Information Systems
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    • 제24권3호
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    • pp.135-155
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    • 2018
  • The purpose of this study is to analyze the difference of interpretation level and intention to use message framing when autonomous vehicle, which is emerging as the product of 4th industrial revolution, is used as taxi, Interpretation level refers to the interpretation of a product or service, assuming that it will happen in the near future or in the distant future. Message framing refers to the formation of positive or negative expressions or messages at the extremes of benefits and losses. In other words, previous studies interpret the value of a product or service differently according to these two concepts. The purpose of this study is to investigate whether there are differences in intention to use when two concepts are applied when an autonomous vehicle is launched as a taxi. The results are summarized as follows: First, the message format explaining the gain and why should be used when using the autonomous taxi in the message framing configuration, and the loss and how when the autonomous taxi is not used. Messages were constructed and compared. The two message framing differed (t = 3.063), and the message type describing the benefits and reasons showed a higher intention to use. In addition, the results according to interpretation level are summarized as follows. There was a difference in intentions to use when assuming that it would occur in the near future and in the near future with respect to the gain and loss, Respectively. In summary, in order to increase the intention of using autonomous taxis, it is concluded that messages should be given to people assuming positive messages (Gain) and what can happen in the distant future. In addition, this study will be able to utilize the research method in studying intention to use new technology. However, this study has the following limitations. First, it assumes message framing and time without user experience of autonomous taxi. This will be different from the actual experience of using an autonomous taxi in the future. Second, self-driving cars should technical progress is continuing, but laws and institutions must be established in order to commercialize it and build the infrastructure to operate the autonomous car. Considering this fact, the results of this study can not reflect a more realistic aspect. However, there is a practical limit to search for users with sufficient experience in new technologies such as autonomous vehicles. In fact, although the autonomous car to take advantage of the public transportation by taxi is now ready for the road infrastructure, and technical and legal public may not be willing to choose to not have enough knowledge to use the Autonomous cab. Therefore, the main purpose of this study is that by assuming that autonomous cars will be commercialized by taxi you can do to take advantage of the autonomous car, it is necessary to frame the message, why can most effectively be used to find how to deliver. In addition, the research methodology should be improved and future research should be done as follows. First, most students responded in this study. It is also true that it is difficult to generalize the hypotheses to be tested in this study. Therefore, in future studies, it would be reasonable to investigate the population of various distribution considering the age, area, occupation, education level, etc. Where autonomous taxi can be used rather than those who can drive. Second, it is desirable to construct various message framing of the questionnaire, but it is necessary to learn various message framing in advance and to prevent errors in response to the next message framing. Therefore, it is desirable to measure the message framing with a certain amount of time when the questionnaire is designed.

Development of Safety Evaluation Scenario for Autonomous Vehicle Take-over at Expressways (고속도로 자율주행자동차 제어권 전환 안전성 평가를 위한 시나리오 개발)

  • Park, Sungho;Jeong, Harim;Kim, Kyung Hyun;Yun, Ilsoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • 제17권2호
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    • pp.142-151
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    • 2018
  • In the era of the 4th Industrial Revolution, research and development on autonomous vehicles have been actively conducted all over the world. Under these international trends, the Ministry of Land, Infrastructure and Transport is actively promoting the development of autonomous vehicles aiming at commercialization of autonomous vehicles at level 3 or higher by 2020. In the level 3 autonomous vehicle, it is essential to transfer control between the driver and the vehicle according to driving situations. Prior to the full-fledged autonomous vehicle age, this study developed a representative scenario for the safety evaluation on take-over on expressways. To accomplish this, we developed a highway driving scenario first, and then developed six control transition scenarios based on 2014 highway traffic accident data and take-over data. The variables to be considered in the developed scenarios are divided into drivers, vehicles, and environmental factors. A total of 36 variables are selected.

