• Journal of the Korean association of regional geographers
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• v.17 no.4
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• pp.416-431
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• 2011

Hiking trails in Mt Jiri, and Mt Halla, National Park have been examined in terms of their degrading factors. The trails are deteriorated by natural erosion processes as well as human trampling. Trail deterioration is classified into tread lowering, sidewall retreat, path widening and divergence based upon a place where erosional processes occur. Tread lowering and sidewall retreat is generally produced by natural erosion factors, whereas path widening and divergence is generated by human trampling. Rainwash is the most contributing process to tread lowering. By contrast, several processes such as rainwash, needle ice action, deflation, tree falling and animal activity play a major role in sidewall retreat according to physical conditions of a hiking trail. Path widening and divergence could be classified by a factor producing human trampling. There are lots of cases related to rainwash such as the tree root, gravel, and bedrock, exposed by a surface flow lowering a tread and the riser produced by tread scouring. A puddle of rainwater on a flat tread and a fallen tree of Abies koreana in a forest region are also major factors to cause path widening and divergence. A paved tread with stones encourages a hiker to walk out of a trail. Taking a shortcut also results in path widening and divergence without a factor giving a hiker inconvenience on a trail.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.2
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• pp.711-718
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• 2013

Traffic pavement markings are one of primary transportation facilities that provide drivers with various road information directly. Thus, a clear understanding of traffic pavement markings is utmost important to improve traffic safety as well as to establish a proper traffic culture. However, no past studies examined drivers' understanding of traffic pavement markings in Korea. Hence, this study investigated drivers' understanding of traffic pavement markings through an elaborated administrated survey, and analyzed the relationship between various drivers' characteristics and understanding regarding pavement marking via cross-classification table and logistic model. The analysis results show that drivers have limited understanding regarding the purpose of the markings. Specifically, the average understanding of pavement markings is 57.41%: the lowest understanding is 25.88% for yield pavement marking, and the highest understanding is 91.18% for advanced pedestrian crosswalk pavement marking. This study also revealed that the understanding of some pavement markings are somewhat influenced by user group such as drivers with suspended or revoked driver licenses, but the overall understanding of pavement markings are not significantly affected by drivers' characteristics such as gender and driving experiences at ${\alpha}$=0.05. Thus, it might be desirable for policy makers to establish pavement marking-related policies for overall drivers rather than specific drivers.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.6
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• pp.121-132
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• 2018

Weather is an important factor affecting roadway transportation in many aspects such as traffic flow, driver 's driving patterns, and crashes. This study focuses on the relationship between weather and road surface condition and develops a model to estimate the road surface condition using machine learning. A road surface sensor was attached to the probe vehicle to collect road surface condition classified into three categories as 'dry', 'moist' and 'wet'. Road geometry information (curvature, gradient), traffic information (link speed), weather information (rainfall, humidity, temperature, wind speed) are utilized as variables to estimate the road surface condition. A variety of machine learning algorithms examined for predicting the road surface condition, and a two - stage classification model based on 'Random forest' which has the highest accuracy was constructed. 14 days of data were used to train the model and 2 days of data were used to test the accuracy of the model. As a result, a road surface state prediction model with 81.74% accuracy was constructed. The result of this study shows the possibility of estimating the road surface condition using the existing weather and traffic information without installing new equipment or sensors.

• Journal of the Korea institute for structural maintenance and inspection
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• v.28 no.1
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• pp.82-89
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• 2024

Black ice is very difficult to recognize and reduces the friction of the road surface, causing automobile accidents. Since black ice is difficult to detect, there is a need for a system that identifies black ice in real time and warns the driver. Various studies have been conducted to prevent black ice on road surfaces, but there is a lack of research on systems that identify black ice in real time and warn drivers. In this paper, an real-time image-based analysis system was developed to identify the condition of asphalt road surface, which is widely used in Korea. For this purpose, a dataset was built for each asphalt road surface image, and then the road surface condition was identified as dry, wet, black ice, and snow using deep learning. In addition, temperature and humidity data measured on the actual road surface were used to finalize the road surface condition. When the road surface was determined to be black ice, the salt spray equipment installed on the road was automatically activated. The surface condition recognition system for the asphalt concrete pavement and black ice automatic prevention system developed in this study are expected to ensure safe driving and reduce the incidence of traffic accidents.

• Journal of Korean Society for Geospatial Information Science
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• v.13 no.4 s.34
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• pp.19-25
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• 2005

This study suggests a method for securing road safety by extracting the expected surface freezing section in planning a route using GIS. When planning a road construction in a mountainous area it is possible to confront surface freezing especially in the wintertime. In addition, it is required assessment data of surface freezing rates in the case of turnkey inspections of newly constructed or expanded roads. Consequently, an analysis method that can quantitatively estimate the surface freezing section and sunshine influence on each section of a road is needed. We can extract the expected surface freezing section which amounted to around 29km of the Donghae highway, with such techniques as three-dimensional modeling, sunshine simulation geographical database construction and spatial analysis using the overlay function of the GIS spatial analysis. This study can be used as a method to assess advance safety which has a direct influence on planning the blueprint that should be approved by a policy maker after efficiently understanding the expected surface freezing section in accordance with hill shade.

