• International Journal of Contents
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• v.9 no.1
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• pp.26-32
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• 2013

To date, parking enforcement systems have only been used by parking enforcement authorities, who detect and penalize violators. This paper introduces a modified version of the parking enforcement system utilizing smartphones that allows ordinary citizens to report parking violators to parking enforcement officers. The procedures of the system are taking a picture of a vehicle in violation, receiving the violation report virtually and finally reporting if violation car still remained at same location after five minutes have passed. The proposed system contains properties for transmission and receiving data about whether the complaint report of the violator's vehicle has been received in real time. It also works in conjunction with the existing parking enforcement system. This paper describes implementation of the proposed system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.603-604
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• 2021

It is a enforcement system to prevent collisions caused by unmanageable parking that may occur in parking lots. There are handicapped people who can get up in parking lots, general vehicles parked in electric vehicle parking areas, and vehicles parked in two lanes. The vehicle above is detected and notified through the deep learning object recognition function. By using a picture or video of an unmanageable parking situation as learning data, the learning data is produced so that the situation can be recognized, and the situation is recognized to determine the presence or absence of unmanageable parking. The purpose is to reduce collisions between parking lot users by making the environment of the parking lot more comfortable.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.326-328
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• 2021

The use of shared electric kickboards that can move quickly within a short distance at a relatively low price is increasing significantly. In this paper, we propose a system for recognizing incorrect parking of an abandoned shared kickboard by applying deep learning-based object recognition technology. In this paper, a model similar to CNN was created separately considering the characteristics of the experimental data, and it was shown that a recognition rate of 60% was obtained through the experiment.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.303-305
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• 2015

본 연구에서는 불법 주 정차 단속을 위한 번호판 인식용 스피드돔 카메라 개발을 위한 선행 연구로 전체 목표 중 PC와 카메라 모듈간 통신 Board 제작과 소니의 FCB-EX1010 카메라 기능 확인을 위한 PC S/W 구성, VISCA/RS232C Command 확인 및 One Board 작성에 필요한 사전 PC 용 프로그램 구성과 VISCA 통신 Format을 이용한 통신 프로그램을 구성하고 평가하였다. 구성한 통신 보드와 프로그램, 통신 Format은 정상 작동하도록 완성하였으며, 결합한 테스트에서 통신 향후 다양한 주의할 점과 목표를 찾아내었다. 정밀 장거리 스피드 돔 카메라 요구가 많아지고 있는 시점에서 적정한 개발을 위한 선행 연구이었다.

• Journal of Urban Science
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• v.6 no.2
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• pp.29-34
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• 2017

Although the supply of public parking lots in major cities is steadily increasing, there is still a shortage of parking spaces that take into account the characteristics of actual available parking spaces. These parking problems are caused by conflicts between users, illegal occupation and privatization of roads, interference with traffic roads, and business stagnation in commercial areas and illegal parking problems. In addition, despite various parking demand management policies and continuous supply of public parking facilities, the solution to the parking problem is uneasy due to increased construction costs and changes in social conditions. In order to solve this problem, it was judged that it would be necessary to utilize the existing public parking lots efficiently. Therefore, we collect the variables expected to affect the turnover, and use multiple regression models. The results are summarized as follows. Firstly, public parking lots can be classified into four types using utilization rate and turnover rate. Secondly, influencing factors are found including index of public transportation usage convenience, index of illegal parking, and land use characteristics in central commercial district. Thirdly, it was shown that there was little impact by the size of public parking lots, separation distance to subway distance, separation distance to bus stops, transfer zone, residential zone, and second-rated lots by parking costs. Finally, it is found that public parking lots can be improved by proving accessibility of public transit, enforcement of illegal parking, active approaches supporting public parking lots. It is also recommended that public parking cost rating system based mainly on land use characteristics should be remedied and rearranged.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.8 no.1
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• pp.67-72
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• 2014

In this paper, we proposed A Study on Construction of Infrastructure for Handicapped Parking Areas Using RFID. This paper is Construction of the Handicapped Parking Areas infrastructure Using RFID with 900MHz band, and researched the optimal position of the tag attached on the vehicle and the location of RFID reader in order to raise the efficiency of RFID reader and the recognition rate by the handicapped vehicle. The result of research is shown the optimal position of RFID reader establishment when the height of RFID reader is 170cm in height and the angle of $80^{\circ}$ with the ground when the vehicle traveling direction of the antenna and the RFID reader when the surface and the angle of $90^{\circ}$ showed the best position RFID readers installed. Parking spaces for the disabled in accordance with these results the RFID readers installed and it works in conjunction with enforcement camera car tagged crackdown on vehicles and other general management, the system is built to allow handicapped parking spaces that meet the intent of the original purpose being used as expected to contribute significantly.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.3
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• pp.396-402
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• 2021

