• Proceedings of the Korean Society of Disaster Information Conference
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• 2015.11a
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• pp.199-200
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• 2015

도시부 교차로의 설계는 지방부 교차로와 근본적으로 달라야 하나, 현행 도시부 교차로 설계는 지방부 교차로 설계기준을 준용하고 있다. 본 연구는 도시부 및 지방부 교차로의 차이점을 비교 분석하고, 국내외 교차로 종단경사 설계기준을 검토한 후 적정 설계기준(안)을 적용한 후, 이를 통계적 분석기법을 활용하여 검증하여 설계기준을 정립하는 순으로 진행 하였다. 분석결과 정면충돌사고율과 차대차추돌사고율이 종단경사와 상관관계가 있는 것으로 나타났다. 이러한 연구를 통해 적정 교차로 종단경사를 적용한 설계가 이루어져야 함을 확인 할 수 있었다.

• Proceedings of the Korea Contents Association Conference
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• 2010.05a
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• pp.322-324
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• 2010

교통량이 적은 신호교차로에서는 신호에 의한 불필요한 지체가 발생하는 경우가 많다. 특히 지방부 신호교차로의 경우 불필요한 신호 대기로 인해 운전자가 신호위반을 하거나 불필요한 지체를 경험하게 된다. 이를 해결하기 위한 방안으로 비교적 교통량이 적은 신호교차로를 회전교차로로 운영하여 해결할 수 있다. 본 연구에서는 지방부에 설치된 신호교차로를 분석하고 이를 회전교차로로 개선하였을 경우 그 효과를 비교분석하였다. 분석 결과 지체감소 효과가 있었으며, 통행시간 및 평균속도의 증가를 가져오는 것을 확인하였다. 또한 안전성 측면에서 교차로 상충횟수도 감소하는 것을 확인하였다.

• Proceedings of the KOR-KST Conference
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• 2007.11a
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• pp.315-322
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• 2007

신호교차로 교통사고는 90년대 이후 도시가 발달하고 산업이 고도화됨에 따라 교통 혼잡 문제와 함께 심각한 사회문제로 대두되고 있다. 특히 신호교차로의 교통사고는 인적요인, 차량요인, 환경적 요인 등이 복합적으로 작용하여 발생하는데, 교통량의 집중과 도로의 기하구조, 운전자 과실 등이 교통사고의 주요 인자로 작용하고 있다. 본 연구에서 교통사고 예측모형을 개발하기 위해서 2003년부터 2006년도까지 실제 경기도의 신호교차로에서 발생한 교통사고자료를 기초로 하였다. 구체적으로는 시내가 아닌 지방부 성격을 지닌 일반국도를 대상으로 하였다. 지방부 일반국도의 신호교차로 교통사고 분석에 단순통계분석과 다중회귀분석을 사용하였다. 사고와 관계가 높은 신호주기, 방향별 접근 교통량, 회전교통량 둥과 같은 도로, 교통, 운영조건들로 변수를 정하여 교통사고 예측모형을 도출하였다. 본 연구에서는 도로조건, 교통조건, 운영조건들과 사고와의 관계를 이용하여 경기도 일반국도의 신호교차로 교통사고예측모형을 개발하였고, 이는 지방부 성격을 지닌 교차로에 적용이 가능하다고 판단된다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.1
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• pp.187-192
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• 2015

In general, design of urban intersections are fundamentally different from rural intersections, but current urban intersection design has been appled to rural standards. This study has suggested the design standard for urban intersection grades based on the existing literature, field investigating and comparative analysis. Moreover, this study analyzes and compares the differences between urban and rural intersections, and intersections have been derived by appropriate design standards after reviewing the domestic and international grades design criteria. Site survey was performed to validate the derived design criteria by analyzing statistically to establish the design standards. Results were produced for the intersection portion grade standards by comparing the number of instructions which produced appropriate slope degree from 2.5% to 3% in normal condition and slope can be extended to 5% in some critical cases. In-situ investigation was performed to validate the produced data where slope was found from 0.0~8.6%. Additional data of accident analysis were also collected for the validation of the suggested data and correlation analysis was performed using the SPSS tool. Data were analyzed statistically using 95% significance level for vehicle-to-vehicle collided, head-on collision accident rates, where accident rates significantly correlated with the grade. Therefore, appropriate grade at the intersection should be designed and applied in order to reduce the number of accidents at the intersection. Finally, appropriate grades for urban intersections are suggested from 1-3% for normal cases and grades could extend up to 5% for unavoidable cases where extra care must be taken when designing.

