• Journal of Korean Society of Transportation
• /
• v.28 no.1
• /
• pp.87-96
• /
• 2010

The impact speed estimation practice used in the car-bicycle accident analysis practice in Korea was mainly dependent on foreign study results which were tested with limited speed ranges and vehicle types, but the characteristics of roadway, human body, and vehicle performance were quite different. This study developed an impact speed estimation model using the car-bicycle accident field data. For this, a regression analysis was performed using the impact speed and bicycle throw distance collected from 23 real accident data, and statistical test was also conducted. For the verification of the induced model, the impact speeds derived from the model were compared with the true impact speeds estimated from skid marks of two accident cases. The result showed that the two speeds were very close to each other. It is believed that the model could be included in the car-bicycle accident analysis practice.

• Journal of Korean Society of Transportation
• /
• v.30 no.4
• /
• pp.43-59
• /
• 2012

Assuming a completed Smart Highway road & communication environment that allows real-time information collection and transmission of road traffic condition ahead, the purpose of this study is to develop a plan for inducing a network-level safe driving pattern by providing road traffic condition and safety information to multiple drivers through a road information provision device. In this study, the device with a function that displays different colors according to the hazard level to the existing delineator has been named 'Smart Delineator'. Smart Delineator is a device that provides not only alignment information but also safety information for drivers to receive real-time warning information and intuitively recognize road traffic condition ahead so that drivers can respond. To examine the effects of safety driving inducement level on drivers, a simulation test was conducted using driving simulator as well as a satisfaction survey. The result showed that the Smart Delineator was able to identify the location of occurrence and affecting driving according pattern, either adhering to recommended speed or reducing speed according to the pre-defined hazard level.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2012.05a
• /
• pp.960-960
• /
• 2012

우리나라는 지구온난화에 따른 기후변화에 의해 홍수피해가 점점 늘어나고 있는 실정이다. 이에 따라 홍수피해를 최소화 하는 주민대피체계를 제시하고 있지만 각각의 지자체의 특성을 반영하지 못하고 있다. 이재민 수용소의 인원이 부족하거나, 대피로 경로가 안전하지 못하여 2차 피해가 일어날 수 있는 가능성을 가지고 있는 곳들이 존재하고 있다. 이러한 상황에서 재해가 발생한다면 2차 피해가 발생할 가능성을 가지고 있기 때문에 이재민 수용소의 추가 지정과 대피로 경로를 새로 지정한다면, 재해 발생 시에 피해를 줄이고 보다 신속하고 안전한 대피가 이루어 질 것을 기대할 수 있다. 본 연구에서는 의령군이 현재 지정하고 있는 이재민 수용소 및 대피로를 평가하여 이재민 수용소를 재선정하였다. 의령군은 위험지역에 대해서 32개의 이재민 수용소를 지정하여 운영하고 있었으며, 그 규모는 7,165명을 수용할 수 있는 것으로 조사되었다. 하지만 이 중 봉수면과 의령읍은 이재민 수용시설의 규모가 대상지역의 대피 인원보다 작게 조사되어 이재민 수용소의 증원이 필요한 것으로 나타났으며, 가례천의 대피로는 하천을 wlsk가야 하는 경로로 지정되어 있어 2차 피해의 우려가 있는 것으로 나타났다. 이와 같이 수용인원이 부족한 이재민 수용소에 대해서는 증원을 통하여 문제를 해결하였고, 이재민 수용소의 위치는 피재자의 평균보행속도를 고려하여 15분 동안에 남녀가 이동할 수 있는 보행거리인 1,125m 이내에 위치하는 이재민 수용소를 채택하였다(유완, 도시의 재해대피소 적정 위치선정 2005). 이재민 수용소의 적절한 위치 선정을 통하여 지정한다면 재해발생시 피해를 최소화 할 수 있으며, 신속하고 안전한 대피를 할 수 있을 것으로 판단된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2008.05a
• /
• pp.329-336
• /
• 2008

Nowadays with advancement in technology and aging society, the number of disabled citizens is increasing. The disabled citizens always need a caretaker for daily life routines especially for mobility. In future, the need is considered to increase more. To reduce the burden from the disabled, various devices for healthcare are introduced using computer technology. The power wheelchair is an important and convenient mobility device. The demand of power wheelchair is increasing for assistance in mobility. In this paper we proposed a robotic wheelchair for mobility aid to reduce the burden from the disabled. The main issue in an autonomous wheelchair is the automatic detection and avoidance of obstacles and going to the pre-designated place. The proposed algorithm detects the obstacles and avoids them to drive the wheelchair to the desired place safely. By this way, the disabled will not always have to worry about paying deep attention to the surroundings and his path.

• Explosives and Blasting
• /
• v.17 no.2
• /
• pp.36-44
• /
• 1999

A study was made on the design of the prediction model concerning blasting vibration in a constraction site, Namgu, Daegu City. The geology in this area consists of hornfels of shale and mud underlain by quartize, of which the main strike of the geological structure is NW direction. Measurements were carried out on the top of the wall concrete water storage tank, which is burried in the ground earth. The attenuation due to the vertical wall of the concrete structure may be experted because of spherical divergency at the bottom corner of the wall by the Huygens principle. For design of blasting prediction model, thus among scaled distance(SD) may be preferable to use in the regression model, since they represents most likely the average ground condition. Judging from the regression results, the cube root method may be more suitable for this area. The SD values for the maximum allowable vibration velocity of 0.5 cm/s, in this area are 22.5, 28.0 and 30.6 for the significance level of 50%, 95% and 99%, respectively.

