• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.298-301
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• 2014

최근까지의 교통사고 통계에 따르면 주간 보다는 야간에 더 많은 사고가 발생하며, 사고 원인 중 하나는 부적절한 조명 시설로 인한 시야 미확보, 눈의 피로감 증가가 중요한 요소이다. 본 논문에서는 스마트폰 기반으로 야간 도로 밝기 측정 어플리케이션을 구현하여 야간에 부적절한 조명 시설이 설치된 지점을 파악하기 위해서 위치 정보와 밝기 정보, 이동 방향 정보를 실시간으로 데이터베이스에 저장하여 모니터링해주는 시스템을 설계 및 구현하였다. 이를 위해, 안드로이드 NDK을 이용하여 Native 환경에서 차선 검출 및 RGB 색 공간의 값을 휘도 값으로 변환 알고리즘을 작성하였다. 또한 스마트폰의 카메라를 이용하여 실시간으로 도로 영상을 입력 받은 후 ROI 설정 하여 연산 속도를 향상시켰고, 차선 검출을 통해 차선 사이의 도로 밝기 정보를 획득하고 GPS 센서를 이용하여 이동 방향 정보와 위치 정보를 획득하여 데이터베이스에 저장하였다. 어플리케이션 사용자들의 주행 정보를 바탕으로 도로 밝기 값 데이터베이스를 활용하여 눈부심 및 조명관련 사고 위험 구간을 자동으로 알려주는 후속 연구를 진행할 수 있을 것으로 기대한다.

• Korea journal of population studies
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• v.22 no.2
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• pp.97-119
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• 1999

한국, 일본, 미국의 생명표, UN의 인구연감, WHO의 세계보건통계연감 등 공식통계를 활용하여, 한국 노인의 기대여명 및 사망원인별 사망력을 미국 및 일본과 비교하여 파악하고 있다. 한국 노인의 기대여명은 미일보다 빠른 속도로 증가하고 있는데, 1970년대 중반 이후는 미국처럼 여자보다 남자 노인의 기대여명 증가가 빠르면서, 남녀 노인의 기대여명 차가 감소하고 있다. 1997년 현재 65세시 기대여명은 남자 13.64세, 여자 17.26세로 남녀간 3.62세 차이를 보이며, 출생후 남자 72%, 여자 88%가 65세까지 생존한다. 노인의 주요 사인은 미일과 마찬가지로 순환기계질환 및 악성신생물인데, 순환기계질환중 한일은 뇌혈관질환이, 미국에서는 허혈성 심장질환이 노인의 주된 사망원인이 된다. 한국 남녀 노인의 연령층과 상관없이 허혈성 심장질환 및 폐렴 사망률은 미일보다 낮고, 뇌혈관질환, 고혈압성질환, 위암, 간암, 결핵, 당뇨병, 정신 및 행동장애, 간질환 및 교통사고 사망률은 미일보다 높다. 대부분의 사망원인에서 남자사망률이 여자사망률보다 높지만, 한국의 고혈압성 질환, 간암, 폐암 및 간질환에 의한 성별 사망률 격차가 미일보다 크며, 한미일 모두 75세 이상 노인의 정신 및 행동장애에 의한 여자 사망률보다 남자사망률보다 높게 나타난다. 사망원인 생명표 작성결과를 보면, 1997년 현재 한국의 65세 남성과 여성은 순환기계질환 제거시 각각 3.47년과 2.7년을, 악성신생물 제거시 각각 3.87년과 1.58세의 기대여명 증가를 예상할 수 있고, 일본에 비해 특정 사인을 제거시 상대적으로 많은 기대여명 증가를 기대할 수 있는 사망원인은 남자 노인의 간질환 및 교통사고를 들 수 있다.

• The Korean Journal of Applied Statistics
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• v.32 no.6
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• pp.851-865
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• 2019

Discovering various features from one time series is complicated. In this paper, we introduce a multi aggregation prediction algorithm (MAPA) that uses the concepts of temporal aggregation and combining forecasts to find multiple patterns from one time series and increase forecasting accuracy. Temporal aggregation produces multiple time series and each series has separate properties. We use exponential smoothing methods in the next step to extract various features of time series components in order to forecast time series components for each series. In the final step, we blend predictions of the same kind of components and forecast the target series by the summation of blended predictions. As an empirical example, we forecast traffic accident counts using MAPA and observe that MAPA performance is superior to conventional methods.

• Journal of Korean Society of Transportation
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• v.32 no.3
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• pp.207-217
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• 2014

Many a number of policies have been tried to reduce auto accidents so far, but it is obvious that further studies are still needed to find a more fundamental and multi-dimensional preventive measure with effect. The National Mental Health Statistics shows that the most profound forms of negative emotions, that is, depression and anxiety, have been increasing, but studies on such a topic are scarce to find. Therefore, we conducted a structural analysis between the negative emotions, including depression and anxiety, of drivers and their driving behaviors using a Structural Equation Modeling(SEM) technique. The review of past literature and studies indicated that not all of human emotions manifest themselves as the ultimate behaviors because they go through emotion regulation Strategies. For this reason, the purpose of this study was set to analyze the structural model developed in this study reflecting the emotion regulation strategies. The result of our analysis showed that the driver's negative emotion had a more significant influence on dangerous driving behaviors than safe ones, and especially, the expressive suppression strategy was found to be the highest factor. Also, the total effect analysis with the negative emotional factors showed that expressive suppression had more significant influence compared to that of cognitive reappraisal. The implication of this study might provide a better understanding on driving behaviors of the drivers and could be used as a fundamental study for future policy development to reduce traffic accidents.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2007.04a
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• pp.65-68
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• 2007

