미국의 제한속도정책 변경에 따른 교통안전 영향

양충헌 한국도로학회 2022 한국도로학회지 Vol.24 No.2

미시적 교통 시뮬레이션 모형 정산 개요

양충헌,손영태,Yang, Chung-Heon,Son, Yeong-Tae 대한교통학회 2009 교통 기술과 정책 Vol.6 No.3

고속도로 상에서의 트럭교통 관리전략에 대한 영향 분석

양충헌,손영태 한국도로학회 2009 한국도로학회논문집 Vol.11 No.2

The study analyzes likely impacts of left truck lane restriction strategies on urban freeways based on a traffic simulation model. This study contains two main parts. The first part is performed to develop feasible alternatives as well as provide insights into conditions under left truck lane restrictions would be effective based on the analysis of two representative hypothetical highways. Different levels of O– D demands and truck percentage is at least restrictions would work when maximum rate of flow is more than 1,300vphpl or truck percentage is at least over 10% of the total traffic. The second part of our study concerns a case study on a region with perhaps the highest truck volumes in the U.S. - a northbound section of Interstate 710 corridor in Los Angeles County, Southern California.The results show that restricting the two leftmost lanes under congested traffic with heavy truck use, provides the most positve impacts in terms of improving the flow of traffic and saving fuel. In addition, our study demonstrates that in general, the number of lanes estricted is a crucial factor in the success of this strategy. 본 연구에서는 미시적 교통 시뮬레이션 모형을 이용하여 대표적인 트럭관리전략 중에 하나인 트럭차로이용제한 전략의 대안을 다양한 효과 척도를 통해 평가하였다. 본 연구에서는 먼저 트럭차로 이용제한 전략이 어떠한 교통 조건, 기하구조 조건에서 긍정적인 효과를 보일 지에 대한 이해를 제공한다. 이를 위해 다양한 수준의 교통수요와 트럭비율을 주요 영향 인자로 설정하여 시뮬레이션 분석을 시행하였다. 결과적으로 본 전략이 효과를 보이기 위해서는 최대 교통류율이 1,300대/시/차로 이상 이거나 트럭차량이 전체 교통량에서 차지하는 비율이 적어도 10% 이상 되어야 한다는 것이다. 이러한 결과를 바탕으로 미국에서 가장 트럭교통량이 많은 곳 중에 하나는 710 고속도로 북쪽 방향 23마일 구간에 대해 시행 가능한 트럭차로 이용제한 대안 별로 영향 분석을 시행하였다. 결과적으로, 트럭차량이 많이 포함되어 교통이 혼잡할 때에는 편도 4차로 중 왼쪽 2차로에 대한 트럭통행을 제한한 경우 교통 흐름이 향상되고 차량 당 평균 연료 소비량이 가장 적은 것으로 나타났다. 이를 통해, 트럭차량 통행 제한 차로수의 결정은 또한 이러한 전략의 성공에 중요한 역할을 하는 요소임을 증명하였다.

재난 · 재해 시 대피 및 우회차량 경로 제공 알고리즘 개발

양충헌,손영태,양인철,김현명 한국도로학회 2009 한국도로학회논문집 Vol.11 No.3

The transportation network is a critical infrastructure in the event of natural and human caused disasters such as rainfall, snowfall, and terror and so on. Particularly, the transportation network in an urban area where a large number of population live is subject to be negatively affected from such events. Therefore, efficient traffic operation plans are required to assist rapid evacuation and effective detour of vehicles on the network as soon as possible. Recently, ubiquitous communication and sensor network technology is very useful to improve data collection and connection related emergency information. In this study, we develop a specific algorithm to provide evacuation route and detour information only for vehicles under emergency situations. Our algorithm is based on shortest path search technique and dynamic traffic assignment. We perform the case study to evaluate model performance applying hypothetical scenarios involved terror. Results show that the model successfully describe effective path for each vehicle under emergency situation. 교통공학 분야에서 비상사태와 기후 변화로 인한 교통망의 영향을 연구하는 주제는 많은 관심을 받고 있다. 특히, 많은 인구가 거주하고 있는 도심지역 교통망에 대해서는 비상사태에 대응하기 위한 적절한 교통운영관리 대책이 필요하다. 이를 위해 교통망 수요와 공급에 비정상적인 상황이 발생했을 때, 영향권 내에 있는 차량들의 신속한 대피와 그 근방 지점으로 접근하는 차량들에 대한 우회 경로 정보 제공 전략 개발을 위한 다양한 시뮬레이션 모형이 개발되어 왔다. 비상사태의 특성에 따라 요구되는 교통운영관리 전략 및 대응방안이 달라지는 것이 일반적이다. 이에 대한 연구의 일환으로 최근 들어 유비쿼터스 (ubiquitous) 통신 및 센서네트워크 기술을 적용하여 비상사태 발생 시 개별 맞춤 정보 제공을 통해 교통운영관리의 실효성을 증진하기 위한 방안이 개발 중에 있다. 신속하고 정확한 비상사태 관련정보의 수집, 연계, 제공으로 교통운영관리에 대한 관리기반을 확보하고, 보다 체계적인 교통운영의 상황조치와 모니터링으로 교통운영관리의 시스템 안전성을 유지하는 것이다. 본 연구에서는 이에 필요한 핵심 사항 중 비상사태 발생 시 차량에 대한 대피 및 우회정보 제공을 위한 알고리즘을 개발하였다. 본 연구에서 개발된 알고리즘은 비상사태 발생 시 교통망에 근거한 동적 대피 및 우회 경로 제공을 위해 동적 최단경로 탐색기법과 동적 통행배정모형을 기반으로 하였다. 이를 서울시 강남구 도로망에 적용하였고 가상 시나리오 (테러 발생) 에 따라 모형의 성능을 평가하였다.

