• Title/Summary/Keyword: Road field

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Development of Severity Model for Rural Unsignalized Intersection Crashes (지방부 비신호 교차로 교통사고 심각도 예측모형 개발 - 수도권 주변 및 전라북도 지역의 3지 비신호 교차로를 중심으로 -)

  • Lee, Dong-Min;Kim, Eung-Cheol;Sung, Nak-Moon;Kim, Do-Hoon
    • International Journal of Highway Engineering
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    • v.10 no.3
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    • pp.47-56
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    • 2008
  • Generally, accident exposure at intersections is relatively higher than that at roadway segments due to more possibility of merging, diverging, turning, crossing, and weaving maneuver. Furthermore, the traffic accident rate at intersections has been rapidly increasing since 1990's. Since there is more opportunity of conflict at unsignalized intersection, frequency and severity of traffic accident are more severe than signalized intersections. The purpose of the study is to analyze factors causing vehicle crashes and provide intersection design guidelines to improve intersection safety. For this study, vehicle to vehicle crash data of 116 rural 3 legs unsignalized were collected and field surveys were conducted for traffic and geometric conditions. Ordered probit models were developed to analyze the severity of crashes. It was found that weather, obstacles in minor roadsides, presence of major exclusive right lane, presence of major road crosswalk, difference between posted speed of major road and minor road, land-use around intersections, shoulder width of major road, ADT of major road are significant factors for intersection safety.

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Development and Basic Experiment of Active Noise Control System for Reduction of Road Noise (도로 소음 저감을 위한 능동소음제어 시스템의 개발 및 기초실험)

  • Moon, Hak Ryong;Kang, Won Pyoung;Lim, You Jin
    • International Journal of Highway Engineering
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    • v.15 no.6
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    • pp.41-47
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    • 2013
  • PURPOSES : The purpose of this study is about noise which is generated from roads and is consist of irregular frequency variation from low frequency to various band. The existing methods of noise reduction are sound barrier that uses insulation material and absorbing material or have applied passive technology of noise reduction by devices. The total frequency band is needed to apply active noise control. METHODS : In this study applies to the field of road traffic environment, signal processing controller and various analog signal input/output, the amplifier module is based on parallel-core embedded processor designed. DSP performs the control algorithm of the road traffic noise. Noise sources in the open space performance of evaluation were applied. In this study, controller of active signal processor was designed based on the module of audio input/output and main controller of embedded process. The controller of active signal processor operates noise reduction algorithm and performance tests of noise reduction in inside and outside environment were executed. RESULTS : The signal processing controller with OMAP-L137 parallel-core processors as the center, DSP processors in the active control operations dealt with quickly. To maximize the operation speed of an object and ARM processor is external function keys and display for functions and evaluating the performance management system was designed for the purpose of the interface. Therefore the reduction of road traffic noise has established an electronic controller-based noise reduction. CONCLUSIONS : It is shown that noise reduction is effective in the case of pour tonal sound and complex tonal sound below 500Hz by appling to Fx-LMS.

Efficient Deep Neural Network Architecture based on Semantic Segmentation for Paved Road Detection (효율적인 비정형 도로영역 인식을 위한 Semantic segmentation 기반 심층 신경망 구조)

  • Park, Sejin;Han, Jeong Hoon;Moon, Young Shik
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.11
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    • pp.1437-1444
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    • 2020
  • With the development of computer vision systems, many advances have been made in the fields of surveillance, biometrics, medical imaging, and autonomous driving. In the field of autonomous driving, in particular, the object detection technique using deep learning are widely used, and the paved road detection is a particularly crucial problem. Unlike the ROI detection algorithm used in general object detection, the structure of paved road in the image is heterogeneous, so the ROI-based object recognition architecture is not available. In this paper, we propose a deep neural network architecture for atypical paved road detection using Semantic segmentation network. In addition, we introduce the multi-scale semantic segmentation network, which is a network architecture specialized to the paved road detection. We demonstrate that the performance is significantly improved by the proposed method.

A study on Ubiquitous Rail System Implementation Scheme (유비쿼터스 레일 시스템 구축을 위한 추진전략 연구)

  • Yang, Doh-Chul;Lee, Jun-Moon;Moon, Dae-Seop
    • Proceedings of the KSR Conference
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    • 2008.11b
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    • pp.2090-2095
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    • 2008
  • Ubiquitous information technology creates new space connected to electronic and physical space and makes new life pattern come true. Although it is expected that ubiquitous technology will lead significant changes on various life fields, relevant studies on its market needs, customer needs in social and cultural context and its necessity at organizational level have been passively carried out. What is worse, IT technology application scheme in railway field has not fully established since railway field's technology development is mainly focused on hardware compared with road and air traffic. In order to apply ubiquitous technology to railway field, therefore, it is required to identify ubiquitous technology functions which applicable to railway field and to establish ubiquitous rail system implementation scheme for end users. In this paper, we suggested implementation scheme for u-Rail which sorts railway industry by its components in order to implement service centered ubiquitous technology to each railway industry field.

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An Analysis of Perceptions by Road Construction Engineers on ICEC Framework at the Time of System Transition, from Responsibility Supervision to Construction Management(I) - Main Focus on ICEC Framework - (책임감리가 건설사업관리(CM)로 전환시 도입된 역량지수(ICEC)에 대한 도로건설기술자들의 인식 분석(I) - 역량지수 등급 체계를 중심으로 -)

  • Park, Hyo-Sung;Kim, Nak-Seok
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.5
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    • pp.1147-1156
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    • 2015
  • The result of responsibility supervision system which has been enforced for the last twenty (20) years since January, 1994 is evaluated, and keeps an eye out the process of unification and absorption of the system into the construction management (CM). As a baseline data for this study, the grade framework of construction engineer's ICEC introduced with CM is summarized. In this manuscript, the questionaire survey for CM and ICEC was conducted toward the target group of road field construction engineers and analyzed the outcome of the respondents' answers. 50% of the respondents have answered positively for the question about converting responsibility supervision to CM. 48% of the respondents from construction works field have answered positively for converting responsibility supervision system to CM while 38% of the respondents from engineers of supervision field have answered positively, less positive than the answers from works field engineers. 46% of overall respondents have answered, however, to maintain the present system of 40%, 40% and 20% on the survey to the question asking the opinion on the ways of calculating ICEC to use the rates : 40% of career, 40% of qualification and 20% of academic achievements. However, it appeared that engineers who have comparative advantages with academic achievements and career, and engineers with lower grade qualification demanded higher rate for career.