• Title/Summary/Keyword: 기대위반

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Modeling of the Effective Levels of Traffic Violation Fines (교통법규 위반 범칙금의 효율적 수준 설정 모형 개발 (신호와 제한속도 위반 중심))

  • Jang, Il-Jun
    • Journal of Korean Society of Transportation
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    • v.27 no.3
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    • pp.111-118
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    • 2009
  • Factors causing traffic accidents are various and traffic law violations can be among them. The efforts to increase traffic law obedience rates of drivers are common in many other countries to reduce traffic accidents, and one of generally applied methods is to increase the amounts of violation fines. Expensive levels of traffic law violation fines could have drivers choose "obey the law" in their decision-making stages since they are economically better-off by following the law. In this sense, this study has developed an economic model to verify whether the current levels of the traffic violation fines of Korea are effective for drivers to choose "obey-the-law" decisions. Speed violations and traffic signal violations have been selected for the case study to verify the relationships between "expected probabilities of being-caught" and "levels of violations fines".

법령과 고시 (4): 하도급법 위반사업자에 대한 과징금 부과기준에 관한 고시 개정

  • 대한설비건설협회
    • 월간 기계설비
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    • s.247
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    • pp.34-34
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    • 2011
  • 2011년부터 하도급법 위반행위에 대한 과징금 상한액이 높아지고 현금결제 우수업체에 대한 감경이 폐지된다. 공정거래위원회는 이같은 내용을 담은 '하도급법 위반사업자에 대한 과징금 부과기준에 관한 고시'를 일부 개정해 지난 1월 1일부터 시행에 들어갔다. 공정위 관계자는 "이번 고시 개정으로 법 위반 사업자에 대한 시정조치를 강화해 법위반으로 인한 기대이익을 감소시킴으로써 불공정 하도급 거래를 예방할 것으로 기대된다"고 밝혔다.

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Development of Recognition System for Traffic Violations Using Deep Learning Algorithms (딥러닝 상황 인식을 이용한 교통법규 위반 인식 시스템 개발)

  • Kim, Joong-wan;Jo, Hyun-jun;Choi, Jong-geon;Yun, Tae-jin
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.01a
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    • pp.319-320
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    • 2022
  • 교통량이 증가됨에 따라 높아지는 사고율을 줄이기 위해 효율적이며, 다양한 교통 위반 단속이 요구되고 있다. 기존의 유무인 교통법규 위반 단속 시스템의 도입으로 단속 구역 확대를 시도하고 있으나 높은 비용의 문제로 한정된 지역에서만 실시되고 있다. 해당 문제 해결을 위해 본 논문에서는 딥러닝 실시간 객체인식기술을 적용하여 차량의 교통법규 위반을 인식하며 이에 대한 정보를 제공하는 시스템을 개발하였다. 실시간 객체인식 알고리즘인 YOLOv4와 실시간 객체추적기술인 deepSORT 알고리즘을 데스크톱 PC에 적용하여 구현하였다. 개발한 시스템은 과속, 버스 전용 차로, 주정차, 급속 다차선 변경에 대한 인식 결과를 제공한다. 기존 설치된 CCTV 영상을 대상으로 시스템 적용이 가능하여 저비용으로 넓은 지역에 대한 교통법규 위반 상황 인식을 기대할 수 있다.

