• Journal of Multimedia Information System
• /
• v.5 no.2
• /
• pp.111-114
• /
• 2018

Traffic accident analysis is important to reduce the occurrence of the accidents. In this paper, we analyze the traffic accident with Apriori algorithm to find out an association rule of traffic accident in Korea. We first design the traffic accident analysis model, and then collect the traffic accidents data. We preprocessed the collected data and derived some new variables and attributes for analyzing. Next, we analyze based on statistical method and Apriori algorithm. The result shows that many large-scale accident has occurred by vans in daytime. Medium-scale accident has occurred more in day than nighttime, and by cars more than vans. Small-scale accident has occurred more in night time than day time, however, the numbers were similar. Also, car-human accident is more occurred than car-car accident in small-scale accident.

• Journal of Korean Medicine Rehabilitation
• /
• v.18 no.2
• /
• pp.119-130
• /
• 2008

Objectives : The purpose of this study was to compare mean values of Factor AA on Skin Resistance Variability(SRV) of traffic accident patient group with those of non-traffic accident patient group(control group) by using 7-Zone-Diagnostic System. Methods : Two groups were selected from those who took the CP-6000A test in College of Oriental Medical Hospital of Sang-Ji University from March 2007 to November 2007. Two groups were control group(n=61) and traffic accident patient group(n=62). Mean values of Factor AA on Skin Resistance Variability(SRV) of two groups were compared. Results and Conclusions : The results suggest that traffic accident patient group and non-traffic accident patient group had problems in circulation but non-traffic accident patient group had more problems than traffic accident patient group, and that after oriental medical therapy, non-traffic accident patient group was more improved than traffic accident patient group. So, further studies will be needed.

• Journal of the Korean Society of Safety
• /
• v.26 no.4
• /
• pp.120-126
• /
• 2011

Under the current law or system, the range of traffic accident on the crosswalk does not reflect the characteristics of traffic accident and the pedestrian's walking pattern. Thus, this study conducted a video recording survey on the 250 spots which are high to traffic accident rate of pedestrian-vehicle to reset the range of traffic accident on or near the crosswalk considering the characteristics of traffic accident and the pedestrian's walking pattern. Based on the collected data through a video recording survey, this study analyzed the pattern of pedestrians and extracted the variables influenced in the pedestrian's walking pattern. After conducting the regression analysis, this study made the model of measuring the range of traffic accident on the crosswalk. Through all processes these, this study reset the range of traffic accident on the crosswalk which could minimize the disadvantages of pedestrian when they have an accident on the crosswalk and ensure the right of way of pedestrian.

• The Journal of the Korea Contents Association
• /
• v.7 no.1
• /
• pp.184-189
• /
• 2007

In case of Korea Social cost by road traffic accident came to about 15 trillion per year and to 2.15% of GDP, a day about 20 person death to traffic accident and those damage scale reach out about 7 billions. Concretely, according to OECD traffic accident comparison on July 2005 (2003 statistical analysis), in korea, 7,212 Person were dead. This describe that the sacrifice numbers of traffic accident is 26 level of OECD 26 countries, the dead of traffic accident on children 100,000 persons is 25 level of OECD 25 countries. It is contrast to other developed countries. In the meantime, korea government executed various traffic policies to reduce traffic accident and depending on those policies, even if, there were epochal progressive phenomena the concerns of citizens which felt on franc accident is very deficient. On this research, traffic accident state of taking place of Gowangju.Jeonnam province was analysed depend on jeonnam province police station materials and want to suggest appropriate traffic safty counterplan propose. This subject was analysed traffic accident according the death with analysing per month, day, hour, and suggest counterplan depending on traffic accident analysis result on 2004. 2005 years.

• International Journal of Highway Engineering
• /
• v.17 no.6
• /
• pp.75-83
• /
• 2015

PURPOSES : This study deals with the traffic accidents classified by the traffic analysis zone. The purpose is to develop the accident density models by using zonal traffic and socioeconomic data. METHODS : The traffic accident density models are developed through multiple linear regression analysis. In this study, three multiple linear models were developed. The dependent variable was traffic accident density, which is a measure of the relative distribution of traffic accidents. The independent variables were various traffic and socioeconomic variables. CONCLUSIONS : Three traffic accident density models were developed, and all models were statistically significant. Road length, trip production volume, intersections, van ratio, and number of vehicles per person in the transportation-based model were analyzed to be positive to the accident. Residential and commercial area ratio and transportation vulnerability ratio obtained using the socioeconomic-based model were found to affect the accident. The major arterial road ratio, trip production volume, intersection, van ratio, commercial ratio, and number of companies in the integrated model were also found to be related to the accident.

