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Journal articles on the topic 'Traffic violations'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Penmetsa, Praveena, and Srinivas S. Pulugurtha. "Risk Perceptions of Crash Related Traffic Rule Violations." Journal of Road Safety 31, no. 4 (2020): 4–12. http://dx.doi.org/10.33492/jrs-d-19-00231.

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The objective of this paper is to evaluate drivers’ risk perception toward crash related traffic rule violations and identify violations that are perceived as low risk to better educate drivers. Risk perceptions on crash related traffic rule violations was gathered from 3,593 participants as a part of Naturalistic Driving Study. The variations in risk perceptions by driver characteristics such as age, gender, education, and household income were studied. The risk perception of violating traffic rules was observed to increase with an increase in drivers’ age, except for driving under the influe

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2

P, Ramakanthkumar, Chethan S, Pavithra H, Prajwal K, Nehal Chakravarthy M. D, and Shivaraj B. Karegera. "APPLICATION OF VARIOUS DEEP LEARNING MODELS FOR AUTOMATIC TRAFFIC VIOLATION DETECTION USING EDGE COMPUTING." International Journal of Information Technology Convergence and Services 13, no. 1/2 (2023): 01–11. http://dx.doi.org/10.5121/ijitcs.2023.13201.

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A rapid growth in the population and economic growth has resulted in an increasing number of vehicles on road every year. Traffic congestion is a big problem in every metropolitan city. To reach their destination faster and to avoid traffic, some people are violating traffic rules and regulations. Violation of traffic rules puts everyone in danger. Maintaining traffic rules manually has become difficult over the time due to the rapid increase in the population. This alarming situation has be taken care of at the earliest. To overcome this, we need a real-time violation detection system to help

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3

Lee, Jaeyoung, Xing Li, Suyi Mao, and Wen Fu. "Investigation of Contributing Factors to Traffic Crashes and Violations: A Random Parameter Multinomial Logit Approach." Journal of Advanced Transportation 2021 (October 9, 2021): 1–11. http://dx.doi.org/10.1155/2021/2836657.

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This study investigates contributing factors to traffic violations by seriousness. The traffic violations are divided into four categories by seriousness (unintentional violation, minor violation, serious violation, and crash with violation). The results of the random parameter multinomial logit model indicate that various factors potentially affect the severity of traffic violations. The key findings include the following: (1) female drivers are more likely to commit minor violations; (2) drivers from an area with a longer travel time to work and a higher proportion of driving to work are mor

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Mesfin, Tarekegn Reta, and Eba Kitata Kenea. "Analysis of Traffic Violations and Accidents with Enforcement: A Study in Jimma Town." International Journal of Environment, Engineering and Education 4, no. 1 (2022): 11–18. http://dx.doi.org/10.55151/ijeedu.v4i1.69.

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The level of enforcement of road traffic laws plays a significant role in reducing traffic accidents, especially pedestrians, who are more than a fifth of the 1.24 million people killed each year due to traffic accidents. For assessing traffic law enforcement, the registered traffic violation data for the years 2015-2017 were taken from the Traffic Police Department to describe the activities of traffic police personnel in enforcing traffic laws. The violations were categorized into four groups: -those related to driving, vehicle, parking, and others, and Traffic Law Enforcement into safety an

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Xing, Jiping, Qi Zhang, Qixiu Cheng, and Zhenshan Zu. "A Geographical and Temporal Risk Evaluation Method for Red-Light Violations by Pedestrians at Signalized Intersections: Analysis and Results of Suzhou, China." International Journal of Environmental Research and Public Health 19, no. 21 (2022): 14420. http://dx.doi.org/10.3390/ijerph192114420.

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Red-light violations of pedestrians crossing at signal intersections is one of the key factors in pedestrian traffic accidents. Even though there are various studies on pedestrian behavior and pedestrian traffic conflicts, few focus on the risk of different crosswalks for the violating pedestrian group. Due to the spatio-temporal nature of violation risk, this study proposes a geographical and temporal risk evaluation method for pedestrian red-light violations, which combines actual survey and video acquisition. First, in the geographical-based risk evaluation, the pedestrian violation rate at

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Ning, Huajing, Yunyan Yu, and Lu Bai. "Analyzing the Impact of Traffic Violation Behaviors on Traffic Fatal Crashes Using Multilevel Models on Expressways." Mathematical Problems in Engineering 2022 (September 6, 2022): 1–11. http://dx.doi.org/10.1155/2022/9917877.

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This study is intended to explore the impact of traffic violation behaviors on traffic fatal crashes on expressways. Based on the generalized additive model method, for independent traffic violation data and traffic fatal crash data from the Traffic Administration Bureau of Anhui Provincial Public Security Department, the relationship among the violations and traffic fatal crashes was discussed. Applying the proposed multilevel analysis method, which can effectively show the evolution trend among traffic violations and traffic fatal crashes influenced by time, space, and inter-reaction. The re

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Apriliyantomo, Bayu. "PERTIMBANGAN PUTUSAN PENGENAAN DENDA DALAM PELANGGARAN LALU LINTAS JALAN RAYA." MIMBAR YUSTITIA 4, no. 2 (2022): 70–88. http://dx.doi.org/10.52166/mimbar.v4i2.3246.

