• Proceedings of the KSR Conference
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• 2002.05a
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• pp.94-99
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• 2002

The traffic policy of a city in Korea has brought to many traffic problems by putting emphasis on the only side of mobility in the past that the personal transportation was put first in importance more than the public transportation. As the result of this policy, in the process that the traffic policy of large cities in Korea changes into accessibility, it is shown for re-lighting up the development of the public transportation to be going to be able to get many suggestions in searching for the desirable developing direction of the new means of transportation that will arrive at Korea in the future. Especially, compared with the policy of U.S.A. on the traffic plan that has concentrated on the road and the vehicle, and that of Europe that has put first in the walking and the public transportation system, it is considered as an important thing that the lesson is given to us about what is important for the desirable city development. Transportation can be divided into four; a railroad transportation. a road transportation, a marine transportation, and an aerial transportation.

• Journal of Korean Institute of Industrial Engineers
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• v.26 no.4
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• pp.354-362
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• 2000

Increasing amount of road tragic in 90's has drawn much attention in Korea due to its influence on safety problems. Various types of data analyses are done in order to analyze the relationship between the severity of road traffic accident and driving conditions based on traffic accident records. Accurate results of such accident data analysis can provide crucial information for road accident prevention policy. In this paper, we apply several data fusion, ensemble and clustering algorithms in an effort to increase the accuracy of individual classifiers for the accident severity. An empirical study results indicated that clustering works best for road traffic accident classification in Korea.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.5
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• pp.1007-1017
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• 1997

The existing survivability measure is defined as the only ratio of survival traffic volume on the given traffic demand. In this paper we suggest a new network survivability evaluation model. Sinceit depends on the importance of traffic, we can evaluatethe affect of telecommunication disaster. With the suggested evaluation model we formulate optimization models for restoration paths and traffic assinment on them. The optimization models are represented as mixed integer programming problems, which are difficult to find exact solutions. We develop heuristic algorithms according to the optimization models and apply them to an example network with 10 nodes and 17 links.

• Journal of the Korea Safety Management & Science
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• v.18 no.4
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• pp.73-80
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• 2016

This study highlights the main effect of job demand, work shift, work environment and stressors on the railway traffic controller's health, and the moderating effect of work0life balance. The result of empirical analysis based on questionnaires received from 328 traffic controllers working at 10 railway operating companies indicates that job demand, work shift, work environment and stressors have significant effect on their health, among which stressors is a major factor. In the respect of moderating effect, WLB showed no significance except for job demand. This result implies that controller's health can not be enhanced through their individual family or leisure life. Therefore, effective countermeasures and policy to mitigate their health problems and heal their symptoms are urgent.

• Proceedings of the KSR Conference
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• 2008.11b
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• pp.732-741
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• 2008

After freight train line opening between Munsan of South Korea and Bongdong of North Korea last December 2007, people's expectation and interest about trans North-South and continental railways have been increasing. However, the commercial traffic of freight by train has not been increased as much as we expected in the mean time road traffic is more increased. This study examined the Kaesong industrial complex which has a high rail accessibility. Especially, we interviewed the owners of enterprises in Kaesong to integrate their opinions for deriving the problems and improving the business conditions. Also, this study embodied the methods for improving rail freight traffic between North and South Korea. Based on this study, we expect more research will carry out on this field to reform the operation system of trans Korea railways by Kaesong industrial complex development project and the commercial reconversion from road to rail.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.886-891
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• 2005

The frequent maintenance required on some asphalt concrete (AC) pavement sections has made reconstruction with Portland Cement Concrete Pavement (PCCP) a feasible alternative. However, many constructability issues need to be addressed in order to realize the full potential of this alternative. Accelerated paving encompasses three classes of activities: methods to accelerate the rate of strength gain, methods to minimize the construction time, and traffic control strategies to minimize user delay. Three major AC intersections with severe rutting problems were reconstructed with PCCP. The entire reconstruction of each intersection, including demolition of the AC pavement and its replacement with PCCP, took place over a period of three days, starting on Thursday evening and opening the intersection to the traffic on Sunday afternoon. This paper discusses the use of PCCP for accelerated reconstruction of major urban intersections with minimal user and traffic disruption, using innovative construction techniques and traffic management optimization principles and demonstrates that concrete pavements can be constructed efficiently and quickly.