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하도급법 위반사업자에 대한 과징금 부과기준 고시

  • Korea Mechanical Construction Contractors Association
    • 월간 기계설비
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    • no.10 s.207
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    • pp.39-42
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    • 2007
  • 공정거래위원회(위원장 권오승)는 최근 하도급법 위반사업자에 대한 과징금 부과시 과징금 부과여부 결정 및 과징금액 산정을 위한 세부 기준을 마련하고 지난 8월 22일 하도급법 위반사업자에 대한 과징금 부과기준에 관한 고시를 제정한데 이어 지난 8월 30일부터 시행에 들어갔다. 공정위는 과징금 부과를 위해 종전에는 위원회 사무준칙인 지침을 운용하였으나, 이번 고시 제정을 통해 과징금 부과의 예측가능성, 객관성 및 투명성을 제고하였다. 고시에 따르면 원사업자의 위법행위를 신고한 중소 하도급업체에 거래단절 등 불이익을 주는 보복행위를 하거나 하도급대금·어음할인료·지연이자 등을 지급한 후 이를 회수 또는 납품대금에서 공제하는 탈법행위 등 악성 위법행위에 대해서는 과징금을 부과하기로 했다. 또 위반사업자가 하도급거래시장에서 영향력이 큰 대기업자 이거나 과거 위반전력이 많은 경우로서 부당 하도급대금 결정, 부당감액 등 중대하거나 파급효과가 큰 위반행위를 했을 때도 과징금을 부과하기로 했다. 공정위가 하도급법 위반사업자에 대한 과징금 부과여부의 결정기준과 과징금액 산정방식을 보다 구체화하여 시행함으로써, 법위반의 정도에 상응하는 제재로 인하여 법집행의 실효성이 강화되어 재발방지 효과가 클 것으로 기대된다. 아울러 과징금 부과의 객관성과 투명성을 높이는 한편, 예측가능성을 높임에 따라 대기업 등 원사업자의 자율적인 하도급법 준수 의식을 제고하여 법위반을 사전에 방지함으로써 중소기업의 피해를 예방하는데 크게 기여할 것으로 보여진다.

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Analysis System for Public Interest Report Video of Traffic Law Violation based on Deep Learning Algorithms (딥러닝 알고리즘 기반 교통법규 위반 공익신고 영상 분석 시스템)

  • Min-Seong Choi;Mi-Kyeong Moon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.1
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    • pp.63-70
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    • 2023
  • Due to the spread of high-definition black boxes and the introduction of mobile applications such as 'Smart Citizens Report' and 'Safety Report', the number of public interest reports for violations of Traffic Law has increased rapidly, resulting in shortage of police personnel to handle them. In this paper, we describe the development of a system that can automatically detect lane violations which account for the largest proportion of public interest reporting videos for violations of traffic laws, using deep learning algorithms. In this study, a method for recognizing a vehicle and a solid line object using a YOLO model and a Lanenet model, a method for tracking an object individually using a deep sort algorithm, and a method for detecting lane change violations by recognizing the overlapping range of a vehicle object's bounding box and a solid line object are described. Using this system, it is expected that the shortage of police personnel in charge will be resolved.

YOLO-based Traffic Signal Detection for Identifying the Violation of Motorbike Riders (YOLO 기반의 교통 신호등 인식을 통한 오토바이 운전자의 신호 위반 여부 확인)

  • Wahyutama, Aria Bisma;Hwang, Mintae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.141-143
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    • 2022
  • This paper presented a new technology to identify traffic violations of motorbike riders by detecting the traffic signal using You Only Look Once (YOLO) object detection. The hardware module that is mounted on the front of the motorbike consists of Raspberry Pi with a camera to run the YOLO object detection, a GPS module to acquire the motorcycle's coordinate, and a LoRa communication module to send the data to a cloud DB. The main goal of the software is to determine whether a motorbike has violated a traffic signal. This paper proposes a function to recognize the red traffic signal colour with its movement inside the camera angle and determine that the traffic signal violation happens if the traffic signal is moving to the right direction (the rider turns left) or moving to the top direction (the riders goes straight). Furthermore, if a motorbike rider is violated the signal, the rider's personal information (name, mobile phone number, etc), the snapshot of the violation situation, rider's location, and date/time will be sent to a cloud DB. The violation information will be delivered to the driver's smartphone as a push notification and the local police station to be used for issuing violation tickets, which is expected to prevent motorbike riders from violating traffic signals.