Fine Dust Monitoring and Removal Method in Urban Construction Sites Using Autonomous Mobile Vehicle and Dry Fog System (자율이동체와 드라이포그를 활용한 도심지 건설현장 미세먼지 모니터링 및 대응 방안)

  • Kim, Kyoon Tai
    • Ecology and Resilient Infrastructure
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    • 제6권4호
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    • pp.277-286
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    • 2019
  • The construction industry is known to be one of the representative industries that generate fine dust. Therefore, reducing the amount of fine dust generated in construction sites is very important for the overall fine dust management. Based on this, this study proposed the fine dust measurement and removal technology combined with advanced technologies such as autonomous mobile vehicle IoT and DFS. The qualitative, quantitative and risk elimination effects that can be expected when applying the proposed technique are analyzed. The proposed technique will be validated through system development and field application and evaluated specific economics through cost analysis.

Absorptive Capacity Effects of Foreign Direct Investment in Selected Asian Economies

  • ROY, Samrat
    • The Journal of Asian Finance, Economics and Business
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    • 제8권11호
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    • pp.31-39
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    • 2021
  • This study empirically examines the proposition that the domestic fundamentals of a nation can emerge as absorptive capacity factors to reap the benefits of inward FDI. The study is contextualized in Asia, set from1982 to 2017, and data is grouped into low-income and lower-middle-income economies, in comparison to high-income and upper-middle-income economies, catering to different geographical regions within Asia. The investigation is based on a series of absorptive capacity factors such as infrastructure, human capital, domestic credit, and health indicator. The methodological analysis is premised on dynamic panel structure and employs the Generalized Method of Moments (GMM) estimation technique. The empirical findings suggest that that the infrastructure variable appears to be the major absorptive capacity factor for both groups of countries. The health indicator, on the other hand, can help reap the benefits of inward FDI, but only if the threshold level is met. The selected economies must achieve this threshold level to reap the benefits of FDI. To absorb the benefits of inward FDI, countries must be proactive in providing sound infrastructure and implementing proper healthcare measures.

Reliability Verification of Secured V2X Communication for Cooperative Automated Driving (자율협력주행을 위한 V2X 보안통신의 신뢰성 검증)

  • Jung, Han-gyun;Lim, Ki-taeg;Shin, Dae-kyo;Yoon, Sang-hun;Jin, Seong-keun;Jang, Soo-hyun;Kwak, Jae-min
    • Journal of Advanced Navigation Technology
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    • 제22권5호
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    • pp.391-399
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    • 2018
  • V2X communication is a technology in which a vehicle exchanges information with various entities such as other vehicles, infrastructure, networks, pedestrians, etc. through a wired or wireless network. Recently, V2X communication technology has been steadily developed and recently it has played an important role in autonomous cooperation driving technology combined with autonomous vehicle technology. Autonomous vehicles can utilize the external information received via V2X communication to extend the recognition range of existing sensors and to support more safe and natural autonomous driving. In order to operate these autonomous cooperative vehicles on public roads, the security and reliability of autonomous V2X communication should be verified in advance. In this paper, we present test scenarios and test procedures of secure V2X communication for cooperative automated driving and present verification results.

A Study on the Development of Driving Risk Assessment Model for Autonomous Vehicles Using Fuzzy-AHP (퍼지 AHP를 이용한 자율주행차량의 운행 위험도 평가 모델 개발 연구)

  • Siwon Kim;Jaekyung Kwon;Jaeseong Hwang;Sangsoo Lee;Choul ki Lee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • 제22권1호
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    • pp.192-207
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    • 2023
  • Commercialization of level-4 (Lv.4) autonomous driving applications requires the definition of a safe road environment under which autonomous vehicles can operate safely. Thus, a risk assessment model is required to determine whether the operation of autonomous vehicles can provide safety to is sufficiently prepared for future real-life traffic problems. Although the risk factors of autonomous vehicles were selected and graded, the decision-making method was applied as qualitative data using a survey of experts in the field of autonomous driving due to the cause of the accident and difficulty in obtaining autonomous driving data. The fuzzy linguistic representation of decision-makers and the fuzzy analytic hierarchy process (AHP), which converts uncertainty into quantitative figures, were implemented to compensate for the AHP shortcomings of the multi-standard decision-making technique. Through the process of deriving the weights of the upper and lower attributes, the road alignment, which is a physical infrastructure, was analyzed as the most important risk factor in the operation risk of autonomous vehicles. In addition, the operation risk of autonomous vehicles was derived through the example of the risk of operating autonomous vehicles for the 5 areas to be evaluated.

