• Korean Security Journal
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• no.40
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• pp.147-174
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• 2014

Motorcycle patrol is used for traffic control and enforcement in highly congested areas. One of the major problems with this form of patrol is that it is extremely dangerous since just about any type of accident tends to cause harm to the rider. The purpose of this study is to analyze the effectiveness of police motorcycle patrol, and to suggest the methods for improving the effectiveness of police motorcycle patrol. This study conducts the survey on 139 policemen that belong to Daejeon Provincial Police Agency that had implemented motorcycle patrol. By factor analysis, the intimacy between policemen and citizens, the excellence of patrol devices, the speed of response, and the appropriacy of patrol method are grouped as the independent variables. And the dependent variable is the effectiveness of police motorcycle patrol. The results of this study demonstrates that the effectiveness of police motorcycle patrol is affected statistically by the speed of response, the appropriacy of patrol, and the intimacy between policemen and citizens. But, the intimacy between policemen and citizens affected the effectiveness negatively. Therefore, police department must make the effort for increasing the speed of response and enhancing the appropriacy of patrol. Also, police department must make patrolmen sincerely conscious of the value of police-community relation.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2017.11a
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• pp.305-306
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• 2017

한국도 더 이상 총기안전지대가 아니며, 강력범죄도 지속적으로 증가하고 있는 상황에서 경찰관의 신체 생명을 적극적으로 보호하면서 무기 사용을 최소화 할 수 있도록 경찰관 장비에 대한 개선점이 필요하다. 장비에 대한 지급이 미흡한 시점에서 경찰관의 안전과 치안유지를 담당하기 위해서는 장비에 대한 보급과 착용이 우선적으로 진행되어야 하며, 경찰 출동차량에 반드시 방탄복, 방검복, 방검장갑, 안전헬멧 등을 필수 배치해서 범죄현장에 대처해야 한다.

• Analytical Science and Technology
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• v.29 no.3
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• pp.136-141
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• 2016

In the present study, the distribution of glass particles inside 10 patrol cars of Chungnam Province has been studied. The target seats were front seats (driver’s seat, passenger’s seat) and the back seat. The target areas were the bottom of the seat (seat contacting buttocks, back of the seat, and the corner of the seat (the bottom and back attached part)). The target areas were tape lifted with an adhesive tape. The glass particles adhering to the adhesive tape were examined and counted under a stereomicroscope. The total number of glass particles found was 679. Among them, 471 (driver’s seat 293, passenger seat 178) were collected from front seats, which are usually occupied by police officers. The majority of glass particles were under 0.49 mm size. The results show that the majority of glass particles can be found on the front seats, rather than on the back seat. There is a high probability that glass particles found on the front seat adhere to police officers, so that to get further transferred to the convict upon physical contact (secondary transfer). Thus, there is a risk of misinterpretation of the value of glass evidence in the course of forensic examinations. Hence, a separate method to prevent cross contamination has to be prepared by police authorities as soon as possible.

• Journal of the Korean Institute of Gas
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• v.3 no.2 s.7
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• pp.17-23
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• 1999

The wire and/or wireless data communication system for anti-disaster system of natural gas governor station was developed. In oder to prevent accidents of governor station, the operator was replaced by RTU(Remote Terminal Unit) which gather and transmit safety situation of governor station. The database and MMI(Man Machine Interface) were also developed to analyze the situation of governor station. The data communication between server and RTU was designed to switch automatically from wire to wireless communication and vice versa when one of them failed communication. We also have developed the patrol car management system which was applied GPS(Global Position System)/GIS(Geometric Information System), and the earthquake detection/transmission system which was adopted three dimension acceleration sensor. When a earthquake may occur, the earthquake detection/transmission system monitors data such as PGA(Peak Ground Acceleration), Sl(Spectrum Intensity) and orders the emergency shutoff valve close immediately.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.603-611
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• 2020

Potholes on the road directly affect drivers' safety, satisfaction, and vehicle damage. Thus, real-time detection and response are required. Increasing frequency of patrols allows for potholes to be detected and responded to quickly, but this takes much manpower, money, and time. In addition, potholes have different occurrence characteristics depending on the rain conditions, so it is necessary to consider the optimal frequency from an economic and road-service perspective. Therefore, a quantitative analysis was done on the effects of rainfall on the occurrence characteristics of potholes. Information on the persistence, impact of rainfall intensity, and weather information was collected over a long period. Based on the results, a risk-based, optimized, and changeable road-patrol strategy is presented. The analysis results show that the probability of pothole occurrence increases by 2.4 times in rainy weather. Furthermore, the impact continues for 3 days even after the rain stops. The probability of pothole occurrence increases by 0.46% per 1 mm of rainfall, and the occurrence characteristics react sensitively to even a small amount of rain of around 1 mm. It was concluded that road patrol is required at least once every three days for an effect-free period, while twice a day is needed for the "sphere of influence" period to achieve a 95% reliability level.ys for effect-free period, while twice a day for sphere of influence period to satisfy 95% reliability level.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.479-480
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• 2022

