PURPOSES: Because expressway ramps are very complex segments where diverse roadway design elements dynamically change within relatively short length, drivers on ramps are required to drive their cars carefully for safety. Especially, ramps on expressways are designed to guarantee driving at high speed so that the risk and severity of traffic accidents on expressway ramps may be higher and more deadly than other facilities on expressways. Safe deceleration maneuvers are required on off-ramps, whereas safe acceleration maneuvers are necessary on onramps. This difference in required maneuvers may contribute to dissimilar patterns and severity of traffic accidents by ramp types. Therefore, this study was aimed at developing prediction models of the severity of traffic accidents on expressway on- and off-ramps separately in order to consider dissimilar patterns and severity of traffic accidents according to types of ramps. METHODS: Four-year-long traffic accident data between 2007 and 2010 were utilized to distinguish contributing design elements in conjunction with AADT and ramp length. The prediction models were built using the negative binomial regression model consisting of the severity of traffic accident as a dependent variable and contributing design elements as in independent variables. RESULTS: The developed regression models were evaluated using the traffic accident data of the ramps which was not used in building the models by comparing actual and estimated severity of traffic accidents. Conclusively, the average prediction error rates of on-ramps and offramps were 30.5% and 30.8% respectively. CONCLUSIONS: The prediction models for the severity of traffic accidents on expressway on- and off-ramps will be useful in enhancing the safety on expressway ramps as well as developing design guidelines for expressway ramps.

최근 실시간으로 모션블러(motion blur)를 위한 연구들은 픽셀당 여러개의 시간 색상을 계산 한 후 평균내는 방식으로 샘플의 수가 적을 경우 아티펙트(artifacts)나 노이즈(noise)가 발생하 는 문제를 가지고 있다. 본 논문은 이러한 문제를 개선하기 위해서 이동궤적 근사 다면체 (motion trail)를 이용한 실시간 모션블러 알고리즘을 제안한다. 본 논문의 알고리즘에서는 현재 프레임과 이전프레임의 삼각형으로 이동궤적 근사 다면체를 만들고 전후 관계(front-to-back) 정렬방법과 시공간차원의 비트연산(bitwise operation)을 적용하여 여러 물체가 겹치는 순간의 가시성 문제를 해결했다. 결과적으로 가려지지 않은 이동궤적 근사 다면체만을 그리기에 매끄 러운 블러 효과를 얻는다.