• Journal of the Korea Society of Computer and Information
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• 제14권7호
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• pp.151-160
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• 2009

The aim of this study is to propose economical driving speed index which those are geometric road status; assess the levels of which those cost-benefit of driving energy consumption and emission; are search road safety design and operational technology for driving simulator. For the objective, we analyzed the current status of driving energy consumption and driving scenarios by the road alignments, and reviewed driving and technical specifications by the geometric types of road according to the implementation, and extended completion. Throughout the result of this study, diverse related driving information provision service, efficiently navigation driving module is expected to be implemented in the national highway design system.

• Proceedings of the Korean Society of Computer Information Conference
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• 한국컴퓨터정보학회 2014년도 제50차 하계학술대회논문집 22권2호
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• pp.253-255
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• 2014

본 논문에서는 스마트카의 핵심과제인 텔레매틱스와 자동차의 기술융합을 통해 더욱더 향상된 운전자의 안전과 편의를 제공하는 차량 HMI(Human Machine Interface) 시스템을 제안한다. 이 시스템은 차량에 장착된 카메라로 촬영한 도로의 이미지를 실시간으로 레퍼런스 데이터베이스와 매칭하여 도로를 인식하는 기술을 사용한다. 매칭된 레퍼런스 이미지와 운전자 맞춤 텔레매틱스 정보를 합성한 증강현실 영상을 운전자의 시선에 보이는 실제 도로와 지형의 모양에 맞추어 HUD(Head-Up Display)에 투사하는 매핑 기술을 통해 운전자가 운전 중 항시 도로에 집중하여 안전운행을 할 수 있도록 고안하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 한국정보처리학회 2022년도 추계학술발표대회
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• pp.1053-1055
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• 2022

스마트폰이 널리 보급화 된 현대 사회, 도로 위에서도 스마트폰을 보기 위해 시선을 아래로 향한 채 걸어가는 보행자를 목격할 수 있다. 본 논문에서는 항만 내 안전한 도로 보행을 보장하기 위한 솔루션을 제공한다. 사용자 위험 지역 데이터 및 객체 검출을 활용하여 도로 보행자의 위험여부를 파악한 후, 스마트폰 디바이스 내 설치된 Application 으로 스마트폰 디바이스를 제어할 수 있도록 한다. 본 논문에서 제시하는 솔루션을 통해 사용자의 주위를 환기할 수 있고, 전방 미주시로 인한 사고를 예방할 수 있다.

• Journal of Korean Society of Transportation
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• 제20권1호
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• pp.121-130
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• 2002

Purpose of this paper is proposing technical evaluation method for safety on two-lane rural highways, this method can contribute to an establishment of the safety evaluation criteria and eventually contribute to the highway safety. In this study, accident data and field data(grade, radius, speed factor) are collected and are analyzed. And new technical evaluation method is proposed by problem in review of existent methods and analysis result. Property of new method is verified by comparing with existent one. Following are results of this study. 1) Proposed technical evaluation method is Proposed by using difference of speed variance and difference of acceleration. 2) In range of field survey, proposed method is more proper than existent one by comparing. 3) Headways under 6 second affect speed of next vehicle. 4) A point with the lowest speed in curve is placed about 35m from the beginning point. 5) Correlation of speed variance and severity of highway(EPDO) is statistically significant. For using proposed method, more tests are needed on other locations with various geometries. Moreover, advanced study is needed about classifying and giving the weight of each criterion.

• Journal of Korean Society of Transportation
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• 제29권5호
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• pp.19-32
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• 2011

There are many investment budget drafts in the filed of a road traffic safety. The traffic safety budget is spitted into following three major areas: 1) traffic safety facility (Engineering), 2) traffic enforcement (Enforcement), and 3) traffic safety education & public relation (Education). The three area are known as so-called 3E policy. This study investigates the effect of the investment in the 3E policy on the reduction of traffic accidents analyzing the data annually collected from the 15 local governments during 1992 to 2007. The analysis employing the traffic accidents as the dependent variable reveals that the effect of the investment is higher if same amount of investment is made on areas of the traffic safety education and public relation than the area of facility improvement. The similar conclusions are resulted from the separate investigation of traffic accidents data by 6 different types. All the results consistently indicate that the current traffic safety investment being primarily made on traffic safety facility needs to shift to the areas of traffic safety education and public relation budget.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• 제20권4호
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• pp.95-105
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• 2021

Road surface damage detection is essential for a comfortable driving environment and the prevention of safety accidents. Road management institutes are using automated technology-based inspection equipment and systems. As one of these automation technologies, a sensor to detect road surface damage plays an important role. For this purpose, several studies on sensors using deep learning have been conducted in recent years. Road images and label images are needed to develop such deep learning algorithms. On the other hand, considerable time and labor will be needed to secure label images. In this paper, the adversarial learning method, one of the semi-supervised learning techniques, was proposed to solve this problem. For its implementation, a lightweight deep neural network model was trained using 5,327 road images and 1,327 label images. After experimenting with 400 road images, a model with a mean intersection over a union of 80.54% and an F1 score of 77.85% was developed. Through this, a technology that can improve recognition performance by adding only road images was developed to learning without label images and is expected to be used as a technology for road surface management in the future.

