• International journal of advanced smart convergence
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• 제12권4호
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• pp.88-97
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• 2023

Traffic flow prediction is of great significance in urban planning and traffic management. As the complexity of urban traffic increases, existing prediction methods still face challenges, especially for the fusion of spatiotemporal information and the capture of long-term dependencies. This study aims to use the fusion model of graph neural network to solve the spatio-temporal information fusion problem in traffic flow prediction. We propose a new deep learning model Spatio-Temporal Information Fusion using Graph Neural Networks (STFGNN). We use GCN module, TCN module and LSTM module alternately to carry out spatiotemporal information fusion. GCN and multi-core TCN capture the temporal and spatial dependencies of traffic flow respectively, and LSTM connects multiple fusion modules to carry out spatiotemporal information fusion. In the experimental evaluation of real traffic flow data, STFGNN showed better performance than other models.

• 대한토목학회논문집
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• 제35권6호
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• pp.1339-1345
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• 2015

한국은 교통안전도를 평가하기 위하여 228개 기초자치단체를 대상으로 교통안전지수를 산정하여 매년 발표하고 있다. 하지만 교통안전지수는 공간적으로 거시적인 관점에서 관련 자료를 취합하여 도출되기 때문에 개별 교통사고발생 지점의 현장상황의 파악 부재, 교통안전지수 산정기법의 정확성 및 신뢰성이 담보되지 않는 위험성, 그리고 해당 연도와 과거연도의 교통사고자료를 시계열적으로 연계하지 못하는 문제점이 존재한다. 본 연구에서는 메타분석을 이용하여 교통안전시설(도심형 중앙분리대)의 설치에 따른 시계열적 교통안전성을 부산광역시 구 군을 대상으로 거시적 관점에서 분석한 결과, 사하구, 북구, 동구, 부산진구를 제외한 모든 구 군에서 도심형 중앙분리대의 설치 후 교통사고 수가 증가한 것으로 확인되어 교통안전성의 거시적 분석의 개선에 대한 보완이 요구되는 것으로 나타났다.

• 한국재난정보학회 논문집
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• 제20권2호
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• pp.257-269
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• 2024

Purpose: The purpose of this study is to explain the pivotal role of the travel forecasting process in urban transportation planning. This study emphasizes the use of travel forecasting models to anticipate future traffic. Method: This study examines the methodology used in urban travel demand modeling within transportation planning, specifically focusing on the Urban Transportation Modeling System (UTMS). UTMS is designed to predict various aspects of urban transportation, including quantities, temporal patterns, origin-destination pairs, modal preferences, and optimal routes in metropolitan areas. By analyzing UTMS and its operational framework, this research aims to enhance an understanding of contemporary urban travel demand modeling practices and their implications for transportation planning and urban mobility management. Result: The result of this study provides a nuanced understanding of travel dynamics, emphasizing the influence of variables such as average income, household size, and vehicle ownership on travel patterns. Furthermore, the attraction model highlights specific areas of significance, elucidating the role of retail locations, non-retail areas, and other locales in shaping the observed dynamics of transportation. Conclusion: The study methodically addressed urban travel dynamics in a four-ward area, employing a comprehensive modeling approach involving trip generation, attraction, distribution, modal split, and assignment. The findings, such as the prevalence of motorbikes as the primary mode of transportation and the impact of adjusted traffic patterns on reduced travel times, offer valuable insights for urban planners and policymakers in optimizing transportation networks. These insights can inform strategic decisions to enhance efficiency and sustainability in urban mobility planning.

• 한국산업융합학회 논문집
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• 제26권4_1호
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• pp.537-543
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• 2023

According to the statistics, Korea is expected to reach a super-aged society in 2025. In preparation for an aging society, The government is making efforts to improve in social activity and welfare for the elderly people. But in case of people who live in urban-rural mixed cities, They can not benefit from traffic convenience that is essential in social activities. For example, surveys and interviews show that, The dwellers(65+ of some urban-rural mixed cities) have many restrictions on social activities because of mobility disadvantage. Therefore, We propose that expansion for the people who need to use the voucher taxi, Increase of the public bus service and rebuilding of the bus stop terminal. We are looking forward to this study will be used as basic data for transportation policy of urban-rural mixed cities across the country.

• 대한교통학회지
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• 제14권3호
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• pp.127-141
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• 1996

This paper presents a unique approach to urban traffic network signal control. This paper begins with an introduction to traffic control in general, and then goes on to describe the approach of fuzzy control, where the signal timing parameters at a given intersection are adjusted as functions of the local traffic network condition and adjacent intersection. The signal timing parameters evolve dynamically using only local information to improve traffic signal flow. The signal timing at an intersection is defined by three parameters : cycle time, phase split, off set. Fuzzy decision rules are used to adjust three parameters based only on local information. The amount of change in the timing parameters during each cycle is limited to a small fraction of the current parameters to ensure smooth transition. In this paper the effectiveness of this method is showed through simulation of the traffic signal flow in a network of controlled intersection.

