• International Journal of Highway Engineering
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• v.19 no.2
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• pp.167-174
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• 2017

PURPOSES: This study aims to analyze the impact of the implementation of a school zone traffic safety improvement project on the number of accidents involving children in these zones. METHODS : To analyze the correlation between school zone traffic safety features of roads in the zone and the number of accidents involving children, we developed an occurrence probability model of traffic accidents involving children by using a binary logistic regression model with SPSS 23.0 software. Two separate models were developed for two zones: interior block and arterial road. RESULTS :The model depicted that in the case of the interior block, shorter sidewalk width, speed bump, and an elevated crosswalk were key factors affecting the occurrence of accidents involving children. In the case of arterial roads exceeding a width of 12 m, the speed limit, roadside barriers, and red paving of road surfaces were found to be the key factors. CONCLUSIONS:The results of this study can serve as the elementary research data to help improve the effectiveness of school zone traffic safety improvement projects and school zone road repair projects in future.

• Journal of the Korean Society of Marine Environment & Safety
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• v.16 no.2
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• pp.209-214
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• 2010

This study examined environmental condition, marine accidental data, marine traffic capacity and traffic flow, and fisheries zone status near Ulsan approaching water area. A questionnaire survey of marine traffic system was conducted on experts and users, and new plan was proposed. On the basis of the responses of experts and users to questionnaire, the essential factor of navigation danger and the essential factor of collision risk as well as the improvement plans were proposed. More efficient navigational fairway was set up through this study.

• Journal of Pharmacopuncture
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• v.10 no.3
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• pp.91-99
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• 2007

Objective The purpose of this study is to investigate the difference of treatment effect between Oriental Medicine therapy and Oriental and Western Medicine combination therapy on traffic accident patients. Methods Sixty one traffic accident patients were randomly assigned to the Oriental Medicine therapy group(group I)and Oriental and Western Medicine combination therapy group(group II). Evaluations were made before treatment, after one week treatment and after two weeks treatment using Visual Analog Scale(VAS), Oswestry disability Index(ODI), Neck Disability Index(NDI), Roland Morris Disability Scale(RMDS). The obtained data were analyzed and compared. Results The group I showed significant improvement(p<0.05) according to the VAS, NDI. But that showed insignificant improvement according to the ODI, RMDS. The group II showed significant improvement(p<0.05) according to the VAS, NDI. But that showed insignificant improvement according to the ODI, RMDS. And the difference between the two groups were insignificant according to VAS, NDI, ODI and RMDS. Conclusion There is no significant difference between the two groups after each therapy on traffic accident patients. Further studies are needed for the comparison of the Oriental Medicine therapy and Western Medicine combination therapy.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.1
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• pp.15-27
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• 2013

While the vehicle detector is collected from a variety of information was mainly used as a real-time data. Recently scheme of application for archived traffic data has become increasingly important. In this background, this research were conducted on the improvement of the preprocessing for archived traffic data application. The purpose of improving specific preprocessing was reflect transportation phenomena by traffic data. As evaluation result, improvement preprocessing was close to the actual value than exist preprocessing.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2003.04a
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• pp.409-414
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• 2003

In the beginning of the 21s1 century, the world has been making rapid progress and changed all over the areas. Like the rest, as all domiciliary circumstances for a local development have changed, the continuous development considered environmental view has been accounted as much compared with the high growth-oriented development based on the efficiency so far. As the volume of traffic in urban community increases, the environmental load enlarges inevitably. Particularly, the excess and deficiency problems for all sorts of traffic facilities, like the shortage of parking lots continue to happen in proportion to the increase in traffic. For a design to solve these problems, introduction of the Geographic Information System; GIS applied widely over various fields become necessary. In this research, the supply-demand situation in urban areas is observed. The application of GIS for the purpose of the improvement of parking lot management technique to control effectively facilities related to parking lot in the city brings promoting the efficiency of business data inquiry, data management data correction and so on through graphic and non-graphic database for every kind of draft data, record and register data. The graphic users interface to support effective decision-making is applied for the improvement of work in this study. This research also suggests the way to utilize common database considered linkage with sub-systems related existing urban information system by developing the parking lot management system.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.3 no.1
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• pp.105-111
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• 2003

This paper is researching the storing of 40 different kinds of conditions. Such as, car speed, delay in starting time and the volume of cars in traffic. Through the use of a central nervous networking system or AI, using 10 different intersecting roads. We will improve the green traffic light. And allow more cars to easily flow through the intersections. Now days, with increasing many vehicles on restricted roads, the conventional traffic light creates prove startup-delay time and end-lag-time. The conventional traffic light loses the function of optimal cycle. And so, 30-45% of conventional traffic cycle is not matched to the present traffic cycle. In this paper proposes electro sensitive traffic light using fuzzy look up table method which will reduce the average vehicle waiting time and improve average vehicle speed. Computer simulation results prove that reducing the average vehicle waiting time which proposed considering passing vehicle length for optimal traffic cycle is better than fixed signal method which dosen't consider vehicle length.

• 한국ITS학회:학술대회논문집
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• v.2006 no.10
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• pp.295-299
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• 2006

• 한국ITS학회:학술대회논문집
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• v.2006 no.10
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• pp.276-280
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• 2006

• Transportation Technology and Policy
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• v.7 no.1
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• pp.93-102
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• 2010

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.2
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• pp.167-182
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• 2022

The accident data attributes of the traffic accident report are used not only in traditional traffic safety-related research to identify the cause of traffic accidents, but also as basis data for the development of the automated vehicle driving performance verification scenarios. However, since the data attributes of the traffic accident report are limited for the purpose of reconstructing the traffic situation and developing scenarios, this study aims to provide the directions for improvement of traffic accident report, ultimately for its expanded usability for the automated vehicle test scenarios. The directions for improvement of the traffic accident report are provided by categorizing the traffic situation before the accident (pre-crash), the situation immediately before or during the accident (on-crash), and the situation after the accident (post-crash), respectively. Additional data items or data processing methods are presented. Furthermore, data elements that can be extracted from the traffic accident process data in the unstructured narrative form are explored and provided.