• Title/Summary/Keyword: road vehicle

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Ambient Vibration Tests for Enhanced Bridges Integrity Assessment (교량건전성 평가의 개선을 위한 상시진동시험)

  • Yi, Jin-Hak;Lee, Jong-Jae;Lee, Chang-Geun;Lee, Won-Tae;Yun, Chung-Bang
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2004.11a
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    • pp.611-614
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    • 2004
  • In this study, ambient vibration tests are carried out to replace the current bridge integrity assessment using controlled vehicle test, which requires the traffic control and may induce public complains. Ambient vibration tests and output-only modal identification can be very effective approach to evaluate the bridge integrity because the ambient vibration tests can be performed very easily without trafnc control. The bridges in test road of Jungbu Inland Highway were tested and the results are discussed here.

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Prevention of Traffic Accident using AHP Rules (AHP를 이용한 교통사고 예방)

  • Jin, Hyun-Soo
    • Proceedings of the KAIS Fall Conference
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    • 2008.05a
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    • pp.157-159
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    • 2008
  • This paper has been studied traffic accident using intelligence prediction algorithm. and wish to prevent accident by guiding in 2 km ahead the accident that occur in fog section and a snow-covered road, sudden roadworks and sharp curve section, etc and removing fog and snow automatically using the ubiquitous and intelligence technique. If we can predict of traffic accident, we can prevent the many traffic accident. In this paper, we present neural network approach for prediction of traffic accident. Computer simulation results prove that reducing the average vehicle waiting time which proposed considering prevention of traffic algorithm for optimal traffic cycle is better than fixed signal method which dose not using prevention of traffic algorithm.

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Mean-Shift Blob Clustering and Tracking for Traffic Monitoring System

  • Choi, Jae-Young;Yang, Young-Kyu
    • Korean Journal of Remote Sensing
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    • v.24 no.3
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    • pp.235-243
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    • 2008
  • Object tracking is a common vision task to detect and trace objects between consecutive frames. It is also important for a variety of applications such as surveillance, video based traffic monitoring system, and so on. An efficient moving vehicle clustering and tracking algorithm suitable for traffic monitoring system is proposed in this paper. First, automatic background extraction method is used to get a reliable background as a reference. The moving blob(object) is then separated from the background by mean shift method. Second, the scale invariant feature based method extracts the salient features from the clustered foreground blob. It is robust to change the illumination, scale, and affine shape. The simulation results on various road situations demonstrate good performance achieved by proposed method.

Modal parametric changes in a steel bridge with retrofitting

  • Walia, Suresh Kumar;Vinayak, Hemant Kumar;Kumar, Ashok;Parti, Raman
    • Steel and Composite Structures
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    • v.19 no.2
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    • pp.385-403
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    • 2015
  • This paper presents the status improvement of an old damaged deck type rural road steel truss bridge through the modal parametric study after partial retrofitting. The dynamic and static tests on bridge were carried out as in damaged state and after partial retrofitting. The dynamic testing on the steel bridge was carried out using accelerometers under similar environmental conditions with same speed of the moving vehicle. The comparison of the modal parameters i.e., frequency, mode shape mode shape curvature, modal strain energy, along with the deflection parameter are studied with respect to structural analytical model parameters. The status up gradation for the upper and downstream truss obtained was different due to differential level of damage in the bridge. Also after retrofitting the structural elemental behavior obtained was not same as desired. The damage level obtained through static tests carried out using total station indicated further retrofitting requirement.

Authentication between the vehicle scheme using Counting BloomFilter in SMART Highway (SMART Highway환경에서 Counting BloomFilter를 활용한 차량 간 인증 기법)

  • Kim, Su-Hyun;Lee, Im-Yeong
    • Annual Conference of KIPS
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    • 2012.04a
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    • pp.672-675
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    • 2012
  • SMART Highway 사업은 첨단 IT통신과 자동차 및 도로 기술이 접목된 세계 최고수준의 빠르고 편안한 지능형 녹색도로 실현을 목표로 하고 있다. SMART Highway의 도로-자동차 기반 교통운영에서 핵심기술인 VANET(Vehicular Ad-hoc Network)은 다수의 차량들이 무선통신을 이용하여 차량 간 통신 또는 차량과 RSU(Road Side Unit)사이의 통신을 제공하는 차세대 네트워킹 기술이다. 특히, 운전자의 안전에 직접적인 영향을 끼칠 수 있는 V2V 통신의 경우 차량 간의 안전한 통신을 위해 차량 간 상호인증이 반드시 고려되어야 한다. 이처럼 빠른 속도로 이동하는 차량 간 인증이 원활이 이루어지기 위해서는 기존의 네트워크에서 사용된 인증방식은 그대로 적용시키기 어렵다. 따라서 본 논문에서는 다수의 차량 간 통신 시에 보다 효율적인 차량 인증을 위해 카운팅 블룸필터를 이용한 차량 인증 기법을 제안한다.