고속국도 및 일반국도 인터체인지부의 설계속도를 분석하기 위하여 현재 적용되고 있는 국내의 설계기준 즉, 도로의 구조 시설기준에 관한 규칙 및 도로설계편람, 도로설계요령, 도로설계기준, 국도설계기준을 검토하고, 국외의 설계기준을 참고하여 국내기준과 비교 검토하였다. 고속도로 교통사고 통계(2006)를 통하여 사고 다발지점을 선정, 원인을 분석하고 램프 유형별, 허용속도별 전국의 입체교차로를 대상으로 주행속도를 계측하였으며, 그 결과로부터 입체교차로의 Loop Ramp 접속부의 적정 설계속도를 제안하였다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.3
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• pp.1-17
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• 2018

Over the past five years (2010-2014), the total number of traffic accidents has decreased from 226,878 to 223,552 with decrease of 0.37 percent each year. The death toll has also decreased from 5,505 to 4,762. However, the number of rental car accidents and fatalities has been steadily increased. Despite of its growth, no previous study has been conducted on rental car accident severity. This study analyzed data of 18,050 rental car accidents in South Korea collected from 2010 to 2014 and then processed in order to identify which factors could affect the accident severity. Seventeen factors related to rental car accident severity were grouped into four categories: driver, vehicle, roadways and environment. As a result of the ordered probit model analysis, fourteen variables excluding age, intersection, and day of week were found to affect the severity of rental car accidents. The results of the study summarized as follows. First of all, violation of traffic regulations such as speeding increase the severity of rental car accidents. Secondly, rental accident severity is higher at curved sections of complicated roadway, which the driver's field of view is impaired. The results of this study can be used to reduce the severity of rental car accidents in transportation safety.

• Journal of the Korean Society of Marine Environment & Safety
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• v.18 no.5
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• pp.431-438
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• 2012

The representative risk evaluation techniques of the marine traffic environment are the FSA, PAWSA, & IWRAP. For the development of these techniques, the risk factors suitable to the marine traffic environment should be selected & the assessment criterion of the risk factors should be provided. The risk factors were selected as the factors that relate both to the frequency of casualty & to the consequence of casualty because the risk was defined as the frequency of casualty times the consequence of that casualty on the existing techniques. But, the risk factors relate to the consequence of casualty are excluded because the risk is defined as the sum of the risk factors including the frequency and the consequence by factors on this study. The 20 kinds of risk factors to compose the risk are selected and classified into 5 categories according to similar nature through the analysis of preceding study on the classification of the risk factors. Finally, as the foundation of risk assessment model's development for domestic marine traffic environment, the practical assessment criterion of the risk factors are suggested.

• Journal of Korean Society of Transportation
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• v.31 no.3
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• pp.19-32
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• 2013

The study aims to find the characteristics of children's crossing behavior on crosswalk in school zones. It considers accident occurrence and physical form of school zones. Seven elementary school zones were investigated. Using data collected by field observation and video recording, statistical analysis, CHAID algorithm analysis, and pattern analysis were performed. As a result, it was found that children's waiting, attention and distraction were related to the accident occurrence. While 69.1% children showed waiting-before-crossing behavior in low-accident occurrence crosswalk, 83.6% children showed non waiting-before-crossing behavior in high-accident occurrence crosswalk. Moreover, the ratio of waiting, attention behavior was found to be higher when the width of the crosswalk was wide and the distance from the school's entrance to the crosswalk was long. These research findings showed that children's behavior-oriented approach was required to improve safety in school zone.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.3
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• pp.73-87
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• 2023

Furnishing traffic safety information can contribute to providing hazard warnings to drivers, thereby avoiding crashes. A smart road lighting platform that instantly recognizes road conditions using various sensors and provides appropriate traffic safety information has therefore been developed. This study analyzes the short-term traffic safety improvement effects of the smart road lighting's tunnel traffic safety information service using surrogate safety measures (SSM). Individual driving behavior was investigated by applying the vehicle trajectory data collected with RADAR in the Anin Avalanche 1 and 2 tunnel sections in Gangneung. Comparing accumulated speeding, speed variation, time-to-collision, and deceleration rate to avoid the crash before and after providing traffic safety information, all SSMs showed significant improvement, indicating that the tunnel traffic safety information service is beneficial in improving traffic safety. Analyzing potential crash risk in the subdivided tunnel and access road sections revealed that providing traffic safety information reduced the probability of traffic accidents in most segments. The results of this study will be valuable for analyzing the short-term quantitative effects of traffic safety information services.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.1
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• pp.1-15
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• 2011

The RLC systems is one of the intelligent transportation systems that has gained a nation-wide support for last decades and being installed to discourage motorists from running the red lights at signalized intersections. It is taken for granted that the RLC will provide motorists with increased safety, so that their installments are always justifiable. However, in order to acquire more efficiency and wider supports from the general public in future RLC installments, an improved methodology for analyzing the effects of the RLC systems is required. In order to satisfy this requirement, this research performed the following tasks. First, the number of signal violations after the RLC systems were investigated in order to check its resulting effects. Second, the number of crashes after the RLC systems were collected and compared with the number of signal violations. Third, a statistical analysis was carried out to develop the relationships between the signal violations and the crashes based on negative binomial distribution. The analysis revealed that the number of crashes has a close relationship with the RLC placement, traffic volume, vehicle speed, the number of phases, and the number of lanes for major approaches. Finally, based on the results found in this analysis, this research presents a methodology for analyzing the safety effects of placing the RLC that should be of service when investigating the economic consequences of the RLC systems.