• Journal of the Society of Disaster Information
• /
• v.20 no.1
• /
• pp.156-168
• /
• 2024

Purpose: The trend of highway traffic accidents shows a repeating pattern of increase and decrease, with the fatality rate being highest on highways among all road types. Therefore, there is a need to establish improvement measures that reflect the situation within the country. Method: We conducted accident severity analysis using Random Forest on data from accidents occurring on 10 specific routes with high accident rates among national highways from 2019 to 2021. Factors influencing accident severity were identified. Result: The analysis, conducted using the SHAP package to determine the top 10 variable importance, revealed that among highway traffic accidents, the variables with a significant impact on accident severity are the age of the perpetrator being between 20 and less than 39 years, the time period being daytime (06:00-18:00), occurrence on weekends (Sat-Sun), seasons being summer and winter, violation of traffic regulations (failure to comply with safe driving), road type being a tunnel, geometric structure having a high number of lanes and a high speed limit. We identified a total of 10 independent variables that showed a positive correlation with highway traffic accident severity. Conclusion: As accidents on highways occur due to the complex interaction of various factors, predicting accidents poses significant challenges. However, utilizing the results obtained from this study, there is a need for in-depth analysis of the factors influencing the severity of highway traffic accidents. Efforts should be made to establish efficient and rational response measures based on the findings of this research.

• The Journal of Pediatrics of Korean Medicine
• /
• v.29 no.4
• /
• pp.90-96
• /
• 2015

Objectives The purpose of this study was to report 35 children who had sleep disorder like night crying or night terror after traffic accidents. Methods This clinical study had been carried out with 35 infants and children, who visited to the department of Pediatrics, ${\bigcirc}{\bigcirc}$ Oriental Medical Hospital from January 2012 to June 2015. Results The study group had similar sex the ratio between boys and girls and the group had more of 1-3 year-old children. The number of patients who were diagnosed as night crying were 24, night terror were 7 and palpitation due to alarm were 4. All patients took herb medicine and 15 patients were treated by acupuncture. During the treatment, symptom of night crying and terror were disappeared. Conclusions This result showed that the oriental medical treatment was effective in children who suffered from night crying or night terror after traffic accidents.

• Journal of the Korean Society of Safety
• /
• v.32 no.3
• /
• pp.141-150
• /
• 2017

A rapid increase in traffic accidents involving senior vehicle occupants has been an issue in Korea because of the aging of the population occurring at one of the fastest rates in the world; unfortunately, few studies beyond several looking at the effect of senior occupants on the level of accident injury severity can be found in the literature. A Multinomial logit model was estimated with Newton-Raphson algorithm to perform bias-reducing penalized likelihood optimization. Model covariates integral to developing the model were included, but the main focus was on the interaction of seating position and injury to senior vehicle occupants. It was found that the likelihood of an accident resulting in a fatality increased: 2.2 times for the driver seat, 2.7 times for the front passenger seat, and even 6.7 times for the rear seat. A mandatory seatbelt law to be extended to the rear seat needs to pass the assembly as soon as possible, and government, industry, and safety groups should be encouraged to join forces to strongly carry out targeted campaigns for the wearing of seatbelts in all vehicle seats to enhance the safety of senior occupants as well as other occupants who are vulnerable to road traffic accidents.

• Journal of Korean Tunnelling and Underground Space Association
• /
• v.6 no.3
• /
• pp.199-211
• /
• 2004

As the length of local tunnels is getting longer, the demand for tunnel safety attracts more attention. But only a few information can be found concerning traffic and fire accidents occurred in local tunnel, and full-fledged studies had not been carried out to fulfill the expectation of the tunnel users. This study aims at collecting and analyzing the data on traffic and fire accidents in local road tunnels and providing the fundamental data for the tunnel fire safety evaluation. Focus is placed on quantifying the relationship among traffic accidents, fire occurrences and tunnel characteristics.

• Journal of the Society of Disaster Information
• /
• v.9 no.1
• /
• pp.30-49
• /
• 2013

In this research we developed a new traffic accident forecasting model on the basis of land use. A new traffic accident forecasting model by type was developed based on market segmentation and further introduction of variables that may reflect characteristics of various regions using Classification and Regression Tree Method. From the results of analysis, activities variables such as the registered population, commuters as well as road size, traffic accidents causing facilities being the subjects of activities were derived as variables explaining traffic accidents.

• 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.