Development Based on Signal Processing Platform for Automotive UWB Radar System (차량용 UWB 레이다를 위한 DSP 기반의 신호처리 모듈 플랫폼 개발)

  • Ju, Yeonghwan;Kim, Sang-Dong;Lee, Jong-Hun
    • IEMEK Journal of Embedded Systems and Applications
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    • v.6 no.5
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    • pp.319-325
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    • 2011
  • Recently, collision avoidance systems are under development to reduce the traffic accidents and driver comfort for automotive radar. Pulse radar can detect their range and velocities of moving vehicles using range gate and FFT(Fast Fourier Transform) of the doppler frequency. We designed the real time DSP(Digital Signal Processing) based automotive UWB(Ultra Wideband) radar, and implemented DSP to detect the range and velocity within 100ms for real time system of the automotive UWB radar. We also measured the range and velocity of a moving vehicle using designed automotive UWB radar in a real road environment.

Improving Performance of YOLO Network Using Multi-layer Overlapped Windows for Detecting Correct Position of Small Dense Objects

  • Yu, Jae-Hyoung;Han, Youngjoon;Hahn, Hernsoo
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.3
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    • pp.19-27
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    • 2019
  • This paper proposes a new method using multi-layer overlapped windows to improve the performance of YOLO network which is vulnerable to detect small dense objects. In particular, the proposed method uses the YOLO Network based on the multi-layer overlapped windows to track small dense vehicles that approach from long distances. The method improves the detection performance for location and size of small vehicles. It allows crossing area of two multi-layer overlapped windows to track moving vehicles from a long distance to a short distance. And the YOLO network is optimized so that GPU computation time due to multi-layer overlapped windows should be reduced. The superiority of the proposed algorithm has been proved through various experiments using captured images from road surveillance cameras.

A Reputation System based on Blockchain for Collaborative Message Delivery over VANETs (VANET 환경에서의 협력적 메시지 전달을 위한 블록체인 기반 평판 시스템)

  • Lee, Kyeong Mo;Rhee, Kyung-Hyune
    • Journal of Korea Multimedia Society
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    • v.21 no.12
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    • pp.1448-1458
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    • 2018
  • Vehicular Ad-Hoc Networks (VANETs) have become one of the active areas of research, standardization, and development because they have tremendous potentials to improve vehicle and road safety, traffic efficiency, and convenience as well as comfort to both drivers and passengers. However, message trustfulness is a challenge because the propagation of false message by malicious vehicles induces unreliable and ineffectiveness of VANETs, Therefore, we need a reliable reputation method to ensure message trustfulness. In this paper, we consider a vulnerability against the Sybil attack of the previous reputation systems based on blockchain and suggest a new reputation system which resists against Sybil attack on the previous system. We propose an initial authentication process as a countermeasure against a Sybil attack and provide a reliable reputation with a cooperative message delivery to cope with message omission. In addition, we use Homomorphic Commitment to protect the privacy breaches in VANETs environment.

Air Pollutant Reduction Effect on Road Mobility in Hydrogen Economy Era (수소경제 활성화 로드맵 달성에 따른 교통 부문의 대기오염원 저감 효과 분석)

  • KIM, JUNGHWA
    • Journal of Hydrogen and New Energy
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    • v.31 no.6
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    • pp.522-529
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    • 2020
  • This study evaluated the effect of improving the atmospheric environment based on the premise that the supply of hydrogen fuel cell vehicles (HFCV) will be achieved as many as the number of vehicles presented in the hydrogen economy activation roadmap announced by the Korean government in January 2019. The HFCV supply target (2.7 million passenger cars) suggested in the hydrogen economy revitalization roadmap was logically allocated to the five major metropolitan areas in Korea. Air pollution damage costs by region were calculated by reflecting the basic unit of damage cost to the estimated air pollutant emissions. As a result, it was confirmed that the benefits per unit of some cities in Gyeonggi-do were derived more than major cities in the metropolitan area.

Study on Production of DEM Using Aerial Photo (항공사진을 이용한 DEM 제작에 관한 연구)

  • Park, Chung-Sun;Lee, Gwang-Ryul
    • Journal of The Geomorphological Association of Korea
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    • v.25 no.3
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    • pp.105-120
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    • 2018
  • This study estimates possibility and limitation on production of DEM using aerial photo by comparison of DEMs using aerial photo and digital map. Mountain and urban areas show higher elevation in DEM using aerial photo than in DEM using digital map, due to height of vegetation cover and buildings, respectively. However, artificial affects due to bridge, embankment and road construction are responsible for areas with higher elevation in DEM using digital map than in DEM using aerial photo. This difference in elevation between DEMs seems to be caused by rapid change in real elevation that is not reflected in digital map. There is little difference in elevation between DEMs in plain and area with little or no vegetation cover. This study suggests that problems associated with vegetation cover and error by GCP should be fixed, although DEM using aerial photo can quantitatively and 3-dimensionally reconstruct topography with a high resolution.