• Journal of Korean Society of Transportation
• /
• v.26 no.4
• /
• pp.173-184
• /
• 2008

Development of an accident estimation model based on accident data can be made after accident occurrences. However, the taking of historical accident data is not easy, and there have been differences between real accident data and police-reported accident data. Also, another difficult shortcoming is that historical traffic accident data better consider driver behavior or intersection characteristics. A new method needs to be developed that can predict accident occurrences for traffic safety improvement in black spots. Traffic conflict decision techniques can acquire and analyze data in time and space, requiring less data collection through investigation. However, there are shortcomings: as existing traffic conflict techniques do not operate automatically, the analyst's opinion could easily affect the study results. Also, existing methods do not consider the severity of traffic conflicts. In this study, the authors presented traffic conflict decision criteria which consider conflict severity, including opposing left turn traffic conflict and cross traffic conflict decision criteria. In order to test these criteria, the authors acquired three signalized intersection images (two intersections in Sungnam city and one intersection in Paju) and analyzed the acquired images using image processing techniques based on individual vehicle tracking technology. Within the analyzed images, level 1 conflicts occurred 343 times over three intersections. Some of these traffic conflicts resulted in level 3 conflict situations. Level 3 traffic conflicts occurred 25 times. From the study results, the authors found that traffic conflict decision techniques can be an alternative to evaluate traffic safety in black spots.

• Journal of Auto-vehicle Safety Association
• /
• v.13 no.4
• /
• pp.53-59
• /
• 2021

According to the Korean Traffic Accident Analysis System (TAAS), more than 200,000 traffic accidents occur every year. Also, the statistics including auto insurance companies data show 1.3 million traffic accidents. In the case of TAAS, the types of traffic accidents are simply divided into four; frontal collision, side collision, rear collision, and rollover. However, more detailed information is needed to assess for advanced driver assist systems at intersections. For example, directional information is needed, such as whether the vehicle in the car accident way in a straight or a left turn, etc. This study intends to redefine the type of accident with the more clear driving direction and path by referring to the Negligence standards used in automobile insurance accidents. The standards largely divide five categories of car-to-car/motorcycle /pedestrian/cyclist, and highway, and the each category is classified into dozens of types by status of the traffic signal, conflict situations. In order to present more various accident types for auto insurance accidents, the standards are reclassified driving direction and path of vehicles from crash situations. In results, the car-to-car accidents are classified into 33 accident types, car-to-pedestrian accidents have 19 accident types, car-to-motorcycle accidents have 38 accident types, and car-to-cyclist accidents are derived into 26 types.

• The Korean Journal of Emergency Medical Services
• /
• v.25 no.2
• /
• pp.99-112
• /
• 2021

Purpose: The study aimed to analyze the current status of traffic accident victims who were transported by 119 ambulances within the administrative district of Chungnam province and provide essential data for accident prevention. Methods: The pre-hospital care records of patients who called the 119 emergency service in 2019 were obtained from the Chungnam Fire Department. Data pertaining to 13,663 traffic accident victims who were transported to hospitals were analyzed. Results: Patients in those aged ≥60 years accounted for 49.8% of the total cases. In patients aged ≥80 years(n=2,154), motor cycle accidents were highest as 28.3%. In addition, cultivator (n=135) and buggy car (n=79) accident victims were the highest in aged ≥80 years as 66.7% and 67.1%, respectively. Traffic accident victims-population ratio in Chungnam was 0.65%, wherein 2.03% included population aged ≥80 years. Conclusion: It was clear that accidents varied across administrative districts depending on the age group of population distribution. Thus, safety measures for preventing motorcycle, cultivator, and buggy car accidents are necessary for areas with many older people aged ≥80 years.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.17 no.3
• /
• pp.87-97
• /
• 2018

The traffic accident reports that are generated by the Traffic Broadcasting Networks(TBN) are unstructured data. It, however, has the value as some sort of real-time traffic information generated by the viewpoint of the drives and/or pedestrians that were on the roads, the time and spots, not the offender or the victim who caused the traffic accidents. However, the traffic accident reports, which are big data, were not applied to traffic accident analysis and traffic related research commonly. This study adopting text-mining technique was able to provide a clue for utilizing it for the impacts of traffic accidents. Seven years of traffic reports were grasped by this analysis. By analyzing the reports, it was possible to identify the road names, accident spot names, time, and to identify factors that have the greatest influence on other drivers due to traffic accidents. Authors plan to combine unstructured accident data with traffic reports for further study.

• Journal of Acupuncture Research
• /
• v.27 no.1
• /
• pp.21-29
• /
• 2010

Objectives : This study aims to evaluate current clinical evidence of acupuncture treatment for rehabilitation in patients with traffic accident in South Korea. Methods : Seven Korean databases were searched for prospective clinical trials for acupuncture on rehabilitation in patients with traffic accident from their inception to June, 2009. Only studies conducted in Korean language were searched. Risk of bias in included randomized controlled trials were assessed by Cochrane Handbook procedure. Results : Fifteen clinical trials were included among 31 studies searched. Eight were observational studies, five were non-randomizedcontrolled trials, and two were randomized controlled trials. In all of included studies, acupuncture were conducted with other concomitant treatment. Included studies dealt with such conditions as neck pain, low back pain tinnitus after traffic accident, post-traumatic stress, oculomotor nerve palsy, diplopia and insomnia. All of included studies reported favorable effects of acupuncture group compared to baseline or control group. All of included studies lacked the occurrence of adverse events. High risk of bias were observed in two randomized controlled trials. Conclusions : There is no evidence that acupuncture is effective for rehabilitation of traffic accident. All of included studies lacked appropriate methodological qualities and internal validity. Future welldesigned clinical trials that evaluate the effects and safety of acupuncture treatment for rehabilitation in patients with traffic accident is needed.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.13 no.2
• /
• pp.12-26
• /
• 2014