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Traffic violations on the highway by motorists lead to accidents. The majority of traffic violations are in the form of violations of traffic signs, such as prohibitions on stopping and parking in certain places, violating traffic lights such as breaking through red lights, and others. Inspections of motorized vehicles on the road by police officers or police operations are in fact law enforcement officers who provide more criminal sanctions in the form of fines than imprisonment (imprisonment) for motorists who violate traffic regulations. The research method used is a normative legal researc

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8

Tarekegn Reta Mesfin and Eba Kitata Kenea. "Analysis of Traffic Law Violations and Traffic Accidents with their Enforcements (In Case of Jimma Town)." TECHNO REVIEW Journal of Technology and Management 2, no. 1 (2022): 15–24. http://dx.doi.org/10.31305/trjtm2022.v02.n01.002.

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More than about 1.24 million of people killed each year due to road traffic crashes worldwide. Out of these deaths, more than one fifth occur among pedestrians Promoting the level of road traffic law enforcement plays a great role in reducing traffic crashes. For assessing of traffic law enforcement, the registered data of traffic violation for the years 2015-2017 were taken from the Traffic Police Department to describe the activities of traffic police personnel in enforcing traffic laws. The violations were categorized into four groups: -those related to driving, vehicle, parking and others,

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OLORIEGBE, David Ugwunushemi, and Braimoh Abdullahi IKHARO. "Development of an IoT-based Traffic Signal Violation Detection System." Journal of Engineering Research and Reports 27, no. 2 (2025): 1–9. https://doi.org/10.9734/jerr/2025/v27i21389.

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This study tackles the pressing issue of traffic signal stop-line violations, which poses significant threat to road safety, by designing and implementing an intelligent traffic signal violation system (Internet-of-things (IoT) based technology). The system utilizes infrared (IR) sensors for vehicular detection and an ESP32 Camera to capture images of violating vehicles, which are then sent to a server via notification bots for media platforms. Also, the IR sensors are embedded with the ESP32 Camera and programmed microcontroller to detect traffic stop-line signal violations, capture images, a

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Mesfin, Tarekegn Reta, and Eba Kitata Kenea. "Analysis of Traffic Law Violations and Traffic Accidents with their Enforcements (In Case of Jimma Town)." International Journal of Civil, Mechanical and Energy Science 8, no. 2 (2022): 01–07. http://dx.doi.org/10.22161/ijcmes.8.2.1.

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More than about 1.24 million of people killed each year due to road traffic crashes worldwide. Out of these deaths, more than one fifth occur among pedestrians Promoting the level of road traffic law enforcement plays a great role in reducing traffic crashes. For assessing of traffic law enforcement, the registered data of traffic violation for the years 2015-2017 were taken from the Traffic Police Department to describe the activities of traffic police personnel in enforcing traffic laws. The violations were categorized into four groups: -those related to driving, vehicle, parking and others,

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11

Zhou, Yuquan, Yingzhi Wang, Feng Zhang, Hongye Zhou, Keran Sun, and Yuhan Yu. "GATR: A Road Network Traffic Violation Prediction Method Based on Graph Attention Network." International Journal of Environmental Research and Public Health 20, no. 4 (2023): 3432. http://dx.doi.org/10.3390/ijerph20043432.

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Prediction of traffic violations plays a key role in transportation safety. Combining with deep learning to predict traffic violations has become a new development trend. However, existing methods are based on regular spatial grids which leads to a fuzzy spatial expression and ignores the strong correlation between traffic violations and road network. A spatial topological graph can express the spatiotemporal correlation more accurately and then improve the accuracy of traffic violation prediction. Therefore, we propose a GATR (graph attention network based on road network) model to predict th

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Muhamad Zulkifli Lamatenggo, Roy Marthen Moonti, Ibrahim Ahmad, and Muslim A. Kasim. "Pelanggaran Lalu Lintas di Wilayah Hukum Polres Gorontalo Tahun 2022– 2024." Jembatan Hukum : Kajian ilmu Hukum, Sosial dan Administrasi Negara 2, no. 1 (2025): 136–45. https://doi.org/10.62383/jembatan.v2i1.1289.

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A traffic violation is a violation or action that is contrary to traffic laws or regulations, in accordance with Law Number 22 of 2009 which was passed by the DPR-RI on 22 June 2009. The aim of this research is to get a picture of traffic violations in the Gorontalo Police area. The research method used is qualitative analysis with a literature study approach through collecting primary and secondary data on reports on the number of traffic violations in the Gorontalo Police area from 2022 to 2024. From the research results it was found that during the last 3 years from 2022 to 2024 there were

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Wang, Hongxiao, and Guohua Liang. "Association Rules Between Urban Road Traffic Accidents and Violations Considering Temporal and Spatial Constraints: A Case Study of Beijing." Sustainability 17, no. 4 (2025): 1680. https://doi.org/10.3390/su17041680.