노면온도 변화 패턴의 신뢰성 검증 및 노면온도에 근거한 도로구간 분할 방법 연구

양충헌,윤천주,김진국,박재홍,윤덕근 한국도로학회 2016 한국도로학회논문집 Vol.18 No.4

PURPOSES: This study evaluates the reliability of the patterns of changes in the road surface temperature during winter using a statistical technique. In addition, a flexible road segmentation method is developed based on the collected road surface temperature data. METHODS: To collect and analyze the data, a thermal mapping system that could be attached to a survey vehicle along with various other sensors was employed. We first selected the test route based on the date and the weather and topographical conditions, since these factors affect the patterns of changes in the road surface temperature. Each route was surveyed a total of 10 times on a round-trip basis at the same times (5 AM to 6 AM). A correlation analysis was performed to identify whether the weather conditions reported for the survey dates were consistent with the actual conditions. In addition, we developed a method for dividing the road into sections based on the consecutive changes in the road surface temperature for use in future applications. Specifically, in this method, the road surface temperature data collected using the thermal mapping system was compared continuously with the average values for the various road sections, and the road was divided into sections based on the temperature. RESULTS : The results showed that the comparison of the reported and actual weather conditions and the standard deviation in the observed road surface temperatures could produce a good indicator of the reliability of the patterns of the changes in the road surface temperature. CONCLUSIONS: This research shows how road surface temperature data can be evaluated using a statistical technique. It also confirms that roads should be segmented based on the changes in the temperature and not using a uniform segmentation method.

Another View of Freight Forecasting Modeling Trends

양충헌,Amelia C. Regan,손영태 대한토목학회 2010 KSCE JOURNAL OF CIVIL ENGINEERING Vol.14 No.2

This paper reports on current freight forecasting models used inside and outside of the U.S. Our study first classifies available models into seven classes, and describes important modeling concepts and case studies applying these models. Our study summarizes primary independent variables (inputs) and outputs for these freight models in order to help understand the current status of freight forecast modeling. In addition, we found that a common characteristic of the case studies shows that freight modeling is not always done as a single project at one point in time nor do the most successful studies rely on a single class of the model. Due to resource constraints or evolving freight needs, public agencies can opt to stage their freight model development or combine and remove portions of certain classes as they see fit. Our paper concludes by discussing three types of hybrid models involving commodity supply chains, urban logistics tours, and economic tours which are considered for the future modeling trends.

국내도로제설현황 및 개선방안

양충헌 한국방재학회 2017 한국방재학회지 Vol.17 No.1

계층분석법을 이용한 도로관리장비 운영의 효율성 평가

양충헌,김인수 한국도로학회 2012 한국도로학회논문집 Vol.14 No.5

PURPOSES: Regional offices of the Ministry of Land, Transport and Maritime Affairs use a computerized system called KAMIS so as to manage road equipment systematically. Road agencies can record number of operating days by equipment, actual working hours, accumulated operating hours (or distance) by equipment, and operating cost. However, KAMIS does not provide critical information, although it is strongly related to efficient road management equipment operation. In other words, road agencies do not know whether they have sufficient equipment to handle their actual work. METHODS : Therefore, this study suggests a methodology to evaluate for operational efficiency of road management equipment using analytical hierarchy process(AHP). First of all, estimated weights related criteria can be produced by AHP, and then use operational history by pieces of equipment. RESULTS: Results show that importance of management work can differ from weather conditions through five areas. CONCLUSIONS: Commonly, this results can imply to help save money for the purchase and maintenance of road management equipment,and they would improve the functional performance of KAMIS.

RWIS 설치를 위한 우선순위 선정 기법에 관한 연구

양충헌,김인수,전우훈 한국도로학회 2012 한국도로학회논문집 Vol.14 No.6

PURPOSES : This paper presents how to determine priorities of RWIS installation on national highways within the limited budget. METHODS : Analytical hierarchy process was employed to develop the entire methodology. In addition to this, various data such as vulnerable roadway section for snow removal, RWIS, AWS, AADT, and traffic accident were properly collected and analyzed for the future analysis. Then, GIS analysis was performed to find out the final candidate vulnerable roadway section for snow removal. In the end, expert survey was conducted to estimate weights for evaluation criteria. RESULTS : Results showed that metropolitan area has the most high priority, and Gangwon area, ChungCheung, and Honam in order. CONCLUSIONS : The main contribution of this paper is to suggest a logical methodology to prioritize RWIS installation within the limited budget, and thus snow removal operation during the winter season can improve in terms of getting more valuable information.

기하구조 및 기상조건에 따른 교통류 행태 변화에 대한 연구

양충헌,손영태,김영호,김영춘,Yang, Chung-Heon,Son, Yeong-Tae,Kim, Yeong-Ho,Kim, Yeong-Chun 대한교통학회 2009 교통 기술과 정책 Vol.6 No.3