• Journal of Korean Medicine Rehabilitation
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• v.25 no.1
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• pp.77-85
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• 2015

This study analyzed the MMPI (Minnesota Multiphashic Personality Inventory), VAS (Visual Analogue Scale), cervical and lumbar curvature (Cervical angle, Ishihara Index, Lumbar angle, Ferguson angle) and satisfaction score of patient of traffic accident. About 59 cases of patients admitted to the Korean Medicine hospital, MMPI and pain levels (VAS) cervical and lumbar curvature (Cervical angle, Ishihara Index, lumbar angle, Ferguson angle) and satisfaction score were measured and statistically analyzed. Depending on the type of accident divided into two groups of In car TA and Out car TA. After hospitalization, patient's pain index was improved as a whole. Pain index and evaluation of the cervical and lumbar curvature, according to the accident types, the difference was not statistically significant. In the analysis of the MMPI validity scales, In car TA group was analyzed by 'V-shaped', Out car TA group was analyzed by umbrella- shaped, 'inverted V-shaped'. Clinical scales of out car TA group were analyzed by 3-1 profile compared to the In car TA group. Results of multiple regression analysis showed no association between factors and MMPI scales. In the case of a traffic accident patients, damage to the body, as well as emotional and psychological factors are thought to affect the condition or prognosis of patients. In the future, for the management and treatment of these parts will be needed to complement the academic or institutional.

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

• Korean Journal of Otorhinolaryngology-Head and Neck Surgery
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• v.60 no.8
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• pp.390-395
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• 2017

Background and Objectives With increasing frequency of car accidents, patients of dizziness caused by car accidents are also increasing. Various types of dizziness or vertigo can occur from car accidents depending on different injury mechanisms. Since accurate diagnosis is important for providing proper treatments, we evaluated clinical characteristics related to vestibular function of patients with dizziness caused car accidents. Subjects and Method In this retrospective case review study that runs from January 2011 to March 2013, a total of 82 patients with dizziness following car accident were enrolled consecutively. We analyzed the final diagnosis of dizziness according to different mechanisms of injury during car accident through clinical record review. Patients who developed dizziness within one month of car accident were included, excluding those who had temporal bone fracture and previous history of dizziness. Results Of the different types observed, 36.6% was head injury, 24.4% whiplash injury, 3.7% complex injury, 2.4% others and the rest was unknown. In the final diagnosis, the different types included 36.6% benign paroxysmal positional vertigo (BPPV), 23.2% unclassifiable dizziness, 18.3% cervical vertigo, 7.3% labyrinthine concussion, 3.7% BPPV with labyrinthine concussion and the rest was others. Of the different types of dizziness symptoms, 58.5% was headache, 45.1% was audiologic symptoms, and others included earfullness, tinnitus and hearing disturbance. Tinitogram and pure tone audiogram results show that 2.9% (27 people) of patients have tinnitus and 7.3% (6 people) have hearing disturbance. Conclusion An accurate diagnosis and timely management would be very important in forming a proper approach for post traumatic vertigo patients.

• Journal of the Society of Disaster Information
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• v.13 no.4
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• pp.570-576
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• 2017

Trucks take up more portions than cars on highways. Due to this, road use relatively diminish and it serves locally as a threatening factor to nearby drivers. Baggage car accident has distinct characteristics so that it needs the application of different analysis opposed to ordinary accidents. Accident prediction model, one of accident analyses, is used to predict the numbers of accident in certain parts, establish traffic plans as well as accident prevention methods, and diagnose the danger of roads. Thus, this study aims to apply the accident rate of baggage car on highways and calculate the correction factor to be put in the accident prediction models. Accident data based on highway was collected and traffic amounts and accident documents between 2014 and 2016 were utilized. The author developed an accident prediction model based on numbers of annual accidents and set mean annual and daily traffic amounts. This study intends to identify the practical accident prediction model on highway and present an appropriate solution by comparing the prediction model in accords with the accident rate between baggage cars.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.11
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• pp.4100-4107
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• 2010

The wrecker truck of lift type is used to move damaged car in accident spot or to move illegal vehicle in towaway zone toward pound.. This special vehicle drives by lifting front or rear side of car with the driving type of towed car. Each car is modelled with CATIA and is simulated with FEM analysis program ANSYS. This study analyzes how dangerous is the triple collision among the wrecker-towed car-driving car as comparing with the usual collision accident with cars. It is studied how responsible is the towed car in case of crashing its back side by driving car. The influence on the driving angle of towed car by lifting wrecker is also considered.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.23 no.1
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• pp.17-26
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• 2010

