• Korean Journal of Artificial Intelligence
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• v.9 no.1
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• pp.9-14
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• 2021

This paper predicted a model that indicates whether to buy a car based on primary health insurance customer data. Currently, automobiles are being used to land transportation and living, and the scope of use and equipment is expanding. This rapid increase in automobiles has caused automobile insurance to emerge as an essential business target for insurance companies. Therefore, if the car insurance sales are predicted and sold using the information of existing health insurance customers, it can generate continuous profits in the insurance company's operating performance. Therefore, this paper aims to analyze existing customer characteristics and implement a predictive model to activate advertisements for customers interested in such auto insurance. The goal of this study is to maximize the profits of insurance companies by devising communication strategies that can optimize business models and profits for customers. This study was conducted through the Microsoft Azure program, and an automobile insurance purchase prediction model was implemented using Health Insurance Cross-sell Prediction data. The program algorithm uses Two-Class Logistic Regression and Two-Class Boosted Decision Tree at the same time to compare two models and predict and compare the results. According to the results of this study, when the Threshold is 0.3, the AUC is 0.837, and the accuracy is 0.833, which has high accuracy. Therefore, the result was that customers with health insurance could induce a positive reaction to auto insurance purchases.

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

• Transactions of the Korean Society of Automotive Engineers
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• v.24 no.4
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• pp.432-438
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• 2016

Whiplash injuries in low-speed rear-end collisions are the most common injuries and has been a social issue in insurance industry, such as excessive medical claim costs along with exaggerated injuries of victims and treatments from hospitals. According to the Korea Insurance Development Institute reports, the number of claims by rear-end collision was approximately 703,000, which accounts for 53.6 % of the total car-to-car collisions in 2014. Part of the neck injury claims in the Korea car insurance was approximately 28.3 %. Furthermore, approximately 98.4% of the injured persons in rear-end collisions sustained minor injuries under AIS2. In order to improve this situation as well as find out the severity of neck injuries from rear-end collision, the Korea Automobile Insurance Repair Research and Training Center conducted car-to-car rear-end crash tests that striking vehicles(SUV) collided into different sizes of struck-vehicles(small, middle, and large sedan) at the impact speeds of 8 km/h ~ 16 km/h. In order to analyze the whiplash injury, the BioRID-II was seated in each struck-vehicles, and the neck injury criteria(NIC), head contact time, maximum vehicle accelerations, and mean vehicle accelerations were calculated from values from the accelerations of the dummy and the struck-vehicles.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.3
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• pp.87-95
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• 2006

In this paper, an approach for analyzing brand loyalty and brand switching behavior in car insurance market is presented. A two-choice model by Blumen, et al. that uses Markov chain is adopted as a main technique for estimating brand parameters. Survey data have been collected through personal interviews with questionnaires. Following the application of the model to the data, it is found that there are five leading companies in car insurance market where the number of potential brand switchers is larger than that of brand loyal customers. Therefore, differentiation of this product along with the conversion of this low-involvement product to a high-involvement one could make car insurance stand out against a somewhat undifferentiated field of competitors.

• International journal of advanced smart convergence
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• v.1 no.1
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• pp.38-42
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• 2012

Automobilist in South Korea in order to provide car driving information to the insurance company uses 'car driving information device'. They provide car driving information of device to insurers for their premium discount. Currently these devices are used in Korea has inconvenience that this device Installation and the process for send this information to insurance companies. In this paper, Korean smart car driving information system designed using Smart phone and local-range network as a basis the 'Certification Regulations of Driving Information Check Device' of the Korea Insurance Development Institute.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.51
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• pp.199-210
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• 1999

The number of car accident is Recently on the increase in Korea because of the explosive increase of cars, the poor road condition, the lack of safety facility, and others. The insurant with a accident has to decide whether receiving a insurance or not. In this paper, we represent a reasonable decision support material by calculating the approximate insurance fee based on the discount rate and premium additive rate, which is changed by the accident type and the accident expenditure. Practically, there is difference in the standard insurance rate and premium additive rate according to the accident type and the accident expenditure in Korea. The premium additive rate is assessed considering the number of accident, the pattern of accident, and the reason of accident for 3 years. In this paper, we represent a decision making method considering not only the first-time car accident but also the future car accident. For considering the repeated accident, we analyzed the real data accumulated until the year of 1996 from S Insurance Company, and estimated the probability density function between the first and the second-time accident, and executed the goodness of fit test using ARENA and STATISTICA software. Using this conditional PDF, we can calculate the insurance fee next 3 years and compare the insurance fee with the equivalent present value of cash flows. The program performing this analysis is represented, and written in VISUAL BASIC Language. We tried to suggest an accurate guideline for the insurant to decide the insurance coverage rationally, and tried to correct a wrong idea of dependence on the car insurance only by the amount of the accident expenditure. And we expect this study can generally be applied to many different accident types under the uncertain circumstances in our daily life.