• Journal of Korean Port Research
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• v.12 no.1
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• pp.65-73
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• 1998

Pusan Metropolitan City has developed 'HANARO Card' system. It is a sort of multi-function card systems which has devised to resolve many traffic problems, to improve public transportation services, to build advanced transit information systems, to encourage reasonable operation of the public transit companies, and to obtain basic informations for devising transportation policies. This study aims at reviewing the systems of 'HANARO Card', analysing the situation of usage of the card, and suggesting some issues for improving the system. Main finding is that the major effects of the introducing HANARO traffic card are convenience (to pay a charge) in using transit, public parking lots, city freeway toll for citizens, and saving in personnel expenses, maintenance expenses for buses, subway and taxi companies. It is also found that HANARO traffic card system needs to be expended to be compatible with other fields of economic activities.

• Journal of Information Processing Systems
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• v.2 no.1
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• pp.39-43
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• 2006

In this paper, we proposed TASL-MAC, a medium-access control (MAC) protocol for wireless sensor networks. In wireless sensor networks, sensor nodes are usually deployed in a special environment, are assigned with long-term work, and are supported by a limited battery. As such, reducing the energy consumption becomes the primary concern with regard to wireless sensor networks. At the same time, reducing the latency in multi-hop data transmission is also very important. In the existing research, sensor nodes are expected to be switched to the sleep mode in order to reduce energy consumption. However, the existing proposals tended to assign the sensors with a fixed Sleep/Listening schedule, which causes unnecessary idle listening problems and conspicuous transmission latency due to the diversity of the traffic-load in the network. TASL-MAC is designed to dynamically adjust the duty listening time based on traffic load. This protocol enables the node with a proper data transfer rate to satisfy the application's requirements. Meanwhile, it can lead to much greater power efficiency by prolonging the nodes' sleeping time when the traffic. We evaluate our implementation of TASL-MAC in NS-2. The evaluation result indicates that our proposal could explicitly reduce packet delivery latency, and that it could also significantly prolong the lifetime of the entire network when traffic is low.

• Journal of Korean Society of Transportation
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• v.33 no.3
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• pp.223-236
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• 2015

This study dealt with regional characteristics in car insurance for reduction of traffic accidents. The objective was to establish scientifically the verification procedure in the application of regional auto insurance rate. To specify the objective, this study conducts the correlation analysis between factors which are various in each local traffic environment and the loss ratio in automobile insurance. Also, this provides a correlation and a modal in loss ratio, classifying human factors in locality in major cause result from traffic accident. Based on the results, this brings up the problems with applying a uniform criterion for automobile insurance rate although various factors have effect on traffic accidents in locality. Therefore, what stands out most from this study is that a policy on automobile insurance applied to regional factor should be introduced.

• IEIE Transactions on Smart Processing and Computing
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• v.6 no.4
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• pp.281-291
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• 2017

Nowadays, as traffic jams are a daily elementary problem in both developed and developing countries, systems to monitor, predict, and detect traffic conditions are playing an important role in research fields. Comparing them, researchers have been trying to solve problems by applying many kinds of technologies, especially roadside sensors, which still have some issues, and for that reason, any one particular method by itself could not generate sufficient traffic prediction results. However, these sensors have some issues that are not useful for research. Therefore, it may not be best to use them as stand-alone methods for a traffic prediction system. On that note, this paper mainly focuses on predicting traffic conditions based on a hybrid prediction approach, which stands on accuracy comparison of three prediction models: multinomial logistic regression, decision trees, and support vector machine (SVM) classifiers. This is aimed at selecting the most suitable approach by means of integrating proficiencies from these approaches. It was also experimentally confirmed, with test cases and simulations that showed the performance of this hybrid method is more effective than individual methods.