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Traffic violations are among the leading causes of accidents and significantly compromise urban road safety. This study analyzed traffic violation and incident data collected by automated enforcement systems in urban Beijing from 2019 to 2023, consisting of 3264 traffic accident records and 147,876 traffic violation records. Through a spatiotemporal data association method, 2126 violations directly associated with accidents were identified. The FP-growth algorithm was then applied to derive 18 robust association rules encompassing five categories of accidents and four categories of violations.

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Li, Jie, Yuntao Shi, and Shuqin Li. "Analysis of Beijing Traffic Violations Based on the BERT-CRF Model." Promet - Traffic&Transportation 36, no. 2 (2024): 279–93. http://dx.doi.org/10.7307/ptt.v36i2.366.

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Traffic violations are a major cause of traffic accidents, yet current research falls short in comprehensively analysing these violations and the named entity method fails to extract the name of traffic violation events from records, thereby lacking in providing guidance for managing urban traffic violations. By expanding the People’s Daily dataset from 71,456 words to 95,291 words, the BERT-CRF (Bidirectional Encoder Representations from Transformers-Conditional Random Field) model achieves an accuracy rate of 88.53%, a recall rate of 92.90% and an F1 score of 90.66%, successfully identifying

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Muhamad, Burhan, Hardy Karim, and Hemn Ahmed. "Effects of Traffic Violation and Demographic Characteristics on Traffic Safety in Sulaymaniyah City." Sulaimani Journal for Engineering Sciences 7, no. 3 (2020): 228–40. http://dx.doi.org/10.17656/sjes.10142.

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One of the major causes to increase traffic accidents is traffic violations from drivers that occur on road networks. The objective of this study was to evaluate the effects of traffic violation and demographic characteristics of the drivers on the traffic safety in Sulaymaniyah urban street networks. A questionnaire survey approach was used to collect data from 244 drivers; 143 male and 101 female drivers. The questionnaire form included ten questions; six of the questions were related to the traffic violations types and four of them were related to the demographic parameters of the drivers.

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Massa, Ferderika, and Wan Norhasniah. "Implementation of Ticket Sanctions for Traffic Violations Based on Law No. 22 of 2009 at the Sorong City Police Traffic Unit." Journal of Law Justice (JLJ) 2, no. 2 (2024): 78–90. http://dx.doi.org/10.33506/jlj.v2i2.3313.

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Traffic violations are one type of offense that is included in certain criminal offenses. In the context of Indonesian law, every offense, whether it is a crime or a violation, must be processed in accordance with the applicable laws. However, there are still many students and people who commit violations such as driving without a driver's license, STNK, violating red lights, and not wearing a helmet. Although the police are responsible for traffic order, often the settlement of violations is not in accordance with the provisions of the law, even settled on the spot by unscrupulous law enforce

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17

Saunders, Penelope. "Traffic Violations." Journal of Interpersonal Violence 20, no. 3 (2005): 343–60. http://dx.doi.org/10.1177/0886260504272509.

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18

Ali, Ali Q. Abd. "An Efficient System for Detecting Multiple Traffic Violations and Recognizing License Plates Using Video Processing and Deep Learning." International Journal of Electrical and Electronic Engineering & Telecommunications 13, no. 5 (2024): 406–14. http://dx.doi.org/10.18178/ijeetc.13.5.406-414.

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Traffic violations cause significant problems such as congestion, accidents, and deaths. It is highly desirable to have an effective automated system to detect and record these violations, thus improving traffic regulation enforcement and reducing human intervention. The proposed work aims to develop a cost-effective, efficient, and robust system that automatically detects traffic violations. The proposed system uses background subtraction technology to detect moving vehicles and the time and distance over which vehicles move to detect violations. The You Only Look Once (YOLO) and Convolutiona

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Ashwin Sai C., Karthik Srinivas K., and Allwyn Raja P. "Real Time Motion Detection for Traffic Analysis Using Computer Vision." International Journal of Computer Vision and Image Processing 10, no. 2 (2020): 1–14. http://dx.doi.org/10.4018/ijcvip.2020040101.

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Nowadays, as the digital era proliferates, there are a number of traffic violation detection systems built using hardware and software to detect violation of traffic rules. This article proposes an integrated method for traffic analysis by detecting vehicles in the video and tracking their motion for multiple violation detection. The purpose of this integrated system is to provide a method to identify different types of traffic violations and to reduce the number of systems used to record violations. This method receives input from traffic surveillance camera and uses DNN to classify the vehic

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20

Rianto, Septian Dwi, Alpi Sahari, and Ahmad Fauzi. "Penanganan Tindak Pidana Perkara Pelanggaran Lalulintas Di Satlantas Polres Pematangsiantar." Journal of Education, Humaniora and Social Sciences (JEHSS) 3, no. 1 (2020): 97–102. http://dx.doi.org/10.34007/jehss.v3i1.199.