• Journal of Korean Society of Transportation
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• 제27권3호
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• pp.91-102
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• 2009

A traffic accident prediction model developed using various design variables(road design variables, geometric variables, and traffic environmental variables) is one of the most important factors to safety design evaluation system for roads. However, statistical accident models have a crucial problem not applicable for all intersections. To make up this problem, this study developed AMFs(Accident Modification Factors) through statistical modeling methods, historical accident databases, judgment from traffic experts, and literature review by considering design variable's characteristics, traffic accident rates, and traffic accident frequency. AMFs developed in this study include exclusive left-turn lane, exclusive right-turn lane, sight distance, and intersection angle. Predictabilities of the developed AMFs and the existing accident prediction models are compared with real accident historical data. The results showed that performances of the developed AMFs are superior to the existing statistical accident prediction models. These findings show that AMFs should be considered as a important process to develop safety design evaluation algorithms. Additionally, AMFs could be used as an index that can judge the impact of corresponding design variables on accidents in rural intersections.

• Journal of Korean Society of Transportation
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• 제22권7호
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• pp.25-32
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• 2004

It is implicated in the current road design manual that design speed is well representing the operating speed of drivers. On the contrary, the disparity between the design speed and operating speed means that current road design cannot guarantee the safety and comfort of driving. In this context, operating speed was observed at the two lane rural roadways to find out the relation of operating speed and design speed. In addition to this, the friction factor from supply and demand which was derived from the operating speed was compared in terms of the dynamics in driving safety factor. It was concluded that the actual speed was consistently exceeding the design speed at the horizontal curves having the radius less than or equal to 200 m. Similarly, the demanded side friction was also consistently exceeding the supplied side friction at the horizontal curves having the radius less than or equal to 200 m and the amount of difference was also inversely proportional to the radius of the horizontal curves.

• The Journal of Korean Institute of Communications and Information Sciences
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• 제35권3B호
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• pp.485-492
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• 2010

Intelligent Transport System(ITS) has been studied in various systems, such as road environment information offering, vehicle short-range wireless/wire communication, vehicle collision preventing and pedestrian safety offering systems. Related to this, the USN technology based on the sensing accuracy for motorists and pedestrians safety, the information reliability, the maintenance and convenience for Sensor Network is highlighted. This study uses various sensors to construct USN to the road, and connect it to the developed RSU so it collects the real-time road environment information and offers it to OBU and Traffic Control Surveillance Center with Road Weather Information System. RSU collects roadside information for driver's safety and analyzes it to offer IP and beacon service according to the service priority to OBU & upper layer terminal. In the upper layer terminal it is developed the IP based Settop Box application program to offer the urban traffic information & road environment, and environment sensor error, etc. Finally, RWIS develops the real-time collection of roadside information to complement the driver's safety to the intelligent traffic system, and presents various service modes with technology convergence.

• Journal of Korean Society for Geospatial Information Science
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• 제22권4호
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• pp.135-142
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• 2014

As interest in social safety has recently increased at the national level, the various activities which can effectively prevent crimes are being carried out. Because the existing maps related to crimes provide the information about the present condition of crimes by administrative district for users, women and pedestrians who go by night could not actually grasp safe roads in advance. Therefore, this study developed the methodology that can easily extract dangerous areas due to crimes by the digital map 2.0. In the digital map 2.0, location and attribute information of center-lines of roads and building layers were used to find dangerous areas of crimes in these layers. Pavement materials and road width which are already built by the attribute information were used in the center-lines of roads. Crossing angles that roads and roads cross each other were additionally extracted and utilized. The attribute information about building types were input in the building layers of the digital map 2.0. The areas that are more the threshold values set by totaling up all the risk scores when considering pavement materials, road width, crossing angles of road, and building types in the center-lines of roads and road crossings were extracted as the dangerous areas that crimes can occur. Verification of the developed methodology was done by experiment. In the spatial apsect, the dangerous areas of crimes could be found by using the digital 2.0, roads, and building layers only through the experiment. In the administrative aspect to prevent crimes, additional installation of safety facilities such as street lights and security lights in the identified areas which are vulnerable for crimes is thought to be increasing safety of dangerous areas.