고속으로 차량이 주행하는 도로에서 정지 차량이나 낙하물은 큰 사고를 유발하기에 이에 대한 대처 방안이 요구되고 있다. 갑작스런 정지 차량의 경우 예상 불가능하며, 낙하물은 순찰대를 편성하여 주기적으로 수거하고 있으나 즉각적인 대응이 어렵다. 해당 문제 해결을 위해 본 논문에서는 딥러닝 실시간 객체인식기술을 적용하여 정지 차량 및 도로 위 낙하물을 인식하며 이에 대한 정보를 제공하는 시스템을 개발하였다. 실시간 객체인식 알고리즘인 YOLOX와 실시간 객체추적기술인 deepSORT 알고리즘을 데스크톱 PC에 적용하여 구현하였다. 개발한 시스템은 정지 차량 및 낙하물에 대한 인식 결과를 제공한다. 기존 설치된 CCTV 영상을 대상으로 시스템 적용이 가능하여 저비용으로 넓은 지역에 대한 도로 위험 상황 인식을 기대할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.1269-1272
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• 2021

급격한 차량 수요의 증가로 인한 주차공간의 부족으로 인력기반 주차관리의 한계점을 이용한 여러 위법 행위가 발생함에 따라 관리자의 정기적인 순찰 및 관리의 필요성이 증가하고 있다. 기존 인력기반 주차관리 시스템은 관리자에게 전적으로 의존하고 있어 관리의 정확도 및 효율성이 비교적 낮다. 본 논문에서는 엣지 컴퓨팅 기반의 클라우드 주차관리 시스템을 제안하며, 이는 효율적인 주차관리를 통한 시간과 노동력 절감에 기여한다. 본 시스템이 제공하는 주요 기능은 다음과 같다. 1) 주차구역 및 주차 차량 정보를 분석하여 입·출차를 관리하고 관리자에게 실시간 주차 현황 정보를 제공한다. 2) 추출된 차량 정보를 바탕으로 부정주차 여부를 감지하여 지정주차 구역 관리를 자동화한다. 3) 관리자에게 시간대별 주차구역 점유율 정보를 제공하여 거주자의 가용 주차공간을 확보한다. 4) 거주자의 선호 주차구역 및 시간대를 파악하여 거주자의 주차 편의성을 제공한다. 위 기능을 통해 기존 주차관리의 비효율성을 개선하고자 한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.6
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• pp.114-123
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• 2023

With the development of computer vision technology, video sensors such as CCTV are detecting incident. However, most of the current incident have been detected based on existing fixed imaging equipment. Accordingly, there has been a limit to the detection of incident in shaded areas where the image range of fixed equipment is not reached. With the recent development of edge-computing technology, real-time analysis of mobile image information has become possible. The purpose of this study is to evaluate the possibility of detecting expressway emergencies by introducing computer vision technology to dash cam. To this end, annotation data was constructed based on 4,388 dash cam still frame data collected by the Korea Expressway Corporation and analyzed using the YOLO algorithm. As a result of the analysis, the prediction accuracy of all objects was over 70%, and the precision of traffic accidents was about 85%. In addition, in the case of mAP(mean Average Precision), it was 0.769, and when looking at AP(Average Precision) for each object, traffic accidents were the highest at 0.904, and debris were the lowest at 0.629.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.931-933
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• 2022

본 논문에서는 자율주행에 기반하여 실시간으로 도로환경을 파악하고 순찰 기능을 하는 시스템 개발에 대한 것이다. 시스템은 카메라와 라이다 센서를 통해 얻은 정보를 바탕으로 기본적인 자율주행을 수행하고 탐지된 차량의 물리량을 계산하여 정해진 기능을 수행한다. 이를 바탕으로 현재의 단속시스템이 가지는 한계를 개선하고 경찰의 인력난 문제를 해결할 수 있는 시스템을 개발하고자 한다.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.3
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• pp.533-542
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• 2020

In this study, we developed a PC - based motorcycle simulator based on the development technology of the virtual patrol motorcycle training system. In order to get the impression that the motorcycle simulator is operating in a realistic way, it is important to have a reliable signal transmission and operation feeling between the driver and the simulator. In order to achieve this, we developed a system that can apply the sub-systems of the actual vehicle to the motorcycle simulator in order to generate the same operation feeling as the actual vehicle. Based on these results, We have developed a method for generating a feedback queue. Vehicle dynamics simulates real-time vehicle motion by receiving input from a steering wheel, accelerating / decelerating pedal, etc. operated by a driver on a vehicle simulator and transmitting the result to a visual and acoustic system, It is the central element of the simulator to generate. I want to summarize the main requirements of simulation dynamics.