Relevant bibliographies by topics / Traffic violation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Traffic violation'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Traffic violation"

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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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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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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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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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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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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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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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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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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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C, Banupriya. "AI-Powered Smart Traffic Management System." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47454.

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ABSTRACT Urban traffic congestion and rule violations remain significant challenges for modern cities. This paper proposes an AI-Powered Smart Traffic Management System that integrates real-time video analysis, intelligent violation detection, license plate recognition, and automated challan issuance through Telegram. The system uses computer vision and machine learning algorithms to identify traffic violations such as over-speeding, helmet non-compliance, seatbelt negligence, and red-light jumping. License Plate Recognition (LPR) is used to identify the vehicle, and an automated challan is se
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Dissertations / Theses on the topic "Traffic violation"

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Yildirim, Zumrut. "Religiousness, Conservatism And Their Relationship With Traffic Behaviour." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608820/index.pdf.

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The present study investigated the relationship between religiousness, conservatism and traffic behaviour. It was shown that, intrinsic religious orientation significantly predicted ordinary violations of both the drivers and the pedestrians. Religiousness seems to have a positive effect by orienting the individual to obey the rules and to refrain from risk taking behaviour. Moreover, components of conservatism (conservation of values and resistance to change) were found to affect the aggressive violations and the positive behaviours of the drivers. While conservation of values decreased aggre
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Sutherland, Fritz. "Driver traffic violation detection and driver risk calculation through real-time image processing." Diss., University of Pretoria, 2005. http://hdl.handle.net/2263/66246.

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Road safety is a serious problem in many countries and affects the lives of many people. Improving road safety starts with the drivers, and the best way to make them change their habits is to offer incentives for better, safer driving styles. This project aims to make that possible by offering a means to calculate a quantified indicator of how safe a driver's habits are. This is done by developing an on-board, visual road-sign recognition system that can be coupled with a vehicle tracking system to determine how often a driver violates the rules of the road. The system detects stop signs, red
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Baluja, Rohit. "An analysis of the impact of deficient traffic control devices on road traffic violations in Delhi." Thesis, University of Birmingham, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.532268.

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This applied research has introduced and subsequently investigated the concept of Road Traffic Violations (RTVs) as a yardstick for the assessment of road safety and its underlying causative factors in developing countries. The research has focused in establishing the relationship between RTVs and the deficiencies in the road environment, primarily those related to the Traffic Control Devices( TCDs) at signalised intersections. An exemplar methodology has been developed to help agencies in developing countries to reduce RTVs by examining their causal factors and by devising measures for dealin
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Wong, Chi-wing Andy. "A study of road traffic accidents in relation to public light bus driving behaviour in Hong Kong." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B36628761.

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Webber, Jason J. "Indiana Criminal Code 9-30-2-2 who does it protect? /." [Muncie, Ind.] : Ball State University, 2008. http://cardinalscholar.bsu.edu/375.

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Lenz, Jacqueline A. "A descriptive case study of handicapped parking violations in a mid-western [sic] city." Online version, 1999. http://www.uwstout.edu/lib/thesis/1999/1999lenz.pdf.

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Fulton, Brent D. "Incorporating traffic enforcement racial profiling analyses into police department early intervention systems." Santa Monica, CA : RAND, 2007. http://www.rand.org/pubs/rgsd_issertations/RGSD211/.

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Harry, Alexandra McEachern. "Sensation seeking and self-reported cognitive failures as predictors of road crashes and traffic violations /." Title page, contents and abstract only, 1996. http://web4.library.adelaide.edu.au/theses/09AR.PS/09ar.psh323.pdf.

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Bovenschulte, Bernd. "Rechtliche Probleme der Umsetzung des Prinzips der gegenseitigen Anerkennung von Entscheidungen über Geldstrafen und Geldbußen : am Beispiel von Verkehrsdelikten im Verhältnis Deutschland und Österreich /." Hamburg : Kovač, 2008. http://swbplus.bsz-bw.de/bsz285109111cov.htm.