This Study deals with effect of low visibility condition at nighttime on traffic accident. Roads for experiment of this study are Gyeongbu expressway, Seohaean expressway, Yeongdong expressway and Seoul beltway in Gyeonggi province. For this study, I subdivided basic straight section of them into 58 short section. And I analyzed effect of low visibility condition by darkness at nighttime on traffic accident by using 410 traffic accidents between January 1, 2009 and June 30, 2012 on those sections. The Quasi-experimental and negative binomial regression were applied to analyze effect of low visibility condition at nighttime on traffic accident. In this study, I only analyzed visibility difference of daytime and nighttime on traffic accident except other effective variables on traffic accidents. As a result, I have found that it is for low visibility condition at nighttime to have effect on traffic accidents at such specific conditions as Los A speed is maintained in basic straight section of expressway in fine weather. And I tried to do various analysis on types and causes of traffic accidents using the result of analysis.

• Smart Media Journal
• /
• v.5 no.4
• /
• pp.75-82
• /
• 2016

Although Korea's economic and domestic automobile market through the change of road environment are growth, the traffic accident rate has also increased, and the casualties is at a serious level. For this reason, the government is establishing and promoting policies to open traffic accident data and solve problems. In this paper, describe the method of predicting traffic accidents by eliminating the class imbalance using the traffic accident data and constructing the Hybrid Model. Using the original traffic accident data and the sampled data as learning data which use FP-Growth algorithm it learn patterns associated with traffic accident injury severity. Accordingly, In this paper purpose a method for predicting the severity of a victim of a traffic accident by analyzing the association patterns of two learning data, we can extract the same related patterns, when a decision tree and multinomial logistic regression analysis are performed, a hybrid model is constructed by assigning weights to related attributes.

• Journal of Korean Society of Transportation
• /
• v.21 no.1
• /
• pp.21-40
• /
• 2003

A traffic accident analysis method was developed and tested based on the highway alignment risk indices using geographic information systems(GIS). Impacts of the highway alignment on traffic accidents have been identified by examining accidents occurred on different alignment conditions and by investigating traffic accident risk indices(TARI). Evaluative criteria are suggested using geometric design elements as an independent variable. Traffic accident rates were forecasted more realistically and objectively by considering the interaction between highway alignment factors and the design consistency. And traffic accident risk indices and risk ratings were suggested based on model estimation results and accident data. Finally, forecasting traffic accident rates, evaluating the level of risk and then visualizing information graphically were combined into one system called risk assessment system by means of GIS. This risk assessment system is expected to play a major role in designing four-lane highways and developing remedies for highway sections susceptible to traffic accidents.

• The Journal of Korean Medicine
• /
• v.40 no.2
• /
• pp.72-88
• /
• 2019

Objectives: The purpose of this study is to understand the experience of traffic accident patients with serious injury treated with Traditional Korean Medicine (TKM). Methods: This study was conducted on the basis of grounded theory. We recruited 10 participants who had been hospitalized in Dongguk University Bundang Oriental Hospital after traffic accident. Raw data was collected by in-depth interview, and analyzed by using constant comparison. The coding(open-axial-selective) was performed in order to create paradigm and theoretical model, which can explain main theme of this study. Results: Core phenomenon of this study was 'Experiencing TKM treatment as an alternative' and core category was 'Searching for the answer to the management of traffic accident sequela through TKM treatment' Conclusions: For patients with serious injury, 'Experiencing TKM treatment as an alternative' has meaning as the following: First, The absence of accurate radiography and surgical management makes it hard for patients to choose Korean medicine hospital immediately after traffic accident. Second, Effectiveness of TKM treatment should be evaluated in the long term. Third, TKM treatment is superior to Western medicine treatment in managing long-term patients who suffered from serious injury involved in traffic accident. Finally, Cooperative service of the Western medicine and TKM will provide more satisfactory medical care for traffic accident patients.

• Journal of Arbitration Studies
• /
• v.24 no.2
• /
• pp.81-107
• /
• 2014

ADR has recently been expanded, making it possible to solve traffic accident disputes, which is a matter of urgency for parties to avoid. This point serves as an important procedural element. Such disputes are an area that requires a quick resolution. To try to solve any dispute that occurs in the complex environment of modern times one-by-one through litigation does not make sense. It gives an undue burden on the judicial body and the investigation agency. Like litigation, today's arbitration system, should have effective conflict resolution. The arbitration of automobile traffic accident disputes can be seen as roughly adjusted through the insurance company, the Dispute Coordinating Committee, and the Crime Victims Protection Act. It consists of experts mainly, and the resolution of automobile traffic accident disputes can be resolved through the Sajonsa and workers insurance company. However, adjustments to failure incident mostly need attention. Most of a company's compensation insurance indemnity needs to be processed in practice. In addition, a vicious cycle of litigation and delay period is repeated if a lawyer is appointed. There are unreasonable adjustment systems in the midst of these. Avoiding traffic accidents allows parties to resolve disputes better. Arbitration of disputes in automobile traffic accidents handled by arbitration institutions is desirable. It is determined that the handling of a case by a village attorney is efficient.