As the world is trying to establish smart city, unmanned vehicle control systems are being widely used. This paper writes about an unmanned parking control system that uses an adaptive background image modeling method, suggesting the method of updating the background image, modeled with an adaptive Gaussian mixture model, in both global and local way according to the moving object. Specifically, this paper focuses on suggesting two methods; a method of minimizing the influence of a moving object on a background image and a method of accurately updating the background image by quickly removing afterimages of moving objects within the area of interest to be monitored. In this paper, through the implementation of the unmanned vehicle control system, we proved that the proposed system can quickly and accurately distinguish both moving and static objects such as vehicles from the background image.

• Journal of Korean Society of Transportation
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• v.18 no.6
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• pp.7-17
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• 2000

The Purpose of this study is to test the effectiveness of Special Transportation Management Zone system (TZ) when it is applied to Dongdaemoon commercial zone located in downtown Seoul. The study consists of two Parts ; the legal components of TZ and the case study on Dongdaemoon district. The case study includes the analysis of current traffic situation on the study zone, the design of implemention alternative for each component of TZ, the framework of impact analysis system, and the analysis results. The study finds, if 2,000 won mandatory parking fee on drivers parking in the buildings only with over 10 parking spaces and over 3.000$m^2$ in floor area, strong illegal parking enforcement, and Pro-hibition of parking passenger cars whose last digit plate number matches with the last digit of date, are implemented in the zone simultaneously, the traffic speed increases to 20.56km/h which is above the target set in the zone. In conclusion, we find that TZ2 can be an effective tool relieving traffic congestion in Seoul, and that it is necessary for introducing TZ in Seoul that relevant laws should be revised and expecting problems should be overcome.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.3D
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• pp.349-352
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• 2006

To cope with traffic congestion, traffic accidents and lack of parking facilities, caused by dramatic increase in total vehicle number, vigorous researches on managing vehicles efficiently are done, both domestically and internationally. The vehicle license plate recognition makes effective management of traffic possible, with its wide application in many fields, covering from speed enforcement, collecting toll, stolen vehicle detection to parking management. The vehicle license plate recognition system causes high cost for collecting training data. Many researches are done by using the virtual sample method, which can be effective for utilizing limited number of training data by generating virtual sample. This paper investigates techniques to improve the performance of vehicle license plate recognition by using the training data's annexation. Also, popular methods for virtual sample creation used for text recognition algorithm are analyzed and their effectiveness is verified.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.429-432
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• 2017

자동차 보급률 증가로 인해 교통 혼잡, 불법 주정차 등의 사회적 문제가 발생하고 있다. 특히 불법 주정차는 교통 혼잡, 주차 공간 부족 등 부가적인 문제를 발생시키고 있다. 따라서 각 지방자치단체에서는 불법 주정차 문제를 해결하기 위한 방안을 연구하고 있다. 그러나 이러한 방안은 초기 비용 발생 및 인력 부족 등의 한계가 있다. 한편, 정보통신의 발달에 따라 공공 업무에도 대량의 공공데이터를 효율적으로 처리하기 위한 연구가 진행되고 있다. 하지만 이러한 연구 또한 빅데이터 처리 플랫폼 부족 및 분석 시스템이 미흡한 한계가 존재한다. 따라서 본 논문에서는 불법 주정차 데이터와 같은 공공 데이터를 효율적으로 처리하기 위해, 주정차 단속 시스템을 위한 하둡 기반 대용량 데이터 관리 및 분석 시스템을 제안한다. 제안하는 시스템은 첫째, 주차단속을 수행할 때 주차단속 데이터를 하이브(Hive)를 통해 저장하고, 단속된 차량의 차주를 검색하여 단속임을 알리거나 과태료를 부과한다. 둘째, 웹 인터페이스를 통해 수집된 주차단속 데이터에 대한 다양한 분석을 수행하고, 분석된 데이터에 대한 R을 이용한 시각화를 제공한다.