This study presents a decision making process for installation of wind barrier which is used to reduce the wind acting on running vehicle on expressway. At the first stage of this study, the lateral deviations of running vehicles under side winds were computed from the commercial softwares, CarSim and TruckSim, and then the critical wind speeds for car accident were evaluated from predefined risk index. To determine whether it is needed to install wind barrier or not, cost and benefit from wind barrier are calculated during lifetime. In obtaining car accidental risk, probabilistic distribution of wind speed, daily traffic volume, mixture ratio in the volume, and duration time for wind speed range are considered. It is recommended to install wind barrier if benefit from the barrier installation exceed construction cost. In the numerical examples, case studies were shown for risk and benefit calculation and main risky regions on Korean highway were all evaluated to identify the number of installation sites.

• Journal of Convergence for Information Technology
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• v.9 no.12
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• pp.54-61
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• 2019

Recently, IITS (intelligent integrated transportation system) has been important topic in Smart City related industry. As a main objective of IITS, prevention of traffic jam (due to car accidents) has been attempted with help of advanced sensor and communication technologies. Studies show that car accident has certain correlation with some factors including characteristics of location, weather, driver's behavior, and time of day. We concentrate our study on observing auto correlativity of car accidents in terms of time of day. In this paper, we performed the ARIMA tests including ADF (augmented Dickey-Fuller) to check the three factors determining auto-regressive, stationarity, and lag order. Summary on forecasting of hourly car crash counts is presented, we show that the traffic accident data obtained in Korea can be applied to ARIMA model and present a result that traffic accidents in Korea have property of being recurrent daily basis.

• Journal of Intelligence and Information Systems
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• v.19 no.4
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• pp.11-20
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• 2013

In designing Intelligent Traffic Systems, it should be necessary to consider telecommunications, appearance, environment, auxiliary functions, safety, and so on. Also, in choosing a car, a consumer considers those properties. This paper tried to elucidate the fact that car color has a very significant meaning for car safety when administrating intelligent traffic services and making car-purchasing decision. We first studied on occurrence probability of car accident according to car color that has something to do with car safety. Then, we studied on the concepts of advancing color and receding color. Advancing color causes less accidents since the color looks closer than it actually is. And receding color causes more accidents since the color looks farther than it actually is. And we classified car colors into eight classes and assign their ranking to each class, considering the number of car accidents. We tried to verify our research by use of telephone questionnaire for residents in Kunsan, Republic of Korea.

• Journal of Korean Society of Transportation
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• v.28 no.1
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• pp.87-96
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• 2010

The impact speed estimation practice used in the car-bicycle accident analysis practice in Korea was mainly dependent on foreign study results which were tested with limited speed ranges and vehicle types, but the characteristics of roadway, human body, and vehicle performance were quite different. This study developed an impact speed estimation model using the car-bicycle accident field data. For this, a regression analysis was performed using the impact speed and bicycle throw distance collected from 23 real accident data, and statistical test was also conducted. For the verification of the induced model, the impact speeds derived from the model were compared with the true impact speeds estimated from skid marks of two accident cases. The result showed that the two speeds were very close to each other. It is believed that the model could be included in the car-bicycle accident analysis practice.

• Transactions of the Korean Society of Automotive Engineers
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• v.18 no.3
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• pp.104-109
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• 2010

The fatality of pedestrian accounts for about 21.2% of all fatality at 2007 year in Korea. In car to pedestrian accident it is very important to inspect the throw distance of pedestrian after collision for exact reconstructing of the accident. The variables that influence on the throw distance of pedestrian can be classified into the factors of vehicle and pedestrian, and road condition. It was simulated by PC-CRASH, a kinetic analysis program for a traffic accident in sedan type vehicle and SPSS program was used for regression analysis. From the results, the throw distance of pedestrian increased with the increasing of vehicle velocity, and decreased with the increasing of impact offset. Also it decreased with the increasing of velocity of pedestrian at accident, and throw distance at the road condition of wet was longer than that at dry condition. Finally, the regression model of sedan type vehicle on the throw distance of pedestrian was as follows; $$dist_i=2.39-0.11offset_i+0.59speed_i-545height_i-0.25walk_i+2.78wet_i+{\epsilon}_i$$.