• Journal of Korean Society for Quality Management
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• v.27 no.1
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• pp.151-164
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• 1999

Black spots of road traffic accidents are identified and managed in order to prevent potential future accidents. We first pinpoint some problems associated with the current way of defining Black spots in Korea. Next, we show how u and x control charts can be applied to improve those problems. Some suggestions are made for practical utilization of our research findings.

• Journal of the Korea Society of Computer and Information
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• v.15 no.8
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• pp.173-180
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• 2010

This research aims to enhance the security and safety of bicycle facilities by utilizing convergence technology of ubiquitous sensor network in the transportation system. To achieve the aim, U-bike system has developed by utilizing sensor network technology, and the serviceability and safety function of public facilities in the system have enhanced. This research also presents a plan for the construction of U-bike using ubiquitous sensor network and safety infrastructure of facilities by analyzing bicycle traffic reports and characteristics of service through studying the literature on the security of bicycles and the safety of facilities on bicycle lanes. The result of this research will contribute to the enhancement of safety function of bicycle lanes and facilities around National 4 major rivers bicycle lanes in the future.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.11
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• pp.2575-2580
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• 2013

In this paper, we watch out key measure of the level of transportation service about travel time and delay time. And we measured vehicle traffic by moving vehicle method using CCTV which is one of the travel time measure. We should be measured in place of continuous traffic flow characteristics with wide traffic light interval. In addition, traffic flow on the other side of the interval must be sufficiently identifiable and at the end of this section must be possible U-turn. This method it requires only the driver of the vehicle because of the CCTV measure. In addition, We cannot require time, distance, and traffic equipment that can be recorded. Because equipped with the software to do that. In addition to traffic, average travel time, average space speed, traffic density are also available.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.4
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• pp.92-106
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• 2017

The adverse weather is known as a factor that interrupts traffic flow and causes traffic accidents and traffic congestion by lowering visibility of drivers. Especially, in case of fog unlike any other weather conditions, traffic accidents lead to serious accidents and the fatality of the accidents is known to be high. This paper aims to analyze uninterrupted traffic flow characteristics under foggy conditions among adverse weathers. The traffic volumes and speeds under foggy and normal conditions were analyzed. Results indicated that fog with low visibility causes the most insignificant reduction in traffic volumes. On the other hand, the reduction in the speeds due to low visibility was evident. In addition, the relationship between flow, speed, and density in fog were analyzed. Analysis results showed that the fog with less than 200m visibility had clear impact on traffic flow.

• Journal of Korean Society of Transportation
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• v.19 no.6
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• pp.65-73
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• 2001

Until recently, we use only weekly and monthly adjustment factors in order to estimate the AADT. By the way. we can suppose that the traffic is time series data related to flow of time. So we tried to analyse traffic patterns using time series analysis and apply them to estimate the AADT. We could divide traffic patterns into trend, cyclic variation, seasonal variation and irregular variation like as time series data. Also, in order to reduce random error components, we have looked for the weather conditions as an influential factor. There are many weather conditions such as rainfalls, but, temperatures, and sunshine hours among others but we selected rainfalls and lowest temperatures. And then, we have estimated the AADT using time series factors. To compare the results of, we have applied both irregular variation joined to weather factors and that not joined to. RMSE and U-test were opted at methods to appreciate results of AADT estimation.

• The Journal of the Korea institute of electronic communication sciences
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• v.2 no.3
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• pp.191-198
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• 2007

It needs an Integration Management Center in u-City to mange all events for an efficiency of city function, to enhance an installed infrastructure of information, and to provide u-Service like residence, administration, and culture in real time. Integration Management Center is a place to provide a city information from gathering data of communication network, traffic network, and facilities. The u-Services in Integration Management Center need an Integrated Platform to integrate verticality and horizontality between service layer. This paper study an infrastructure of Integration Operation Center and Integrated Platform. Lastly the topics are suggested how to make it a success in u-City.

• Proceedings of the Korea Contents Association Conference
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• 2005.11a
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• pp.88-93
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• 2005

Recently many researchers are keen interested in the concept of ubiquitous using mobile internet and RFID. Busan also plans to build a first U-city in the areas of port logistics, traffic, tourism convention, medical service. It is important to be accepted by consumers for U-tourism convention service adoption to determine the future growth potential. The purpose of this paper thus examines the effect of tourism contents on U-tourism convention service adoption using technology acceptance model.

• Journal of Institute of Control, Robotics and Systems
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• v.17 no.3
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• pp.199-205
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• 2011

This paper presents an algorithm capable of detecting free space for the autonomous vehicle navigation. The algorithm consists of two main steps: 1) estimation of longitudinal profile of road, 2) detection of free space. The estimation of longitudinal profile of road is detection of v-line in v-disparity image which is corresponded to road slope, using v-disparity image and hough transform, Dijkstra algorithm. To detect free space, we detect u-line in u-disparity image which is a boundary line between free space and obstacle's region, using u-disparity image and dynamic programming. Free space is decided by detected v-line and u-line. The proposed algorithm is proven to be successful through experiments under various traffic scenarios.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.213-215
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• 2011

USN(Ubiquitous Sensor Network) 환경은 언제, 어디서나 정보를 이용할 수 있게 한다. 이러한 유비쿼터스 환경은 자유로운 커뮤니케이션을 보다 쉽게 제공할 수 있으며, 특히 u-교통 환경을 구축하는데 기본적인 요소기술이 된다. 또한 u-교통 환경을 구축하기 위해서는 차량의 위치를 보다 정확히 인식할 수 있는 기술이 요구된다. 위치측정은 센서노드의 전파를 이용하거나 거리를 측정할 수 있는 센서를 활용하여 목표물의 위치를 계산한다. 본 논문은 센서노드의 RSSI(Received Signal Strength Indication) 신호 값을 분류하고 주변노드의 위치와 통신범위 및 세기정보를 최대한 활용하여 이동차량을 보다 정확하게 추적할 수 있는 위치추적기법을 제시한다. 일부 시뮬레이션 결과, 제안된 기법이 기존 위치추적 알고리즘 보다 u-교통 환경에서 위치추적의 정확도가 우수함을 증명하였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.3
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• pp.131-137
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• 2010

UMSN (Ubiquitous Medical Sensor Network) is being used in u-Healthcare system of various medical facilities to identify objects and get information from sensors in real-time. RFID using radio frequency determines objects using Reader, which reads Tags attached to patients. However, there is a security vulnerability wherein Tag send its ID to illegal Reader because Tags always response to Readers request regarding of its Tag ID. In this paper, we propose Tag ID Classification Scheme to reduce Back-end Server traffic that caused by requests to authenticate between Readers and Tags that are attached to medical devices, patients, and sensors; To reduce security threats like eavesdropping and spoofing that sometimes occurred during authentication procedure. The proposed scheme specifies the patient category as a group based on patients Tag ID string. Only allowed Reader can perform authentication procedure with Back-end Server. As a result, we can reduce Back-end Server traffic and security threats.