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Driving Behaviors of the Korean People: A Cultural Psychological Perspective (한국사회의 교통문화)

  • Sang-Chin Choi;Cheong-Yeul Park;Jeong-In Kim;Young-Mi Sohn
    • Korean Journal of Culture and Social Issue
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    • v.9 no.spc
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    • pp.15-34
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    • 2003
  • The present authors had conducted several researches(parking violation, traffic signal violation, speed violation, drunk-driving) on driving behaviors of the Korean people focused on cultural psychological perspective. This paper was designed to summarize these previous results. Although each research had dealt with different violation behaviors on driving, there were lots of similarities on the basis of violation. The results reveal the following rationale for incurring violation behaviors. First, most people reported that they violated the rule to pursuit short-term benefit. Second, the violators' psychological characteristics are described in terms of self-centered and self-justification. In addition, the respondents have justified their violated behaviors since the outcome is disadvantageous for the drivers. Furthermore, the violators' are found to possess a permissive attitude toward the other violators'. Finally, the implications of these studies were proposed. All of these findings were discussed in relation to the Korean culture.

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Drones flying and violations of privacy laws, such as riskon (드론비행과 사생활침해 등 법률위반 위험성 연구)

  • Jeong, Soonchae;Mfitumukiza, Joseph;Cha, Jaesang
    • Journal of Satellite, Information and Communications
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    • v.12 no.1
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    • pp.22-27
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    • 2017
  • In this paper, A heightened interest in the latest drone, yet steady increase in the field to exploit them. The next market is expected to be vastly improved, and use drone also increasingly will be strengthened. But also not a few side effects of him. In order to use safer and more commonly a drone safety and privacy protection, and there are many issues that need to be considered. Violating privacy laws, such as relations caused by the drone flight and review this study ways to resolve the breach. The flight due to a draw at peace with human life and behavior and enjoy it, but this problem created by new outbreak.

An Analysis of Insurance Crimes: The Case of Blackmail in Automobile Accidents (보험사기범죄에 대한 분석 고의 교통사고 유도 - 합의금 요구 사건을 중심으로)

  • Yang, Chae-Yeol
    • The Korean Journal of Financial Management
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    • v.23 no.1
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    • pp.227-242
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    • 2006
  • This paper analyzes insurance crimes using a game theoretic model. In blackmailing cases involving automobile accidents, insurance criminals deliberately induce innocent drivers(victims) to commit a moving violation such as crossing over the center dividing yellow line, and collide with the victims. After the collision, the criminals and the victims effectively engage in a bargaining game over the amount of the settlement for the damage. Because the penalty for that kind of moving violation is very severe (even criminally prosecuted), the victims do not have much bargaining power. Exploiting the weak bargaining power of the victims, the criminals demand and receive huge compensation (including settlement) from the victims. In the model, it is shown that under the current law agents have perverse incentives leading to insurance crimes. The criminals have incentive to induce car collisions and extract huge settlement from the victims. Based on the analysis, it is suggested that lowering the severity of penalty for certain kind of violation may be needed to prevent insurance crimes, in addition to increasing the crime investigation activities and strengthening punishment for insurance criminals.

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The Relationship between Transgressive Behaviors of Humanity and Moral Anger in Korean Culture ('사람됨' 준거 위반과 도덕적 정서로서의 화(火)의 관계 분석)

  • Kibum Kim ;Hyojin Im
    • Korean Journal of Culture and Social Issue
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    • v.11 no.3
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    • pp.1-21
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    • 2005
  • Many researches have argued the most important dimension of perception or evaluation of person is morality and competence in Korean culture. This study was to investigate the cultural characteristics of the criteria of personhood. Two studies were conducted to investigate the criteria used to evaluate person by qualitative approach and the differences of evaluation of wrongdoer who violates interpersonal norm or individual autonomy by experimental method. In addition, anger as emotional response to wrongdoer is conceptualized in terms of moral and self-conscious emotion. Expression of anger is less an outpouring of emotion and more a culturally regulated and normative mode of managing and putting into practice our society's system of rights and obligations - its moral code. According to results of qualitative data by interview and focus group interview, the most important criteria used to evaluate personhood was interpersonal concern, esp, expectation and norm. The results of experiment revealed that violation of interpersonal norm domain evoked angrier towards violator than autonomy domain. The subjects ascribed more blame and responsibility to interpersonal norm violator than autonomy keeper. Also function of behavior inhibition of anger was higher in interpersonal norm domain than autonomy domain.