• Journal of Korean Society of Transportation
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• v.28 no.3
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• pp.109-117
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• 2010

The purpose of advanced traffic information system(ATIS) is to help drivers save time and energy in getting to their destinations by providing traffic information through variable message sign(VMS), internet, traffic broadcasting and mobile phones. ATIS does not just provide drivers with benefits in terms of time and energy, but it provides them with psychological benefit as well, i.e., the drivers can relieve their anxiety by getting provided with traffic information. In this study, the efficiency of traffic information system is evaluated and degree of satisfaction of drivers with the system is analyzed by building satisfaction models of various media of traffic information. Each medium has different factors for satisfaction and each factor has different degree of influence, but in general, the efficiency of traffic information in helping drivers choose routes and in providing drivers with peace of mind is considered to have the highest influence on satisfaction of drivers with the system.

• Journal of the Korean Society of Safety
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• v.27 no.4
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• pp.108-114
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• 2012

Traffic Accident Merging Index(TAMI) is developed for TMACS(Traffic Safety Information Management Complex System). TAMI is calculated by combining 'Severity Index' and 'Frequency'. This paper suggest the accurate TAMI prediction model by time series forecasting. Preventing the traffic accident by accurately predicting it in advance can greatly improve road traffic safety. Searches the model which minimizes the error of 230 local self-governing groups. TAMI of 2007~2009 years data predicts TAMI of 2010. And TAMI of 2010 compares an actual index and a prediction index. And the error is minimized the constant where selects. Exponential Smoothing model was selected. And smoothing constant was decided with 0.59. TAMI Forecasting model provides traffic next year safety information of the local government.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2012.06a
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• pp.172-174
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• 2012

The maritime traffic system research has been studied for the safety and efficiency of the Marine Navigation. In order to evaluate the maritime traffic system, the vessel traffic observation is playing important roll. Recently, the way of collecting the vessel traffic information has been become fixed by using the radar, the AIS and the visual observations. However, it is still difficult to get the information about ships without the AIS. In this paper, the past vessel traffic observation results are shown. From those data and introducing the way of Japanese traffic survey, the recent matters of the vessel traffic observation are discussed.

• Journal of the Korean Society of Safety
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• v.27 no.3
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• pp.147-152
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• 2012

Traffic Accident Merging Index (TAMI) is developed for TMACS (Traffic Safety Information Management Complex System). TAMI is calculated by combining 'Severity Index' and 'Frequency'. The existing indexes are Traffic deaths per 100,000 population, Traffic deaths per 100,000 inhabitants/per billion veh-km, etc. However, there is no consistency in using them among local governments, so it can create confusion. Moreover, the index level is too complicated to understand. Therefore, this study suggests new traffic safety index, TAMI. It will work to improve the weaknesses and present accurate status of traffic safety in local governments.

• Journal of Korean Society of Transportation
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• v.26 no.3
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• pp.85-95
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• 2008

The purpose of this study is to reduce a high speed driving, it is a large scale traffic accident as the most dangerous fact on the highway. So traffic accidents related to high speed driving, a number of automated speed enforcement system has been established up to now. At present automated speed enforcement system in Korea control overspeed vehicle only in the specific spot. Because the drivers generally recognize the previous stated fact. therefore, we need speed control by new system. it is necessary to establish the automated traffic enforcement system based on the travel time speed. In conclusion, we obtain the desired results about automated traffic enforcement system based on the travel time speed. it is important that the number of traffic accidents has decreased and try to secure the safety of traffic.

• Journal of Korean Society of Transportation
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• v.21 no.2
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• pp.83-94
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• 2003

Many cities, recently, have convertedoptimized fixed-time control to adaptive traffic system in the control of their signalized traffic network. The expected benefit from the adaptive traffic system is its ability to constantly modify signal timing to most effectively accommodate changed traffic conditions. While the potential benefits from this control structure may be significant, few studies have compared the effect of implementing this method of signal control against other alternative signal control strategies, because it is too difficult to evaluate the efficiency of the real-time adaptive system. The objectives of this research are : to develop a microscopic simulator and to compare the effect at isolated intersections, corridors, and networks between the fixed signal timing plan and adaptive traffic signal system. This simulator will have allowed more sophisticated analysis techniques for the study of traffic control. Also, this research using this simulator evaluated a real-time traffic responsive signal system used in Seoul Korea

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.460-468
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• 2019

Recently, analysis techniques to extract new meanings using big data analysis and various services using these analysis techniques have been developed. Among them, the transport is one of the most important areas that can be utilized about big data. However, the existing traffic route guidance system can not recommend the optimal traffic route because they use only the traffic information when the user search the route. In this paper, we propose a realtime optimal traffic route guidance system using big data analysis. The proposed system considers the realtime traffic information and results of big data analysis using historical traffic data. And, the proposed system show the warning message to the user when the user need to change the traffic route.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.1
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• pp.42-58
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• 2008

Nowadays the installation of Real-time Traffic Signal Control system is gradually spread, in order to solve the traffic problem which become serious. The most important thing are reliability of data collection and functionality of system in Real-time Traffic Signal Control System. But, the evaluation for those introduction system are defective after system constructing. So, many systems are not working properly to those systems's primarily purpose. This study is executed expansion through field test and analysis which check performance and advise of system operation. It has purpose to establish of the maintenance system of Real-time Traffic Signal Control system. As the result of analysis, we could find the several problems in this study. So, we also could guess that the effective maintenance systems of the Real-time Traffic Signal Control system is necessary within few years.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.8 no.6
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• pp.127-132
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• 2008

Traffic intersection control is implemented by the data which is acquired to vechile loop detector. Traffic intersection control equation is Webster equation. which use passig and delayed vechile number. But webster equation is applied to the spot traffic intersection, it is not used to related traffic intersection network system. There is not the approprate remote traffic intersection control, even if there is, it is high cost local network system. Therefore low cost and expert traffic intersection control is realized by internet referencing next and distant intersection traffic information.

• International Journal of Contents
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• v.14 no.2
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• pp.24-29
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• 2018

In this paper, we propose an efficient traffic light detection (TLD) method as an advanced driver assistance system (ADAS) for elderly drivers. Since an increase in traffic accidents is associated with the aging population and an increase in elderly drivers causes a serious social problem, the provision of ADAS for older drivers via TLD is becoming a necessary(Ed: verify word choice: necessary?) public service. Therefore, we propose an economical TLD method that can be implemented with a simple black box (built in camera) and a smartphone in the near future. The system utilizes a color pre-processing method to differentiate between the stop and go signals. A mathematical morphology algorithm is used to further enhance the traffic light detection and a circular Hough transform is utilized to detect the traffic light correctly. From the simulation results of the computer vision and image processing based on a proposed algorithm on Matlab, we found that the proposed TLD method can detect the stop and go signals from the traffic lights not only in daytime, but also at night. In the future, it will be possible to reduce the traffic accident rate by recognizing the traffic signal and informing the elderly of how to drive by voice.