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Traffic violations have become a habit of the road user community, so that every time an orderly operation of the traffic on the road is carried out by the authorities, traffic violation cases are still occurring and these violations often cause traffic accidents. The research method used in this research is to use a normative and empirical approach. i.e. conducts library research by researching and collecting library materials that are specifically related to laws and regulations and books relating to law and traffic, as well as field research conducted by observing observations and direct in

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K. Pujitha, J. Indu, B. Sasi Vardhan, P. Sandeep Kumar, and Mrs. G. Ramadevi. "Traffic Signal Violation Detection System." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 2766–71. https://doi.org/10.32628/cseit2511141.

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Traffic signal violations are a major cause of accidents and traffic congestion. This project presents an automated Traffic Signal Violation Detection System using Deep Learning-based Object Detection. The system leverages SSD MobileNet V1, a pre-trained Convolutional Neural Network (CNN), to detect and classify traffic signals in real-time. Using the TensorFlow Object Detection API, the model identifies traffic lights and determines violations based on detected signals. The approach integrates image processing, real-time object detection, and violation recognition, providing an intelligent tr

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S, Muhammad Sabri, and Ema Utami. "Traffic Violation Clustering Using K-Medoids and Word Cloud Visualization." Journal of Information Systems and Informatics 7, no. 1 (2025): 250–71. https://doi.org/10.51519/journalisi.v7i1.1002.

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Traffic is the space for people to move around, including both drivers and pedestrians. According to data from the Central Statistics Agency in 2020, the number of motor vehicles in Makassar City was recorded by type: 248,682 passenger cars, 17,501 buses, 85,968 trucks, and 1,338,306 motorcycles, with a tendency for an increase in the following year. The high number of vehicle users can certainly affect the rising traffic violation rates on the road. This study aims to classify traffic violation types in Makassar City by utilizing the K-Medoids algorithm and to visualize the clustering results

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Nurdin, Ade. "Potensi Pelanggaran Lalu Lintas Di Simpang Mayang Tujuan Jambi Town Square Mall." Jurnal Civronlit Unbari 5, no. 2 (2020): 49. http://dx.doi.org/10.33087/civronlit.v5i2.68.

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One of the biggest factors causing traffic accidents is a violation committed by drivers who are less orderly in traffic. This research was conducted on Jalan Kapten A. Bakarudin Simpang Mayang, Jambi Town Square Mall (Jamtos mall). The research objective is to find out how much the traffic sign violations at the Intersection of Jamtos mall. The results show that the highest traffic sign violations occurred on Sunday, August 16, 2020, with 1996 vehicles : 1494 two-wheeled vehicles and 502 four-wheeled vehicles. Meanwhile, the vehicles that enter Jamtos mall consist of 519 two-wheeled vehicles

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Elisawati, Elisawati, Deasy Wahyuni, and Adi Arianto. "ANALISA CLUSTERING PADA DATA PELANGGARAN LALULINTAS DI PENGADILAN NEGERI DUMAI DENGAN MENGGUNAKAN METODE K-MEANS." JISKA (Jurnal Informatika Sunan Kalijaga) 4, no. 2 (2019): 1. http://dx.doi.org/10.14421/jiska.2019.42-01.

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The order of traffic on the road is very important for motorists on the highway, the lack of awareness of motor vehicle users and the poor drivers of traffic discipline make the level of traffic violations in driving on the highway always increase so that the number of ticket data received by the Dumai District Court. This research was conducted to analyze and classify data violations using the k-means method to facilitate knowing the types of violations that are often violated by vehicle users. The attributes to be analyzed are the types of violations and types of vehicles. The test was carri

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Hisbullah, Nuaiman. "Efforts to Resolve Law Enforcement Barriers to Traffic Violations on the Waru Toll Road - Juanda Surabaya Indonesia." Journal of Development Research 7, no. 2 (2023): Process. http://dx.doi.org/10.28926/jdr.v7i2.336.

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The growth in production of motorized vehicles that is not proportional to the existing road infrastructure causes frequent traffic jams. Law Number 22 of 2009 concerning Road Traffic and Transportation (UU LLAJ) regulates traffic regulations and provides sanctions for violators. It is important to ensure conformity of regulations with developments in society and technology, and increase the effectiveness of law enforcement against traffic violations. This research was conducted on the Waru – Juanda Toll road which is one of the Toll roads with a high level of density and many violations. Data

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Bangun, Dewantara, Fikarwin Zuska, and Bengkel Ginting. "Perilaku Masyarakat Pengendara Kendaraan Bermotor Dalam Berlalu Lintas di Kota Medan." PERSPEKTIF 11, no. 3 (2022): 1146–60. http://dx.doi.org/10.31289/perspektif.v11i3.6446.