• The Korean Journal of Health Service Management
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• v.9 no.1
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• pp.57-66
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• 2015

This study was performed to provide efficient fund managing plans for hospitals by looking into the management of medical fees for accident insurance. Car insurance, industrial accident insurance and seamen's insurance at a general hospital which is located in Busan during 29 months from January 1, 2009 to May 31, 2011 were assessed. The research data is the total number of 6,293 cases, including 2,251 car insurance cases, 2,350 industrial accident insurance cases, and 1,692 seamen's insurance cases. There were some significant differences found, as car insurance and seamen's insurance, including accident insurance, are types of insurance for which employers or traffic accidents offenders shall be the final premium payer. In addition, medical examination fees or premium payers are applied under their respective related laws. The findings suggest that it is necessary for managers of hospitals to prepare differentiated management schemes based on the characteristics of each insurer and schemes to ensure proper recovery strategies of uncollected medical account receivables.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.44
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• pp.163-169
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• 1997

Due to the increasing of the number of cars and bad road conditions, car accidens are increasing every you in Korea. When a person meets a car accident, it is necessary for him to analyze and determine whether applying insurance or not, because standard discount rate and special increasing rate change with accident types and the amount of accident expenditure. When we consider insurance rate that includes more then ten elements, we need a decision making, In this paper, S insurance company investigated previous car causers in 1988, 1989, 1990 to 1996 with 600,000 real data. We investigate probability density functions and cumulative distribution functions for each year using ARENA software. We can apply the results of this study to various accidents that occur under uncertainty in our life. I hope that this paper contribute to strengthening competitive power of companies and developing new insurance rate systems in future.

• The Journal of Industrial Distribution & Business
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• v.8 no.6
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• pp.25-31
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• 2017

Purpose - This study examines car accidents that occurred in South Korea territory, and analyzes criminal liability of the offender and certain issues of driver's insurance, but a civil liability to the injured is excluded as civil liability belongs to auto insurance. Research design, data, and methodology - With carrying out this research, case study of driver's liability and literature review were adopted throughout. For this, car accidents that occurred in South Korean territory were examined and then criminal liability of the offender and certain issues of driver's insurance were analyzed. Results - From this case study on driver's liability it was found that the offender cannot receive insurance money from the insurer irrespective of the valid drive insurance, if there is no 'bill of agreement of criminal consensus'. This study suggests some ideas, offers suggestions of convenience and assistance of qualified claim staff to overcome a hurdle of drive insurance. Conclusions - As long as the accident is not a fraud and scam by the parties concerned, advance payment of agreement of criminal consensus is required to the insured, the policy holder within the limit of liability of driver insurance, on condition that the drive insurance is valid.

• The Korean Journal of Emergency Medical Services
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• v.4 no.1
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• pp.63-71
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• 2000

Exceptive clause of ambulance stated in Road Traffic Laws of ambulance car accidents is not properly applied and emergency staffs who transfer over 85% of emergency cases are to be forced to start out to the emergency field with unstable conditions which they may be punished on the criminal and civil laws. Hereby this study makes the following suggestions to activate the duties of transferring emergency cases by emergency staffs, promote their morale and diminish the victim of emergency staffs due to traffic accidents. 1) It is prescribed that ambulance car drivers should be protected legally by applying the exceptive clauses thoroughly regulated in special case clauses because ambulance cars are used for the purpose of saving the human life. 2) On the traffic accidents occurred during the transfer of emergency cases, the special insurance system is created for treating the ambulance car accidents, not to bind the emergency staff's mistake to traffic law and the victims are compensated by the nation on the basis of insurance system and emergency staffs have the systematic security. 3) On the road over six lanes, emergency lane is set on the center and ambulance car should be used as the exclusive lane. 4) Ambulance car drivers must have the habit of transferring emergency cases rapidly within the range of legal operation.