• Proceedings of the KOR-KST Conference
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• 1996.12a
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• pp.17-40
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• 1996

본 연구에서는 거시적 연속교통류 모형에 바탕을 둔 도시고속도로로 시뮬레이션모형의 개발이 시도되었다. 이 모형은 simple continuum model에 통행수요모형 기능을 강화시킨 것으로서 기존 연속교통류 시뮬레이션모형의 단점을 개선하였다. 제안된 시뮬레이션모형은 정산과정을 거쳐 미국 도시고속도로에서 수집한 현장자료에 의해 평가되었다. 특히 링크의 목적지별 차량대수 추정, 실시간 O-D추정의 문제가 확장칼만필터의 형태로 접근되었으며, 개발된 시뮬레이션모형을 ATMS전략에 활용하는 방안이 개발·평가되었다. 이들 전 과정을 통합한 모수적응적 모형(Parameter Adaptive Model)에 의해 교통량을 실시간으로 예측(Real time traffic prediction)하는 방법을 제안하였으며 현장자료에 의해서 평가되었다.

• Proceedings of the KOR-KST Conference
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• 1998.10a
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• pp.398-407
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• 1998

본 연구는 도시고속도로의 교통사고감소를 이한 정성적인 척도를 제시하고자 한다. 본 연구에서는 도시고속도로에서 발생하고 있는 교통사고의 일반적 특성을 분석하였으며, 교통사고 발생요인과 운전자 원인과 교통사고형태와의 영향정도를 수량화이론 II류를 사용하여 분석하였다. 분석에 사용된 정성적인 자료는 1994년부터 1995년까지의 대구시 신천대로의 교통사고자료를 대상으로 하였으며, 경찰청의 교통사고보고서를 기초로 하였다. 분석결과, 70%이상의 교통사고가 운전자의 안전거리미확보와 안전운전의무위반에 의한 추돌사고였으며, 외적기준인 운전자 원인과 교통사고형태에 영향을 많이 미치는 요인으로서는 사고직전의 피해자 진로, 사고발생차선, 시간대, 차종 등의 영향이 깊은 것으로 나타났다.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2004.11a
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• pp.233-238
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• 2004

In this study, speed survey has been conducted on Pusan Freeway to identify actual running speed. therefore, suggest that Highway Design Regulations and Highway Design Standard from Ministry of Construction and Transportation, which requires stopping sight distance for 20% less speed when rainy condition in accordance with Highway Safety Act, is not coincident with driver's characteristics. Consequently, it is prudent to compute stopping sight distance with 85th percentile running speed, considering driver's actual behavior and mountainous terrain.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2002.05a
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• pp.121-127
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• 2002

고속도로(고속도로)란 지역과 지역을 연결한 간선도로로 장거리 통행을 주교통으로하여 지정된 진출입외에는 완전히 출입을 제한한 자동차 전용도로이다. 영문으로는 Freeway, Expressway, Motorway등으로 표기한다. 고속도로 건설은 정부 투자 기관인 한국도로공사(Korea Highway Corporation)에서 공사를 발주하여 주로 대형건설업체들이 시공하고 있으며, 이에 대한 시공관리는 대개 도로공사 건설사업소 단위로 시행하고 있다.(중략)

• International Journal of Highway Engineering
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• v.18 no.6
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• pp.161-171
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• 2016

OBJECTIVES : Many roadway departure crashes on the freeway interchange are due to the running speed being greater than the design speed. This study aims to ensure a safe and pleasant driving experience for the driver by increasing the superelevation based on the running speed on the highway interchange ramp. METHODS : The mean running speed for each type of ramp is calculated on site survey more than 10 interchanges. Using the mean running speed, we calculated the superelevation and the side friction using the method given in "A Policy on Geometric Design of Highways and Street" (Pages 145-166, 2001). Then, we applied the modified method to the superelevation range. Finally, we ensured safety using the Degree of Safety that is proven by the centrifugal acceleration ratio as suggested by Joseph Craus (1978). RESULTS : The mean running speeds are 50 km/h and 65 km/h when the design speeds are 40 km/h and 50 km/h, respectively. After the application of the new method used in this study, the superelevation will be increased by 9.0% and 10.0% when the mean running speeds are 50 km/h and 65 km/h, respectively. CONCLUSIONS : A higher superelevation can give the driver a more comfortable and safe driving environment. However, the driver needs to be aware of snow and low-temperature conditions.