• Journal of Korean Medicine Rehabilitation
• /
• v.15 no.2
• /
• pp.67-75
• /
• 2005

Objectives : Straight leg raising test(SLR) is useful clinical test to diagnose herniated lumbar intervertebral disc. The purpose of this study is to analyse diagnostic value of straight leg raising test between traffic accident patients group and non-traffic accident patients group. Methods : The study involved 26 traffic accident patients group and 45 non-traffic accident patients group with low back pain or radiating pain into the leg. All had a result of straight leg raising test and lumbar computed tomography(CT) or magnetic resonance imaging(MRI). The associations between straight leg raising test and herniated lumbar intervertebral disc were analysed. Results and Conclusions : 1. There is not significant associations between straight leg raising test and herniated lumbar intervertebral disc in traffic accident patients group. 2. There is significant associations between straight leg raising test and herniated lumbar intervertebral disc in non-traffic accident patients group. 3. In traffic accident patients group, and negative predictive value are higher than non-traffic accident patients group. 4. In non-traffic accident patients group, sensitivity, positive predictive value and odds ratios are higher than traffic accident patients-group.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.11 no.6
• /
• pp.133-144
• /
• 2012

This study focused on estimating influential factors of traffic accidents and analyzing traffic accident severity of elderly and non elderly using traffic accident data. In order to reclassify elderly and non elderly traffic accident by a statistical method from entire traffic accident data, multiple discriminant analysis was applied. Also ordered logit model was applied for analyzing traffic accident severities using traffic accident severities as an independent variable and transportation facilities, road conditions and human characteristics as dependent variables. As results of the comparison between elderly and non elderly traffic accident, the traffic accident severity was affected by the age, types of traffic accidents, human characteristics and road conditions as well. Also, transportation facilities and road conditions affected to more elderly traffic accident than non elderly. Therefore, traffic accident severity would be decreased with the improvement of transportation facilities and road conditions for the elderly.

• Journal of the Institute of Electronics Engineers of Korea TC
• /
• v.44 no.1
• /
• pp.85-92
• /
• 2007

Traffic accident number is decreasing tendency every year. But, large size accident or hit-and-run case increases continuously. As well as, traffic accident causes real form of accident ambit thats why, social expense rises. For that reason we are going to present our plan that can prevent traffic accident when traffic accident occurs, we presented our idea that can arbitrate traffic accident quickly. Driver can know more correctly traffic circumstance through hearing and sight by using DMB. Finally, we suggested plan that supply traffic information that is more effective by TPEG.

• Proceedings of the KAIS Fall Conference
• /
• 2008.05a
• /
• pp.157-159
• /
• 2008

This paper has been studied traffic accident using intelligence prediction algorithm. and wish to prevent accident by guiding in 2 km ahead the accident that occur in fog section and a snow-covered road, sudden roadworks and sharp curve section, etc and removing fog and snow automatically using the ubiquitous and intelligence technique. If we can predict of traffic accident, we can prevent the many traffic accident. In this paper, we present neural network approach for prediction of traffic accident. Computer simulation results prove that reducing the average vehicle waiting time which proposed considering prevention of traffic algorithm for optimal traffic cycle is better than fixed signal method which dose not using prevention of traffic algorithm.

• Journal of Institute of Control, Robotics and Systems
• /
• v.10 no.6
• /
• pp.501-509
• /
• 2004

The frequency of car accidents is very high at the intersection. Because of the state of a traffic signal, quarrels happen after accidents. At night many cars run away after causing an accident. In this case, accident analyses have been conducted by investigating evidences such as eyewitness accounts, tire tracks, fragments of the car or collision traces of the car. But these evidences that don't have enough objectivity cause an error in judgment. In the paper, when traffic accidents happen, the traffic accident detection system that stands on the basis of images and sounds detects traffic accidents to acquire abundant evidences. And, this system transmits 10 seconds images to the traffic center through the wired net and stores images to the Smart Media Card. This can be applied to various ways such as accident management, accident DB construction, urgent rescue after awaring the accident, accident detection in tunnel and in inclement weather.