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The purpose of this study is to find out the subjective reasons of motorists in traffic who commit traffic violations, such as violations of traffic signs, violations of traffic light, violations of vehicle completeness and violations of driver's equipment. The research method used is descriptive research with a qualitative approach. The research technique was carried out by studying literature, interviews, documentation, and observation. The results of the study, the reason for the driver to commit a violation is situational, the encouragement from an urgent situation and rushing in chasing t

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Suteja, I. Wayan, Mifta Holman, D. M. Priyantha Wedagama, and P. Alit Suthanaya. "The influence of age and gender of student motorcycle riders on traffic violations and accidents using a structural equation model." MATEC Web of Conferences 195 (2018): 04015. http://dx.doi.org/10.1051/matecconf/201819504015.

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During the last three years, traffic accidents in Mataram City- Lombok have increased significantly. Interestingly, most of the accidents were involved high school motorcyclist. This study aims to investigate the influence of age and gender of student motorcycle riders on traffic violations and accidents, which represents a city with moderate growth. The investigation was conducted using a questionnaire survey, in which the data were collected from 394 students covering eighteen high schools. The model developed consists of behavioral, violation and accident latent variables. Behavioral constr

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Xiao, Yun, Yang Liu, and Zijun Liang. "Study on Road-Crossing Violations among Young Pedestrians Based on the Theory of Planned Behavior." Journal of Advanced Transportation 2021 (September 17, 2021): 1–11. http://dx.doi.org/10.1155/2021/6893816.

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Young pedestrians have a high rate of traffic violations and are vulnerable. In this study, theory of planned behavior (TPB) questionnaires were collected from a sample of 395 young pedestrians. Reliability analysis demonstrated that the TPB questionnaire was effective and credible. An analysis model was established based on the TPB. The motivations for traffic violation behaviors among young pedestrians on intersections were studied from the perspective of social psychology. The results revealed that the most common violation behavior of young pedestrians was crossing on yellow light (29.7%).

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Prayaga, Lakshmi, Krishna Devulapalli, and Chandra Prayaga. "Combining Clustering and Factor Analysis as Complementary Techniques." International Journal of Data Analytics 1, no. 2 (2020): 48–57. http://dx.doi.org/10.4018/ijda.2020070104.

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The study of driver behavior and associated accidents has been of interest to researchers and insurance companies. From the perspective of insurance companies, identifying factors that contribute to traffic violations plays a significant role in providing insurance quotes as it establishes the basis for charging appropriate insurance rates to customers. This study assesses the traffic violations intensity for 64 counties in the state of Florida, USA by using the publicly available traffic violations data set. This data set consists of 3,669,796 records with 11 attributes, which include race, g

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Tang, Tianpei, Hua Wang, Jie Ma, and Xizhao Zhou. "Analysis of Crossing Behavior and Violations of Electric Bikers at Signalized Intersections." Journal of Advanced Transportation 2020 (January 20, 2020): 1–14. http://dx.doi.org/10.1155/2020/3594963.

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This paper focuses on investigating electric bikers’ (e-bikers) crossing behavior and violations based on survey data of 3,126 e-bikers collected at signalized intersections in Nantong, China. We first explore e-bikers’ characteristics of late crossing, incomplete crossing, and violating crossing behaviors by frequency analysis and duration distribution, and examine a few influential factors for e-bikers’ red-light running (RLR) behavior, including site type, crossing length and traffic signal countdown timers (TSCTs). E-bikers’ RLR behavior is further divided into three categories, namely GR

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Nopan Wiranata and Ismail Jalili. "Implementation of Electronic Traffic Law Enforcement in the Settlement of Traffic Violation Cases in the Jurisdiction of Directorate of Traffic Police Bengkulu Regional Perspective Of Fiqih Siyasah." Journal of Sharia and Legal Science 1, no. 3 (2023): 127–44. http://dx.doi.org/10.61994/jsls.v1i3.190.

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This research aims to analyze the application of Electronic Traffic Law Enforcement in efforts to prosecute traffic violations in the jurisdiction of the Bengkulu Regional Police Traffic Directorate using the perspective of Siyasah Dusturiyah. This research is a qualitative-empirical research using documentation and interview data collection methods. This research found that the use of ETLE in efforts to prevent traffic violations in Bengkulu City is one of the efforts made by the Traffic Directorate (Ditlantas) of the Bengkulu Regional Police to deal with the problem of high traffic violation

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Tang, Tianpei, Yuntao Guo, Guohui Zhang, Hua Wang, and Quan Shi. "Understanding the Interaction between Cyclists’ Traffic Violations and Enforcement Strategies: An Evolutionary Game-Theoretic Analysis." International Journal of Environmental Research and Public Health 17, no. 22 (2020): 8457. http://dx.doi.org/10.3390/ijerph17228457.