• Journal of Digital Convergence
• /
• v.10 no.10
• /
• pp.295-300
• /
• 2012

Various forward collision warning algorithms have studied in order to protect a car accident. For this, in general, algorithms using an external device such as a camera and sensor generate a forward collision warning. However, if using the external device, it can occur errors due to device characteristics when there is rain or fog. Also, the prevention of a chain-reaction collision is insufficient because the system generates a warning in case of only vehicle having a forward collision danger. If it combines the vehicle safety communications, the method becomes a solution to protect a chain-reaction collision. So, In this paper, we proposes a improved forward collision warning algorithm using the wireless communication technique, driver's information, breaking distance, and velocity. And we compare and analyze our algorithm and previous algorithms.

• Journal of Korean Society for Geospatial Information Science
• /
• v.3 no.2 s.6
• /
• pp.131-136
• /
• 1995

In this paper, We explain the development of helicopter avation information system which provides the current location and other pre-saved informations in order to guarantee the safe aviation. The system we developed has the functions such as displaying digital map data and current location, route planning, displaying the rate of deviation, calculating and displaying the cross sectional view through the route and providing a real-time speed, heading and other informations. In this system, we use GPS to get the current location, made the 1:250,000 digital map to display the current location and made the cross sectional view from the DEM(Digital Elevation Mode)) data to help safe aviation. This system provides many kinds of route setting methods by using UTM coordinates, Lati. Longi, coordinates, database of heliport location, scanned map, etc., and displaying the heading and distance. Moreover, it also has a characteristic of providing a consistent user interface.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.23 no.1
• /
• pp.82-96
• /
• 2024

While analyzing traffic flow, speed, traffic volume, and density are important macroscopic indicators, and acceleration and spacing are the important microscopic indicators. The speed and traffic volume can be collected with the currently installed traffic information collection devices. However, acceleration and spacing data are necessary for safety and autonomous driving but cannot be collected using the current traffic information collection devices. 'You Look Only Once'(YOLO), an object recognition technique, has excellent accuracy and real-time performance and is used in various fields, including the transportation field. In this study, to measure acceleration and spacing using YOLO, we developed a model that measures acceleration and spacing through changes in vehicle speed at each interval and the differences in the travel time between vehicles by setting the measurement intervals closely. It was confirmed that the range of acceleration and spacing is different depending on the traffic characteristics of each point, and a comparative analysis was performed according to the reference distance and screen angle to secure the measurement rate. The measurement interval was 20m, and the closer the angle was to a right angle, the higher the measurement rate. These results will contribute to the analysis of safety by intersection and the domestic vehicle behavior model.

• Journal of the Institute of Convergence Signal Processing
• /
• v.23 no.2
• /
• pp.91-96
• /
• 2022

At the current camera-based technology level, sensor-based basic life pattern recognition technology has to suffer inconvenience to obtain accurate data, and commercial band products are difficult to collect accurate data, and cannot take into account the motive, cause, and psychological effect of behavior. the current situation. In this paper, radar technology for life pattern recognition is a technology that measures the distance, speed, and angle with an object by transmitting a waveform designed to detect nearby people or objects in daily life and processing the reflected received signal. It was designed to supplement issues such as privacy protection in the existing image-based service by applying it. For the implementation of the proposed system, based on TI IWR1642 chip, RF chipset control for 60GHz band millimeter wave FMCW transmission/reception, module development for distance/speed/angle detection, and technology including signal processing software were implemented. It is expected that analysis of individual life patterns will be possible by calculating self-management and behavior sequences by extracting personalized life patterns through quantitative analysis of life patterns as meta-analysis of living information in security and safe guards application.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2015.05a
• /
• pp.301-303
• /
• 2015

디지털 운행기록장치는 대한민국의 경우 2011년부터 상용차에 대해 법령으로 장착이 의무화되었다. 이 장치는 자동차의 속도, 주행거리, 브레이크 상태, GPS 위지청보 등을 수집하는 기록 장치로서 이를 통해 수집된 정보로 운전 형태를 파악하고 분석해준다. 그러나 초기 장치 구입비용과 전송 방식에 따른 월별 통신서비스 비용 때문에 일반 운전자의 사용이 제한된다. 따라서 본 연구는 일반 운전자도 위험운전행동을 분석하고 파악하여, 결과를 제공하는 스마트폰 어플리케이션의 설계 및 구현을 목적으로 한다. ECU(Electronic Control Unit)에서 얻을 수 있는 주행 데이터(가속 제동, 속도, 운전 시간 등)를 OBD-II(On-Board Diagnostic version II) Scanner를 통해 수집한다. 이 정보를 바탕으로 위험운전평가 알고리즘을 이용하여 실시간 분석한다. 상기 알고리즘은 대한민국의 교통안전공단에서 제공하는 위험운전(11종)에 대한 정의를 바탕으로 한다. 이를 통해 분석된 결과는 실시간으로 사용자에게 제공되며, SQLite를 이용하여 DB에 저장되고 통신사의 이동통신(3G,4G) 혹은 Wifi의 네트워크를 이용하여 연계 서버에 전송된다. 이 위험 운전 분석 어플리케이션을 통해 운전자들의 안전 운전을 유도하고자하며, 추후 운전습관 연계 보험의 도입에 따라 합리적이고 공정한 데이터를 제공하고자 한다.