• International Journal of Highway Engineering
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• v.12 no.3
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• pp.49-57
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• 2010

This case study investigated red light violations at CBD, suburban and rural signalized intersections in chungbuk. The goal of this study is to understanding the collection between red light violations and various driver, vehicles and environmental factors. This study uses descriptive statistics analysis and logistics analysis with SPSS 12.0 software. The major results of this study are as follows. First, red light violations occurred at rural and CBD more than suburban area. Second, About 81.1% of the violators were traveling at or below the posted speed limit. Moreover, 77.3% of the violations occurred within 2 seconds after the on set of red light. Finally, the logistic regression model, which is statistically significant(chisquare=0.000, McFadde=0.265)was developed, and includes the local type(CBD/suburban/rural), violators' gender, season, vehicle type, time of day, vehicle speed as the independent variables. In this study did not find significant relationship between red light violators' age and their driving behavior approaching signalized intersections.

• Journal of Korean Society of Transportation
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• v.26 no.2
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• pp.35-46
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• 2008

The purposes of this study are to analyze the characteristics and to develop the models of traffic accidents. In pursuing the above, this study gives particular attentions to developing the models(multiple linear, poisson and negative binomial regression) using the data of Cheongju and Cheongwon signalized intersections. The main results analyzed are as follows. First, the accident characteristics of rural area were defined by factor. Second, 4 accident models which are all statistically significant were developed. Finally, such the variables as $X_2$ and $X_{11}$ were evaluated to be specific variables which reflect the characteristics of rural area.

• Journal of Korean Society of Transportation
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• v.27 no.3
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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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• v.34 no.2
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• pp.123-134
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• 2016

Traffic accident at intersections takes 44.3% of total number of accidents on entire road network of Korea in 2014. Although several studies addressed contributory factors of accidents at signalized intersection, very few is known about the factors at rural unsignalized intersections. The objective of this study is therefore to investigate specific characteristics of crashes at rural unsignalized intersection and to identify contributory factors in causing crashes by statistical approach using the Ordered Logistic Regression Model. The results show that main type of car crashes at unsignalized intersection during the daytime is T-bone crashes and the number of crashes at 4-legged intersections are 1.53 times more than that at 3-legged intersections. Most collisions are caused by negligence of drivers and violation of Right of Way. Based upon the analysis, accident severity is modeled as classified by two types such as 3-legged intersection and 4-legged intersection. It shows that contributory factors in causing crashes at rural unsignalized intersections are poor sight distance problem, average daily traffic, time of day(night, or day), angle of intersection, ratio of heavy vehicles, number of traffic violations at intersection, and number of lanes on minor street.

• International Journal of Highway Engineering
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• v.10 no.3
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• pp.47-56
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• 2008

Generally, accident exposure at intersections is relatively higher than that at roadway segments due to more possibility of merging, diverging, turning, crossing, and weaving maneuver. Furthermore, the traffic accident rate at intersections has been rapidly increasing since 1990's. Since there is more opportunity of conflict at unsignalized intersection, frequency and severity of traffic accident are more severe than signalized intersections. The purpose of the study is to analyze factors causing vehicle crashes and provide intersection design guidelines to improve intersection safety. For this study, vehicle to vehicle crash data of 116 rural 3 legs unsignalized were collected and field surveys were conducted for traffic and geometric conditions. Ordered probit models were developed to analyze the severity of crashes. It was found that weather, obstacles in minor roadsides, presence of major exclusive right lane, presence of major road crosswalk, difference between posted speed of major road and minor road, land-use around intersections, shoulder width of major road, ADT of major road are significant factors for intersection safety.

• International Journal of Highway Engineering
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• v.10 no.4
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• pp.53-63
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• 2008

Even though accident frequencies in roadway segments have been decreasing since 2000, there has been increasing the number of vehicle crashes at intersections. Due to this increase, safety problems at intersection recently started to be regarded as significant issues. The purpose of this study is to analyze the effects of road conditions, traffic operational conditions, and other influencing condition on intersection safety. Then a traffic accident frequency prediction model to evaluate the safety at intersections was developed based on the correlations between influencing factors and vehicle crashes. In this research, critically significant factors affecting vehicle crashes at rural four-legs signalized intersections were investigated. It was found that Poisson regression was the best fit method to developing a accident frequency modeling using the collected data in this study. Through this study, it was concluded that exclusive left turn lane, crosswalk, posted speed, lighting, angle, and ADT are significant influencing factors on the intersection safety.