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Haley, Jamalieh. "Escalating Language at Traffic Stops: Two Case Studies." PDXScholar, 2017. https://pdxscholar.library.pdx.edu/open_access_etds/3887.

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In recent years, the public has seen a rise in recorded footage of violent encounters between police and Black American citizens, partially due to technology such as cell phones, dash-cameras, and body-cameras. This linguistic study examines how these encounters get escalated to the point of violence by asking 1) what kind of directives were used, 2) how were they responded to, 3) how the directives contributed to escalation, and 4) how might power and authority have played a role. I use two case studies to analyze directives and their responses. Findings reveal that repetition of directives o
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Books on the topic "Traffic violation"

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Hawaii. Legislature. Legislative Reference Bureau. Nonresident traffic violation enforcement. Legislative Reference Bureau, 1991.

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Asian Conference on Traffic in Women (1991 Seoul, Korea). Traffic in women: Violation of women's dignity and fundamental human rights. Asian Women Human Rights Council, 1993.

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Jessup, Eric L. Evaluation of violation and capture of overweight trucks: A case study. Washington State Dept. of Transportation, 1996.

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Jeanneret, Yvan. La violation des devoirs en cas d'accident: Analyse critique de l'article 92 LCR. Helbing & Lichtenhahn, 2002.

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Idaho. Peace Officer Standards and Training Council., ed. Criminal code index with elements: Including alcohol code, fish & game violations, counties, traffic violation code, social security and selective service calendars. The Council, 1989.

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Michael, Stephen. What is the effect of driver education programs on traffic crash and violation rates?: Final report 546. Arizona Dept. of Transportation, 2004.

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L, Neale Vicki, McGhee Catherine C, Virginia Transportation Research Council, Virginia Polytechnic Institute and State University. Transportation Institute., Virginia. Dept. of Transportation., and United States. Federal Highway Administration., eds. Intersection decision support: Evaluation of a violation warning system to mitigate straight crossing path collisions. Virginia Transportation Research Council, 2006.

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San Francisco (Calif.). Office of the Controller. Audits Division. [Review of the parking and moving violation fines paid to the San Francisco International Airport by San Mateo County]. Office of the Controller, 1999.

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Kotowski, Wojciech. Prawne problemy ruchu drogowego: Komentarz - [stan prawny: listopad 2006 r.]. C.H. Beck, 2007.

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Steele, Clifford R. Wisconsin misdemeanors & moving traffic violations. 2nd ed. Butterworth Legal Publishers, 1989.

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Book chapters on the topic "Traffic violation"

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Maniraj, S. P., Tadepalli Sarada Kiranmayee, Aakanksha Thakur, M. Bhagyashree, and Richa Gupta. "Traffic Violation Tracker and Controller." In New Trends in Computational Vision and Bio-inspired Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41862-5_31.

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Pattanashetty, Vishal B., Venkatesh Mane, Nalini C. Iyer, and Shweta Kore. "Traffic Rules Violation Detection System." In Information and Communication Technology for Competitive Strategies (ICTCS 2020). Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0739-4_8.

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Dinesh, V., S. Phvan, and P. K. Raghul. "SPK-A Traffic Violation Detection System." In Human Machine Interaction in the Digital Era. CRC Press, 2024. http://dx.doi.org/10.1201/9781003428466-40.

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Bhavya, A. B., P. Prathiksha, K. N. Poojashree, B. K. Sahana, and M. V. Shreya. "Traffic Rules Violation Detection and Intimation." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4391-2_53.

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Valliyammai, C., J. Sridharan, and A. Ramanathan. "Automation of Traffic Violation Detection and Penalization." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1483-8_21.

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Nguyen, Hao Xuan, and Minh N. T. Nguyen. "Automated Traffic Violation Monitoring and Reporting System." In Lecture Notes on Data Engineering and Communications Technologies. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-75593-4_20.

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Jariwala, Jinal, and Rajesh Gujar. "Development of Red Light Violation Detection System for Heterogeneous Traffic." In Recent Advances in Traffic Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3742-4_9.