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An evolutionary game-theoretic analysis method is developed in this study to understand the interactions between cyclists’ traffic violations and the enforcement strategies. The evolutionary equilibrium stabilities were analysed under a fixed (FPS) and a dynamic penalty strategy (DPS). The simulation-based numerical experiments show that: (i) the proposed method can be used to study the interactions between traffic violations and the enforcement strategies; (ii) FPS and DPS can reduce cyclists’ probability of committing traffic violations when the perceived traffic violations’ relative benefit

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Jiang, Ze-Hao, Xiao-Guang Yang, Tuo Sun, Tao Wang, and Zheng Yang. "Investigating the Relationship between Traffic Violations and Crashes at Signalized Intersections: An Empirical Study in China." Journal of Advanced Transportation 2021 (April 16, 2021): 1–8. http://dx.doi.org/10.1155/2021/4317214.

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About 90% of traffic crashes are caused by human factors, within which traffic violations are one of the most typical and common causes. In order to investigate the relationship between traffic violations and traffic crashes, this research targets signalized intersections in two Chinese cities: Yinchuan and Suqian. Thirty-one intersections are selected as the research sites, and additionally, the traffic volume, traffic violation, and traffic crash data of each intersection are collected for one year. A White’s test is conducted to test the homoscedasticity of the data and a multiple linear re

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Ding, Tongqiang, Lianxin Zhang, Jianfeng Xi, Yingjuan Li, Lili Zheng, and Kexin Zhang. "Bus Fleet Accident Prediction Based on Violation Data: Considering the Binding Nature of Safety Violations and Service Violations." Sustainability 15, no. 4 (2023): 3520. http://dx.doi.org/10.3390/su15043520.

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The number and severity of bus traffic accidents are increasing annually. Therefore, this paper uses the historical data of Chongqing Liangjiang Public Transportation Co., Ltd. bus driver safety violations, service violations, and road traffic accidents from January to June 2022 and constructs road traffic accident prediction models using Extra Trees, BP Neural Network, Support Vector Machine, Gradient Boosting Tree, and XGBoost. The effects of safety and service violations on vehicular accidents are investigated. The quality of the prediction models is measured by five indicators: goodness of

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Chauhan, Anurag, Ilhaan Rahim, Karan Kurani, Vikrant Chole, and Ritvik Chauhan. "APPLYING MACHINE LEARNING AND OBJECT DETECTION FORIDENTIFYING TRAFFIC RULE VIOLATION: OVER SPEEDING." International Journal of Engineering Applied Sciences and Technology 8, no. 2 (2023): 274–79. http://dx.doi.org/10.33564/ijeast.2023.v08i02.041.

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We have observed that traffic offences are manually inspected by the traffic department in many developing nations, such as India. Such systems enable traffic management and traffic law enforcement. Following this, the present study focuses on Traffic violations as one of the key issues hindering the efficient operations and safety aspects in the urban traffic area. Currently, traffic violations are controlled using enforcement measure that demands a high manual workforce, and resource which entails high economic cost. Contrary, the use of automatic traffic violation detection systems in many

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Zahid, Muhammad, Yangzhou Chen, Sikandar Khan, Arshad Jamal, Muhammad Ijaz, and Tufail Ahmed. "Predicting Risky and Aggressive Driving Behavior among Taxi Drivers: Do Spatio-Temporal Attributes Matter?" International Journal of Environmental Research and Public Health 17, no. 11 (2020): 3937. http://dx.doi.org/10.3390/ijerph17113937.

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Risky and aggressive driving maneuvers are considered a significant indicator for traffic accident occurrence as well as they aggravate their severity. Traffic violations caused by such uncivilized driving behavior is a global issue. Studies in existing literature have used statistical analysis methods to explore key contributing factors toward aggressive driving and traffic violations. However, such methods are unable to capture latent correlations among predictor variables, and they also suffer from low prediction accuracies. This study aimed to comprehensively investigate different traffic

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S, Pavithra. "Smart Traffic Management and Detection System Using AI and Computer Vision." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47175.

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ABSTRACT The Smart Traffic Management and Violation Detection System integrates AI and Computer Vision to optimize traffic control and detect violations. By analyzing real-time video feeds from surveillance cameras, it adjusts traffic signal timings based on vehicle density, reducing congestion and delays. The system automatically detects violations such as red light jumping, helmetless riding, over speeding, and wrong-lane driving using object detection and OCR techniques. Violators’ license plates are recorded, and penalty notices are generated automatically. This solution enhances road safe

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Lukman Oktavian Kadir, Lisnawaty W Badu, and Jufryanto Puluhulawa. "Pelanggaran Lalu Lintas Berdasarkan Undang-Undang No. 22 Tahun 2009 Tentang LLAJ di Kota Gorontalo Melalui Electronic Traffic Law Enforcement (ETLE)." Terang : Jurnal Kajian Ilmu Sosial, Politik dan Hukum 1, no. 3 (2024): 147–58. http://dx.doi.org/10.62383/terang.v1i3.403.

