• 대한교통학회지
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• 제30권1호
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• pp.59-72
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• 2012

교통소통을 개선하기 위해 설치된 오르막차로의 운영효율은 교통상태에 따라 달라지는 것이 관측된다. 교통운영측면에서 교통량(v/c)이 증가하고 중차량 구성비가 증가할 경우, 오르막차로는 오히려 교통혼잡의 요인으로 작용하기도 한다. 이는 교통류 상태에 따라 오르막차로를 동적으로 운영하면 효과가 있다는 것을 시사하지만, 교통운영측면에서 이를 효과적으로 제어할 계량적인 기준은 없는 실정이다. 본 연구에서는 오르막구간에서의 동적차로운영기준의 필요성을 제시하고, 교통특성에 맞는 기준을 수립하여 이에 대한 효과를 분석하고자 하였다. 낙동분기점 마산방향의 오르막구간을 선정하여 교통량비(v/c), 중차량 구성비 등을 교통운영변수로 VISSIM 분석을 시행하였다. 시뮬레이션 결과, 오르막구간의 평균통행속도가 50km/h일 때 오르막차로의 개방과 폐쇄를 결정하는 운영기준(임계통행속도)으로 적절한 것으로 나타났다. 또한 오르막차로 동적운영에 따른 효과를 분석한 결과, 동적운영의 경우 일반적인 개방과 폐쇄보다 편익이 높은 것으로 나타났다.

• 한국도로학회논문집
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• 제15권6호
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• pp.125-133
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• 2013

PURPOSES : The purpose of this study is to propose delay-minimizing operation methodology of a signalized intersection based upon optimization of lane-uses on approaching lanes for an intersection. METHODS : For the optimization model of lane-uses, a set of constraints are set up to ensure feasibility and safety of the lane-uses, traffic flow, and signal settings. Minimization of demand to saturation flow ratio of a dual-ring signal control system is introduced to the objective function for delay minimization and effective signal operation. Using the optimized lane-uses, signal timings are optimized by delay-based model of TRANSYT-7F. RESULTS : It was found that the proposed objective function is great relation with delay time for an intersection. From the experimental results, the method was approved to be effective in reducing delay time. Especially, cases for two left-turn lanes reduced greater delays than those for a left turn lane. It is noticed that the cases for different traffic volume by approach reduced greater delays than those for the same traffic volume by approach. CONCLUSIONS : It was concluded that the objective function is proper for lane-uses optimizing model and the operation method is effective in reducing delay time for signalized intersections.

• 한국도로학회논문집
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• 제15권3호
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• pp.85-92
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• 2013

PURPOSES: The purpose of this paper is to estimate expected effects on traffic operational and economic aspects of 2+1 roads application in Korea. METHODS : Micro simulation study using VISSIM 5.0 was used to analyze the operation efficiency of 2+1 roads compared to two-lane highways and four-lane highways. Some scenarios for various traffic volumes were set up in order to analyze the effect of 2+1 roads under various traffic situations. Also imaginary road networks were set up for each type of roads. The MOEs to measure the operation efficiency were selected with average travel speed and delay. For analyzing economic effect of 2+1 roads, construction cost of a specific imaginary 2+1 road was compared to construction cost of a four-lane highway with same conditions. RESULTS: The results of study show that a 2+1 road is more effective with 19 percents higher average travel speed and 39 percents lower average delay than a two-lane highway. In the economic analysis, construction costs to construct a 2+1 road are saved as approximately 26.4~40.7 percents when compared to construction of four-lane highway. CONCLUSIONS: It can be concluded that 2+1 roads can improve the traffic operational level of service for two-lane highways and 2+1 roads can be applied as an effective design alternative for higher-volume two-lane highways in Korea.

• 한국안전학회지
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• 제27권3호
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• pp.153-160
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• 2012

Various social problems such as traffic congestion, car accidents and environmental problems(air pollution, noises etc.) have been happening in the Seoul metropolitan area that has the car oriented traffic system providing cars continuously. Along with this, the financial burden caused by current oil price anxiety made paradigm shift from caroriented to public transportation-oriented. Its typical example is an arterial branch bus system changing(bus lane through the center of main road) started in Seoul in July, 2004. But study on safety analysis of bus lane and characteristic of accidents are not sufficient enough to now. The bus lanes are expanded to provide roads for better traffic operation and accidents between buses and pedestrians or ordinary vehicles are considered main problems. This study divided each bus route of median bus lane(bus-only lane through the center of main roads) and bus lane at roadside by intersection and collected and analysed data about influence variables of bus accidents chosen in each section. We constructed a logistic model using collected data. As a result, bus lane at roadside are used by both buses and other kinds of vehicles differently from median bus lane and showed such characteristic in accident influence. Therefore access management to factors causing conflict and improvement of operation management are required. In case of median bus lane, the more buses moving general vehicle lane and traffic volume of section were, the more accidents happened. In case that stop line of center lane is not backward, view blocking of vehicles turning left caused accidents.