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Amiruzzaman, Md. "Prediction of Traffic-Violation Using Data Mining Techniques." In Proceedings of the Future Technologies Conference (FTC) 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02686-8_23.

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Sargar, Omkar, Saharsh Jain, Sravan Chittupalli, and Aniket Tatipamula. "Traffic Monitoring and Violation Detection Using Deep Learning." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3481-2_14.

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Jain, Swastik, Pankaj, Riya Sharma, and Zameer Fatima. "Traffic Rule Violation and Accident Detection Using CNN." In International Conference on Innovative Computing and Communications. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4071-4_66.

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Conference papers on the topic "Traffic violation"

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Devis, Delvin, Parthav Povil, Parvathy J. Menon, Pravya Pavithran, and Sreeraj R. "Traffix: Dapp For Traffic Violation Reporting." In 2025 2nd International Conference on Trends in Engineering Systems and Technologies (ICTEST). IEEE, 2025. https://doi.org/10.1109/ictest64710.2025.11042827.

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S, Meera, Sharmika Sree R, Nithish Kumar R, Hari Kishore G, and Sajin Kumar P. "Traffic Rules Violation Detection." In 2024 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS). IEEE, 2024. https://doi.org/10.1109/icpects62210.2024.10780398.

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Patil, Sakshi, Aditi Mokashi, Omkar Satav, Sahil Sarkate, Anita Shinde, and Vishal Adsool. "Violation Eye – AI Based Traffic Violation Reporting Web Application." In 2024 First International Conference on Technological Innovations and Advance Computing (TIACOMP). IEEE, 2024. http://dx.doi.org/10.1109/tiacomp64125.2024.00026.

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Mohamed Uvais, Mohamed Yasir, Vazeerudeen Abdul Hameed, and Muhammad Ehsan Rana. "Traffic Signal Violation Detection Through Computer Vision." In 2023 4th International Conference on Data Analytics for Business and Industry (ICDABI). IEEE, 2023. http://dx.doi.org/10.1109/icdabi60145.2023.10629616.

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Sharmila Agnal, A., K. Aakash, and C. S. Navin. "Traffic Signal Violation Handling Using Machine Learning." In 2024 2nd International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT). IEEE, 2024. https://doi.org/10.1109/icaiccit64383.2024.10912139.

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Alzate, Jermogenes Victor J., Ramon G. Garcia, and Roland M. Gadon. "Traffic violation detection using YOLOv8 with custom datasets." In 2nd International Conference on Computing, Machine Learning and Data Science, edited by Benjamin W. Wah, Yanan Sun, and Jixin Ma. SPIE, 2025. https://doi.org/10.1117/12.3072296.

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M, Prathilothamai, Sujan K, Ganapathi G, Nandagopal B, and Varnika Ramkumar. "Traffic Rules Violation Detection System using YOLO v8 Model." In 2024 10th International Conference on Electrical Energy Systems (ICEES). IEEE, 2024. https://doi.org/10.1109/icees61253.2024.10776906.

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Thomas, Renjith, Ajesh F, Asha Susan John, and Sonia K. S. "Automated Detection of Traffic Rule Violation using Deep Learning Techniques." In 2024 IEEE Recent Advances in Intelligent Computational Systems (RAICS). IEEE, 2024. http://dx.doi.org/10.1109/raics61201.2024.10690036.

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Dwivedi, Ashish, Ayush Rastogi, Gautam Sharma, and Raj Singh Kushwaha. "IoT Based Two-Wheelers Traffic Violation Detection System Using YOLOv7." In 2024 2nd World Conference on Communication & Computing (WCONF). IEEE, 2024. http://dx.doi.org/10.1109/wconf61366.2024.10692167.

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Gnanakumar, D., S. V. Jairus Ponrabi, N. Ravindran, Ahmed Razvi, and K. Gokulakannan. "Advanced Traffic Violation Detection with Tesseract OCR and Computer Vision." In 2024 International Conference on Circuit, Systems and Communication (ICCSC). IEEE, 2024. http://dx.doi.org/10.1109/iccsc62074.2024.10616606.

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