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This research is intended to: (1) find out how effective the implementation of Electronic Traffic Law Enforcement (ETLE) is for traffic violations based on Law no. 22 of 2009 concerning Traffic in Gorontalo City. The research results show, first, the implementation of the ETLE system for traffic violations based on the LLAJ Law in Gorontalo City is to modernize the system for handling traffic violations, enforce traffic laws, and in order to instill a culture of compliance in traffic. Apart from that, the implementation of the ETLE system in Gorontalo City is quite effective and better than co

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Cahyo Prabowo, M. Adityo Andri, Madiasa Ablisar, Sunarmi Sunarmi, and Marlina Marlina. "PENYIDIKAN KASUS PELANGGARAN LALU LINTAS YANG MENYEBABKAN KEMATIAN: STUDI PADA SATLANTAS POLRESTA DELI SERDANG." Law Jurnal 3, no. 2 (2023): 135–57. http://dx.doi.org/10.46576/lj.v3i2.3101.

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ABSTRACTThe process of handling traffic violation cases often experiences obstacles, especially in theinvestigation of traffic violation cases that cause fatalities. This study deliberately raises theObstacles faced by the Deli Serdang Police Traffic Unit in investigating and investigating casesof traffic violations that caused the death of motorized vehicle drivers, and the efforts of the DeliSerdang Police Traffic Unit in overcoming obstacles to investigations and investigations intocases of traffic violations that lead to the death of motorists. This research is a legal researchthat is desc

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Sinatra, Apriansya, Wandi Saputra, Muhammad Hendri Yanova, and M. Febry Saputra. "Pelanggaran Lalu Lintas Dengan Menggunakan Kendaraan Atas Nama Orang Lain Dalam Perspektif Nilai Keadilan." Jurnal Penegakan Hukum Indonesia 3, no. 3 (2022): 301–18. http://dx.doi.org/10.51749/jphi.v3i3.83.

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The goal to be achieved in this legal research is to find out about the position of ownership in imposing sanctions on vehicle owners for traffic violations through Electronic Traffic Law Enforcement by other people which reflects the value of justice. In this study, normative research is used, namely research that obtains legal materials by collecting and analyzing legal materials related to traffic violations by using vehicles on behalf of other people in perspective of the value of justice. The nature of the research in writing this thesis is the nature of prescriptive research, namely the

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Chonsalasin, Dissakoon, Thanapong Champahom, Chamroeun Se, et al. "Analyzing Motorcycle Traffic Violations in Thailand: A Logit Model Approach to Urban and Rural Differences." Future Transportation 5, no. 1 (2025): 26. https://doi.org/10.3390/futuretransp5010026.

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Motorcycles are a prominent contributor to most fatalities arising from traffic incidents, primarily due to drivers’ failure to adhere to traffic laws. Notably, differences in traffic violation frequency between urban and rural motorcyclists can be ascribed to variations in law enforcement practices and security budget allocations between these areas. This study aims to identify the key determinants influencing the frequency of traffic violations across these distinct geographical regions. The investigation incorporates independent variables such as personal demographics (including gender and

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Myranika, Annie. "Law enforcement of criminal acts of traffic violations." International journal of social sciences and humanities 6, no. 1 (2022): 66–74. http://dx.doi.org/10.53730/ijssh.v6n1.3829.

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The purpose of this research is to find out: (1). A new idea in the application of a traffic violation settlement model. (2). The settlement model for traffic violations is given proof violation. (3). The new traffic violation crime model in the form of a SIM or STNK was not confiscated by officers, but an ID card as collateral. (4). Violators pay the ticket via ATM, internet banking, and phone banking. This research method uses descriptive qualitative. Data collection techniques are in-depth interviews, field surveys which are analyzed as data, literature studies in the form of notes, videos,

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Prabandari, Gusti Ayu Agung Diah Cahya, Putu Aryani, Putu Cintya Denny Yuliyatni, and Wayan Citra Wulan Sucipta Putri. "Pengaruh Tingkat Pelanggaran Terhadap Cedera Kepala Pada Kasus Kecelakaan Lalu Lintas Di Kota Denpasar." E-Jurnal Medika Udayana 12, no. 6 (2023): 77. http://dx.doi.org/10.24843/mu.2023.v12.i06.p14.

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Traffic accident is an unexpected event that occurs on the highway usually at a productive age. Traffic accidents occur due to the level of violations committed by the driver. The severity of head injury patients was assessed from the GCS score, namely mild, moderate, and severe head injuries. This study aims to determine the effect of the violations on head injuries in traffic accidents cases in Denpasar City based on age, gender, GCS score, classification of head injuries based on GCS score dan morphology, Mechanism of Injury to assess the level of violations. This research is analytic with

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Cesardo, Muhammad Zaki. "POLICE EFFORTS IN COUNTERING TRAFFIC OFFENCES (CASE STUDY OF PATI CITY POLICE TRAFFIC UNIT)." Jurnal Hukum Khaira Ummah 19, no. 3 (2025): 311. https://doi.org/10.30659/jhku.v19i3.43163.