• 대한임베디드공학회논문지
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• 제18권5호
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• pp.225-231
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• 2023

With the recent surge in the autonomous driving market, the significance of lane detection technology has escalated. Lane detection plays a pivotal role in autonomous driving systems by identifying lanes to ensure safe vehicle operation. Traditional lane detection models rely on engineers manually extracting lane features from predefined environments. However, real-world road conditions present diverse challenges, hampering the engineers' ability to extract adaptable lane features, resulting in limited performance. Consequently, recent research has focused on developing deep learning based lane detection models to extract lane features directly from data. In this paper, we classify lane detection models into four categories: cluster-based, curve-based, information propagation-based, and anchor-based methods. We conduct an extensive analysis of the strengths and weaknesses of each approach, evaluate the model's performance on an embedded board, and assess their practicality and effectiveness. Based on our findings, we propose future research directions and potential enhancements.

• 한국ITS학회:학술대회논문집
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• 한국ITS학회 2008년도 제7회 추계학술대회 및 정기총회
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• pp.309-310
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• 2008

• 한국도로학회:학술대회논문집
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• 한국도로학회 2009년도 추계학술대회 논문집
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• pp.697-701
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• 2009

• 대한교통학회지
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• 제12권1호
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• pp.151-172
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• 1994

The objective of study is to evaluate design standards related to the allowable truck speeds, taper length and sign requirements together with the operating practices and economic justification for climbing lanes. Field surveys were carried out on seven climbing lanes, three on two-lane and four on four-lane freeways. Data collected are traffic volume, speed, usage rate and delay. It is found that current design criteria for determining the length of climbing lane, taper lengths, and traffic sign requirements must be upgraded. It is also recommended that regulations on the use of climbing lane be established to make it more effective. Further, economic analysis revealed that the climbing lane is economically justified for two-lane and four-lane freeway if the AADT is over 4,577 and 5,116 vehicles respectively.

• 한국컴퓨터정보학회논문지
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• 제24권11호
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• pp.29-39
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• 2019

실생활에서의 모바일 로봇 응용이 증가하면서 저비용의 자율 주행 기능이 요구되고 있다. 본 논문은 모바일 로봇의 실내 주행 여건을 고려한 제한된 트랙을 가정하고, 제한된 트랙에서 모바일 로봇의 자율 주행을 지원하는 비젼 기반 실시간 차선 검출 및 추적 시스템을 제안한다. 다양한 형태의 차선 처리와 동작 파리미터의 사전 조정 등을 고려하여 다중 동작 모드를 가진 시스템 구조와 상태 기계를 설계하였으며, 파라미터 조정 모드에서 차선 두께의 기하학적 특성을 바탕으로 컬러 필터의 임계값을 동적으로 조정하고, 곡선 트랙의 불안정 입력 모드와 직선 트랙의 안정 입력 모드에서 차선의 기하학적 그리고 시간적 특성을 바탕으로 차선 특징 픽셀을 적응적으로 추출하고 최소제곱법으로 차선 모형을 추정한다. 추정된 차선 모형으로 트랙 중앙선을 산출하고 움직임 모형을 단순화시켜 선형 칼만 필터를 통해 추적한다. 주행 실험에서 저성능의 로봇 구성에서도 실시간 처리를 통해 제한된 트랙에서 정상적으로 자율 주행이 이루어짐을 확인하였다.

• 한국자동차공학회논문집
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• 제22권7호
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• pp.107-116
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• 2014

This paper presents camera-based road surface marking detection methods suited to sensor fusion-based positioning system that consists of low-cost GPS (Global Positioning System), INS (Inertial Navigation System), EDM (Extended Digital Map), and vision system. The proposed vision system consists of two parts: lane marking detection and RSM (Road Surface Marking) detection. The lane marking detection provides ROIs (Region of Interest) that are highly likely to contain RSM. The RSM detection generates candidates in the regions and classifies their types. The proposed system focuses on detecting RSM without false detections and performing real time operation. In order to ensure real time operation, the gating varies for lane marking detection and changes detection methods according to the FSM (Finite State Machine) about the driving situation. Also, a single template matching is used to extract features for both lane marking detection and RSM detection, and it is efficiently implemented by horizontal integral image. Further, multiple step verification is performed to minimize false detections.