• Proceedings of the Korea Contents Association Conference
• /
• 2009.05a
• /
• pp.549-558
• /
• 2009

By the statistics of traffic safety public corporation as of Feb. 2009 year, in domestic 16,861,965 cars were registered and in this Gwangju is registered by 476,149 cars. Except Ulsan, compare to other metropolitan city, vehicles numbers are fewer. Then, as of 2009. 4. 9. by the announcement of National land and marine ministry, the operation distance of passenger cars of Gwangju metropolitan city is 40.9 km per 1 day and the most highest in the whole country. On the one hand, by the materials of traffic safety public corporation, from 2007. 1. 1 to 2007. 12. 31 for a year, traffic accidents of Korea were 211,662. By this, 6,166 people were death, 335,906 people were wounded. This mean about 17 people death and 920 people wounded per day. In Gwangju metropolitan city, last year 8,231 traffic accidents took place and 138 people were death and 13,533 people were wounded. This while government did various traffic policy to reduce traffic accidents and some degree were progressive. But still the actual circumstances is that disgrace of traffic undevelopment country can't take off. Moreover, the concern for the traffic safety of feeling of general people is very deficient. In this research, with the help of Gwangju province police station. analysed traffic accidents reality of 2009 year March and this is going to look around spring season traffic accidents prevention activities and spring season means from March to June.

• Safety and Health at Work
• /
• v.9 no.4
• /
• pp.454-461
• /
• 2018

Background: Working conditions and psychosocial work factors have acquired an important role explaining the well-being and performance of professional drivers, including those working in the field of public transport. This study aimed to examine the association between job strain and the operational performance of public transport drivers and to compare the expositions with psychosocial risk at work of three different types of transport workers: taxi drivers, city bus drivers, and interurban bus drivers. Method: A sample of 780 professional drivers was drawn from three transport companies in Bogota (Colombia). The participants answered the Job Content Questionnaire and a set of sociodemographic and driving performance questions, including age, professional driving experience, work schedules, and accidents and penalties suffered in the last 2 years. Results: Analyses showed significant associations between measures of socio-labor variables and key performance indicators such road traffic accidents and penalties. Furthermore, multiple linear regression analysis contributed to explain significantly suffered accidents from key variables of the Job Demand-Control model, essentially from job strain. In addition, throughout post-hoc analyses, significant differences were found in terms of perceived social support, job strain, and job insecurity. Conclusion: Work stress is an issue that compromises the safety of professional drivers. This research provides evidence supporting a significant effect of job strain on the professional driver's performance. Moreover, the statistically significant differences between taxi drivers, city bus drivers, and interurban bus drivers in their expositions to work-related stress suggest the need for tailored occupational safety interventions on each occupational group.

• Journal of Korean Society of Transportation
• /
• v.27 no.2
• /
• pp.107-115
• /
• 2009

Traffic islands were introduced for drivers and pedestrians to use the road in a safe and orderly way and were also a specified zone between traffic lanes to divide conflicting traffic flows and to provide pedestrian refuge. However, existing research and relevant standards described its purpose and effects only but not a safety standard to decide whether the traffic island warranted. This study was to introduce a parameter which had a high relationship with accidents by analyzing road and traffic conditions and traffic accident data at urban intersections. Based on the relationship between the parameter and the traffic accidents at the intersection, a pedestrian accident probability model was made by using a logit model. In addition, the study reviewed a pedestrian accident probability corresponding to traffic volume and size of the intersection during design of the intersection and then suggested the effectiveness of the traffic island in terms of traffic safety. In conclusion, when a large-scale intersection has significant traffic volumes, a high probability of traffic island-induced pedestrian accidents appears, while in the case of small volumes, the probability is low. Targeted design and operations of a traffic islands is necessary, because its introduction itself does not enhance pedestrian safety in all cases at all intersections. This study can be a useful reference for further development to set up a scheme of the traffic islands in terms of traffic safety.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.45 no.2
• /
• pp.20-29
• /
• 2022

This study intends to present a traffic node-based and link-based accident prediction models using XGBoost which is very excellent in performance among machine learning models, and to develop those models with sustainability and scalability. Also, we intend to present those models which predict the number of annual traffic accidents based on road types, weather conditions, and traffic information using XGBoost. To this end, data sets were constructed by collecting and preprocessing traffic accident information, road information, weather information, and traffic information. The SHAP method was used to identify the variables affecting the number of traffic accidents. The five main variables of the traffic node-based accident prediction model were snow cover, precipitation, the number of entering lanes and connected links, and slow speed. Otherwise, those of the traffic link-based accident prediction model were snow cover, precipitation, the number of lanes, road length, and slow speed. As the evaluation results of those models, the RMSE values of those models were each 0.2035 and 0.2107. In this study, only data from Sejong City were used to our models, but ours can be applied to all regions where traffic nodes and links are constructed. Therefore, our prediction models can be extended to a wider range.