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This research aims to find out the police efforts in overcoming the level of traffic violations, obstacles in overcoming the level of traffic violations and their solutions, as well as police efforts in overcoming the level of traffic violations in the future. This research uses a juridical sociological approach with descriptive analytical research specifications. The data collection method used is primary data obtained from field studies and secondary data obtained from interviews. The data analysis method uses qualitative analysis. Based on the research, it is concluded that the police effor

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Ridayati, Ridayati. "UJI BEDA PELANGGARAN TRAFFIC LIGHT BERDASARKAN LOKASI PELANGGARANNYA." Angkasa: Jurnal Ilmiah Bidang Teknologi 8, no. 2 (2017): 65. http://dx.doi.org/10.28989/angkasa.v8i2.120.

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The increasing of the vehicles flow on Yogya-Solo street causing congestion at some points in the Klaten district. The main cause of the congestion is the number of traffic violations which lead to the accidents. Bendogantungan, south Klaten, is one of the most congested point in this district. This study is aimed to determine the causes and the effects of traffic light violations and to examine the difference o f traffic light violations based on the point of violations in the intersection of bendogantungan, Yogya-Solo street. The results show that the practical mind-set of Klaten community i

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Abraham, John, Tapan K. Datta, and Sue Datta. "Driver Behavior at Rail-Highway Crossings." Transportation Research Record: Journal of the Transportation Research Board 1648, no. 1 (1998): 28–34. http://dx.doi.org/10.3141/1648-04.

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A study of driver behavior at 37 rail-highway crossings in Michigan revealed the possible association between past crash histories and violations. Data collection included recording license plate numbers for violating vehicles, driver gender, approximate age of the driver, and the vehicle make and model. Driver violations were categorized into five different levels of severity ranging from routine to critical. The 37 study sites were subdivided into four groups based on crossing geometry and traffic control. The number of sites in the groups ranged from 5 to 18. Seven years of crash data on th

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Damayanti, Viona, and Vincentius Patria Setyawan. "PELAKSANAAN EKSEKUSI DENDA TILANG OLEH KEJAKSAAN NEGERI SURAKARTA." Verstek 9, no. 4 (2021): 787. http://dx.doi.org/10.20961/jv.v9i4.72606.

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<p><em><span class="Y2IQFc" lang="en">The Trial Process at the Surakarta District Court and the Execution of Fines for Traffic Violations by the Surakarta District Attorney can be described as follows: to receive payment of ticket fines by the convict who has obtained a decision from the District Court Judge where the trial of this traffic violation case is taking place. The Public Prosecutor was not present directly in the trial process because in principle the trial of this traffic violation case was a minor crime case and the proceedings were fast, and was only attended by

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Aulia, Siska, Popy Maria, and Ramiati Ramiati. "Aplikasi Pendeteksi Plat Nomor Kendaraan Berbasis Raspberry Pi Menggunakan Website Untuk Pelanggaran Lalu Lintas." Elektron : Jurnal Ilmiah 11, no. 2 (2019): 84–89. http://dx.doi.org/10.30630/eji.11.2.126.

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Motorized vehicles in Indonesia consist of two-wheeled vehicles and four-wheeled vehicles. The number of motorized vehicles is increasing every year. The higher the vehicle volume the higher the level of traffic violations. Every violator will be charged a ticket by the ticketing officer if the vehicle user does not obey the driving rules. The ticketing process in Indonesia is still manually using paper by writing violations committed by violators on a piece of paper. This article is an attempt to make it easier for the public and police in traffic violations. This article is designed for vehi

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Nabilha Legita Rizki, Ramadania Syahfitri, Yulia Yulia Sahfitri, and Syuratty Rahayu Manalu. "Analisis Pelanggaran Lampu Lalu Lintas di Persimpangan Jalan Aksara Kota Medan." Education : Jurnal Sosial Humaniora dan Pendidikan 4, no. 1 (2023): 77–83. http://dx.doi.org/10.51903/education.v4i1.456.

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Indonesia has more than 270 million people, most of whom use private transportation to access various places. The high population also influences the number of vehicle uses in Indonesia. Congestion is often caused by vehicle users violating traffic lights at road intersections. Traffic violations are no longer commonplace for motorists in Indonesia and have become a driving habit. The regulations regarding driving contained in Law Number 22 of 2009 concerning Road Traffic and Transportation (UU LLAJ) are often ignored as if they do not cause problems. Quantitative methods were used to answer r

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Koushki, P. A., S. Y. Ali, and O. Al-Saleh. "Road Traffic Violations and Seat Belt Use in Kuwait: Study of Driver Behavior in Motion." Transportation Research Record: Journal of the Transportation Research Board 1640, no. 1 (1998): 17–22. http://dx.doi.org/10.3141/1640-03.

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Despite heavy investments in the transportation infrastructure and the existence of a young vehicle fleet, road safety in the affluent State of Kuwait continues to decline. Poor driver behavior and lack of enforcement of traffic regulations are believed to be the main causes of the unsafe driving environment. The findings of a research project designed to examine the relationship between seat belt use and road traffic violations in Kuwait are reported. The traffic violation behavior of 821 randomly selected drivers was recorded while the drivers were followed to their destinations. Factors of

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