• International Journal of Highway Engineering
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• v.13 no.2
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• pp.49-56
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• 2011

Understanding various casual factors affecting the occurrence of freeway traffic crash is a backbone of deriving effective countermeasures. The first step toward understanding such factors is to identify crash risks on freeways. Unlike existing studies, this study focused on the unsafe vehicle maneuvering that can be detected by in-vehicle sensors. The recent advancement of sensor technologies allows us to gather and analyze detailed microscopic events leading to crash occurrence such as the abrupt change in acceleration. This study used an accelerometer to capture the unsafe events. A set of candidate variables representing unsafe events were derived from analyzing acceleration data obtained by the accelerometer. Then, the crash risk was modeled by the binary logistic regression technique. The probabilistic outcome of crash risk can be provided by the proposed model. An application of the methodology assessing crash risk was presented, and further research items for the successful field implementation were also discussed.

• International Journal of Highway Engineering
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• v.13 no.2
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• pp.175-185
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• 2011

Geometric information is a key element for evaluating traffic safety and road maintenance. This study developed an algorithm to identify horizontal alignment using global positioning system(GPS) and inertial navigation system(INS) data. Roll and heading information extracted from GPS/INS were utilized to classify horizontal alignment into tangent, circular curve, and transition curve. The proposed algorithm consists of two components including smoothing for eliminating outlier and a heuristic classification algorithm. A genetic algorithm(GA) was adopted to calibrate parameters associated with the algorithm. Both freeway and rural highway data were used to evaluate the performance of the proposed algorithm. Promising results, which 90.48% and 88.24% of classification accuracy were obtainable for freeway and rural highway respectively, demonstrated the technical feasibility of the algorithm for the implementation.

• Journal of Korean Society of Transportation
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• v.23 no.7 s.85
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• pp.125-136
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• 2005

The goal of this paper is to develop freeway Origin-Destination (OD) demand estimation model using VDS and AVI data. The formulation of methodology proposed in this paper includes traffic flow technique to be able to remove the bi-level problem and optimal solution algorithm using a kalman filter algorithm. The proposed dynamic OD estimation model use ilk and off-ramp volumes collected from VDS and partial OD collected from AVI data to raise the accuracy of dynamic OD estimation. The proposed model is evaluated by using the real-time data of SOHAEAN freeway, South Korea. The result of the proposed dynamic OD estimation model based on VDS and AVI data is better than that of based on VDS data. The more AVI systems are equipped at on and off-ramp, the more excellent result of estimation accuracy is expected.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.11 no.2
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• pp.19-27
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• 2008

Ecosystem fragmentation by human intervention breaks down the biosphere habitat. Wildlife corridors connect biosphere habitats to maintain ecosystem continuity and provide animals with connecting routes. In Korea, there are 17 existing wildlife corridors on highways (as of December, 2006. Korea Freeway Corporation). There are 24 highway routes, 2,923km of highway(as of December, 2004. Korea Freeway Corporation). However, wildlife corridors are not enough and roadkill increases every year, so we need to construct additional wildlife corridors on highways. This study proposes a new approach to the location of wildlife corridors on highways, using a comprehensive analysis method for main location elements, and applies it to a study area. First, it examines traditional approaches to location of wildlife corridors through literature review and field study to analyze the present conditions of existing wildlife corridors. Then, it developes a comprehensive analysis method for the location of wildlife corridors. (1) Field investigation : investigate planting, water bodies and so on. (2) Roadkill analysis : roadkill counts, locations, time, and so on. (3) Monitoring : animal traces were surveyed and sensor cameras were installed to determine target species. (4) Simulation for animal movement : most probable wildlife dispersal was simulated by a computer software. (5) A new comprehensive approach overlays all analysis on a map and determines the location of proposed new wildlife corridors. In conclusion, it proposes an over-bridge type wildlife corridor in Dalnaenae Hill (413-414km from Busan) and an underpass type near the entrance to Gwanhyun temple way (415-416km from Busan). This new approach based on roadkill data, computer simulation of wildlife dispersal, monitoring of animals, and site analysis, may contribute to better location of wildlife corridors on highways.

• International Journal of Highway Engineering
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• v.13 no.4
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• pp.199-209
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• 2011

In the study of traffic safety, the analysis on factors affecting crash severity and the understanding about their relationship is important to be planning and execute to improve safety of road and traffic facilities. The purpose of this study is to develop a hierarchical binomial logistic model to identify the significant factors affecting fatal injuries and vehicle damages of traffic crashes on freeway. Two models on death and total vehicle damage are developed. The hierarchical structure of response variable is composed of two level, crash-occupant and crash-vehicle. As a result, we have gotten the crash-level random effect from these hierarchical structure as well as the fixed effect of covariates, namely odds ratio. The crash on the main line and in-out section have greater damage than other facilities. Injuries and vehicle damages are severe in case of traffic violations, centerline invasion and speeding. Also, collision crash and fire occurrence is more severe damaged than other crash types. The surrounding environment of surface conditions by climate and visibility conditions by day and night is a significant factor on crash occurrence. On the orher hand, the geometric condition of road isn't.