Deep Learning-based UWB Distance Measurement for Wireless Power Transfer of Autonomous Vehicles in Indoor Environment (실내환경에서의 자율주행차 무선 전력 전송을 위한 딥러닝 기반 UWB 거리 측정)

  • Hye-Jung Kim;Yong-ju Park;Seung-Jae Han
    • KIPS Transactions on Computer and Communication Systems
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    • 제13권1호
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    • pp.21-30
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    • 2024
  • As the self-driving car market continues to grow, the need for charging infrastructure is growing. However, in the case of a wireless charging system, stability issues are being raised because it requires a large amount of power compared with conventional wired charging. SAE J2954 is a standard for building autonomous vehicle wireless charging infrastructure, and the standard defines a communication method between a vehicle and a power transmission system. SAE J2954 recommends using physical media such as Wi-Fi, Bluetooth, and UWB as a wireless charging communication method for autonomous vehicles to enable communication between the vehicle and the charging pad. In particular, UWB is a suitable solution for indoor and outdoor charging environments because it exhibits robust communication capabilities in indoor environments and is not sensitive to interference. In this standard, the process for building a wireless power transmission system is divided into several stages from the start to the completion of charging. In this study, UWB technology is used as a means of fine alignment, a process in the wireless power transmission system. To determine the applicability to an actual autonomous vehicle wireless power transmission system, experiments were conducted based on distance, and the distance information was collected from UWB. To improve the accuracy of the distance data obtained from UWB, we propose a Single Model and Multi Model that apply machine learning and deep learning techniques to the collected data through a three-step preprocessing process.

Development of Real-time Traffic Information Generation Technology Using Traffic Infrastructure Sensor Fusion Technology (교통인프라 센서융합 기술을 활용한 실시간 교통정보 생성 기술 개발)

  • Sung Jin Kim;Su Ho Han;Gi Hoan Kim;Jung Rae Kim
    • Journal of Information Technology Services
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    • 제22권2호
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    • pp.57-70
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    • 2023
  • In order to establish an autonomous driving environment, it is necessary to study traffic safety and demand prediction by analyzing information generated from the transportation infrastructure beyond relying on sensors by the vehicle itself. In this paper, we propose a real-time traffic information generation method using sensor convergence technology of transportation infrastructure. The proposed method uses sensors such as cameras and radars installed in the transportation infrastructure to generate information such as crosswalk pedestrian presence or absence, crosswalk pause judgment, distance to stop line, queue, head distance, and car distance according to each characteristic. create information An experiment was conducted by comparing the proposed method with the drone measurement result by establishing a demonstration environment. As a result of the experiment, it was confirmed that it was possible to recognize pedestrians at crosswalks and the judgment of a pause in front of a crosswalk, and most data such as distance to the stop line and queues showed more than 95% accuracy, so it was judged to be usable.

Efficient Crossroad Wireless LAN Vehicular Communication Network for Remote Driving and Monitoring Autonomous Vehicle (무인자동차 원격운행 및 모니터링을 위한 효율적인 사거리 교차로 무선랜 자동차통신망)

  • Jo, Jun-Mo
    • The Journal of the Korea institute of electronic communication sciences
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    • 제9권3호
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    • pp.387-392
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    • 2014
  • Now a days, there are various application functions to transmit from vehicles to the Internet and vice versa. And the communication can be operated through a roadside infrastructure including with possible use of routing protocols. Specifically, autonomous vehicles for remote driving and monitoring requires transmitting of high depth of multimedia such as video. Especially in a populated urban area, an efficient network is vital because of handling a great amount of the data. Therefore, in this paper, efficient network topology for a crossroad in urban area is suggested by performance evaluation of vehicular networks using a wireless LAN and a routing protocol. For the performance evaluation, various vehicular network topologies are designed and simulated in OPNet simulator.