• Journal of Korean Society for Geospatial Information Science
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• v.12 no.3 s.30
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• pp.51-59
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• 2004

In the study, there has been a sharp upward trend in road maintenance cost as the expansion of road networks increases. Running a pavement management system(PMS) is indispensable for efficient and scientific maintenance of the whole road networks with limited maintenance budgets. With a PMS, a maintenance plan should be drawn up after surface conditions are precisely examined and analyzed. The majority of the present PMSs are run by the fact that experts first examine surface conditions on sites, and then enter results into systems. However, considering the actual circumstances of the present time and the increase in paved road hereafter, it is inefficient that experts examine the whole paved roads in person and long-lasting PMSs can not be kept up. As a result, after analyzing the accuracy of 3-D coordinates representing road surfaces that was decided using multi orientation and digital photogrammetry, the average of standard errors turned out to be 0.0427m on the X-axis, 0.0527m on the Y-axis and 0.1539m on the Z-axis. It was found to be good enough to be put to practical use for maps drawn on scales below 1 :1000, which are being currently made and used within the country, and GIS data.

• Design Convergence Study
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• v.18 no.5
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• pp.1-17
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• 2019

Buses, subways, taxis, etc., called public transportation, are attached with a variety of advertisements Each public transportation is promoted and advertised to suit the environment and characteristics. Against this backdrop, the No. 1 tram project has been launched of public transportation in Korea. Unlike traditional public transportation, tram are not fast enough to use railways and are connected to ordinary roads, so advertisements and promotional materials can be applied in various methods. However, in order to minimize problems such as indiscriminate ad placement, this study examines how inside and outside of tram are attached methods of Central Europe where public transportation has developed. The surveyed attachment method proposes design guidelines for adhering Korean tram by modifying them in consideration of the features, environment and so on of the use of Korean tram. The guidelines produced are evaluated through interviews of three Busan citizens.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.113-116
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• 2016

본 논문에서는 사람의 수작업을 통해서 작업을 하고 있는 도로 노면 문자 도색 작업을 자동화하기 위해 문자의 요소 인식과 인식한 결과로 문자 구성 정보를 전달하고, 이 정보를 이용하여 문자를 도색하는 프로그램을 구성하여 도로 노면 문자 도색 모의실험을 수행하였다. 정보처리기기에 프로그램을 구성하여 작업할 문자들을 입력 받아, 이미지 변환과 세선화와 역세선화를 거쳐 만들어진 영상에서 끝점, 2모음점, 3선 이상 모음점, 고립점 등 특징 점들을 추출하고 특징점들을 이용하여 글자를 인식하고, 특징점들을 이용하여 만든 정보를 도로 노면 문자 도색용 장비로 보낸다는 가정 하에 도색 프로그램을 수행 후, 나타난 결과를 피드백 하여 도색 프로그램을 수정하여 도로 노면 문자 도색 작업에 쓸 수 있는 성능의 결과를 구성하였다.

• Journal of Korean Society of Steel Construction
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• v.9 no.1 s.30
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• pp.23-36
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• 1997

교량(橋梁)의 동적응답(動的應答)을 파악하기 위해서는 노면(路面)조도에 의해 영향을 받는 차량의 거동 파악이 중요하게 된다. 최근, 교량의 상판(床版)등에서 발생되는 피로(疲勞)의 영향에 대한 관심이 고조되어 서서히 교통진동의 3차원 모델링에 대한 중요성이 대두되고 있다. 이에 본 연구에서는 교량에 발생되는 교통진동(交通振動)의 영향을 좀더 정확히 표현하기 위하여 3차원 해석 방법을 제시한다. 해석방법으로 유한 요소법이 이용되었고, 차량 모델링은 하나의 전축(煎軸)과 두 개의 후축(後軸)을 갖는 8자유도계(自由度系) 차량 모델을 이용하여 수치 시뮬레이션을 수행하였다. 동적(動的) 연립미분방정식(聯立微分方程式)의 해법에서는 Newmark-${\beta}$법(法)을 이용하였고, 가상 노면요철(凹凸)모델링에서는 정상불규칙과정(定常不規則過程)으로 가정하여 노면 요철(凹凸)을 생성하여 시뮬레이션에 사용하였다. 또한 실제 차량 및 교량에서의 실측치와 비교하여 모델의 검증을 수행하였다.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 1990.10a
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• pp.143-147
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• 1990

자동차는 주행시에 노면가진으로 인하여 진동을 받게 되는 데 이러한 진동 은 운전자의 승차감을 저하시킬 뿐만 아니라 화물과 차량 부품을 파손시키 는 원인이 되기도 한다. 노면가진력은 주로 현가장치를 통하여 차량에 전달 되어 차량의 진동을 유발하게 되므로 승차감을 향상시키려면 노면가진을 효 과적으로 차단할 수 있도록 현가장치를 설계하여야 한다. 이를 위하여 본 논 문에서는 차량을 현가장치의 형식에 따라 3가지 종류로 구분한 다음 각각을 12자유도로 모델링하여 노면이 불규칙(random)한 도로를 주행할 때의 승용 차의 진동을 해석하고, 현가스프링의 강성과 쇼크 압소바의 감쇠 값이 자체 수직 가속도 유효치(rms value)와 현가장치 유효행정(rms stroke length)에 미치는 영향을 분석하였다. 차량의 운동방정식은 현가장치의 비선형 특성을 고려하였기 때문에 미소 각 운동의 가정에도 불구하고 비선형 방정식이 된 다. 운동 방정식의 해는 4차 Runge-Kutta 적분법을 사용하여 수치해석으로 구하였다.