• 한국안전학회지
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• 제30권2호
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• pp.70-76
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• 2015

This study deals with the traffic accident of circular intersections. The purpose of the study is to develop the accident models by traffic violation type. In pursuing the above, this study gives particular attention to analyzing various factors that influence traffic accident and developing such the optimal models as Poisson and Negative binomial regression models. The main results are the followings. First, 4 negative binomial models which were statistically significant were developed. This was because the over-dispersion coefficients had a value greater than 1.96. Second, the common variables in these models were not adopted. The specific variables by model were analyzed to be traffic volume, conflicting ratio, number of circulatory lane, width of circulatory lane, number of traffic island by access road, number of reduction facility, feature of central island and crosswalk.

• 자동차안전학회지
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• 제14권4호
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• pp.6-15
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• 2022

In this study, a traffic light recognition algorithm was implemented and validated for low-speed special purpose vehicles in an urban environment. Real-time image data using a camera and YOLO algorithm were applied. Two methods were presented to increase the accuracy of the traffic light recognition algorithm, and it was confirmed that the second method had the higher accuracy according to the traffic light type. In addition, it was confirmed that the optimal YOLO algorithm was YOLO v5m, which has over 98% mAP values and higher efficiency. In the future, it is thought that the traffic light recognition algorithm can be used as a dual system to secure the platform safety in the traffic information error of C-ITS.

• 한국안전학회지
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• 제32권3호
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• pp.123-129
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• 2017

This study deals with the traffic accident of truck at circular intersection. The purpose of this study is to develop the truck accident models based on type of accident and conflict. In pursuing the above, the study gives particular attentions to selecting the appropriate models among Poisson and Negative binomial models using statistical program LIMDEP 8.0. The traffic accident data from 2007 to 2014 are collected from TAAS data set of Road Traffic Authority. Such the dependent variable as number of truck accidents and the 24 independent variables as geometry, traffic volume and others are used. The main results are as follows. First, 5 Poisson models (${\rho}^2$ of 0.164~0.351) which are all statistically significant are selected. Second, the common variable based on type of accident and conflict is analyzed to be truck apron width. The specific variables are, however, evaluated to splitter island, area of splitter island, speed limit sign, truck apron, number approach road, circular intersection sign, speed hump and traffic volume. Finally, widening the truck apron width and improving the above specific variables are analyzed to be important for truck accident reduction at circular intersections.

• 한국안전학회지
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• 제32권5호
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• pp.129-134
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• 2017

This study aims to develop the traffic accident models by circular intersection type using count data model. The number of accident, the number of fatal and injured persons(FSI), and EPDO are calculated from the traffic accident data of TAAS. The circular intersection accident models are developed through Poisson and negative binomial regression analysis. The main results of this study are as follows. First, the null hypotheses that there are differences in the number of traffic accidents, FSI and EPDO by type of circular intersections are rejected. Second, the scale of intersection(median, large), number of approach road, mean width and length of exit road, area of the circulating roadway and central island are selected as factors influencing the number of traffic accidents, FSI and EPDO in rotary. Third, the scale of intersection(median), guide signs(limited speed, direction, roundabout), number of approach road, entry angle, area of the intersection and central island are adopted as factors influencing the number of traffic accidents, FSI and EPDO in roundabout. Finally, transferring from rotary to roundabout could be expected to make the accident decrease.

• 한국ITS학회 논문지
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• 제22권2호
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• pp.182-194
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• 2023

교통영향평가는 도시·교통 사업 시행 시에 발생할 수 있는 교통문제를 사전에 해결하는 주요한 역할을 하는 제도이지만 사업의 특성을 고려한 작성 지침과 명확한 심의 기준이 없어 심의 결과의 일관성이 떨어지는 문제점이 있다. 본 연구에서는 교통영향평가에서 심의 의결된 교통개선대책을 분석하여 심의 결과의 핵심 키워드를 찾고 교통영향평가에서 주요하게 검토해야 하는 항목을 제시하고자 한다. 이를 위해 경기도에서 심의 의결된 도시개발사업의 교통개선대책을 중심으로 TF-IDF 및 N-gram 분석을 활용한 텍스트마이닝을 하였다. 도시개발사업에 주요하게 고려되는 사항은 도로, 교차로 등 교통 기반시설의 신설이 주요한 키워드였으며 다음으로 진출입구 위치 설정, 보행 동선 연결이 주요한 사항이었다. 향후 교통영향평가 지침과 심의 기준 마련 시 본 연구에서 제시한 주요 항목을 반영함으로써, 교통영향평가의 일관성과 객관성을 높이는 심의 운영에 이용할 수 있을 것으로 기대한다.