Traffic Offences Research Articles

Leveraging AI for Traffic Offense Prediction: A Deep Learning Approach

Leveraging AI for Traffic Offense Prediction: A Deep Learning Approach

Is a Driver's history of drunk driving and other traffic offenses linked to subsequent drunk driving and traffic crashes? A case study of Taiwan.

Crashes involving alcohol-impaired driving or driving under influence (DUI) are more likely to increase crash probability and severity. Many countries have adopted increasingly stringent policies in curbing DUI. Nevertheless, more and more studies show that while the total number of DUIs has reduced as a whole, DUI recidivism remains challenging. As such, this study seeks to research into whether it is possible to identify frequent DUI recidivists based on their traffic offense history, so that effective countermeasure could be put in place and in time. This study proposes using the drivers' traffic offense history and length of duration between two DUIs, the duration of re-offending, to identify frequent DUI recidivists. This approach is not only widely adopted in public health, but is also flexible in accommodating many modeling issues such as data censoring, recurrent events, and the inclusion of time-varying covariates to address questions like whether the probability of recidivism increases or decreases with subsequent DUI offenses or other traffic offenses or violations. Our major results show that: (1) For all drivers caught for a DUI, 10 % of them would be caught for another DUI within a year; (2) In contrast, the same one-year recidivism probability for those who accumulated two DUIs and two run-the-red-light could be as high as 17 %; (3) Each subsequent DUI increased the probability of a further DUI offense by 57 %; and (4) Each additional DUI offense was associated with 45 % increase in probability of being involved in a crash involving DUI. Overall, there are clear links between a driver's history of traffic offenses, DUI recidivism, and crash involvement, which could provide valuable information for authorities to profile potential recidivists and apply preventative measures in advance to reduce DUI-related crashes.

Implementasi Algoritma You Only Look Once (YOLOv8) untuk Mendeteksi Pelanggaran Lalu Lintas Berupa Tidak Menggunakan Helm (Studi Kasus di Jatiasih, Bekasi)

This research aims to implement the You Only Look Once (YOLO) algorithm in detecting traffic violations in the form of riders who do not use helmets in Jatiasih, Bekasi. The problem studied is the high number of violations in the form of riders who do not use helmets which play a vital role in protecting riders from danger. The expected solution is the development of an automatic detection system that is able to identify this offence with a high level of accuracy. The object of the research is motorcyclists in Jatiasih, Bekasi. The research method used includes applying the YOLO algorithm to video recordings from surveillance cameras at several monitoring points. Video data processing is done by a laptop and YOLO algorithm-based software. The results of this research are expected to support law enforcement efforts, increase awareness of helmet use, and improve road safety by building an automatic detection system that can identify offences such as not wearing a helmet. The results of this research will show how effective the YOLO algorithm is for spotting traffic offences.

HELMET DETECTION AND LICENSE PLATE RECOGNITION USING CNN

Right now, we're facing a lot of issues with traffic rules in India that might use some fresh perspectives to fix. There has been a rise in the number of accidents and fatalities in India caused by the traffic offense of riding motorcycles or mopeds without a helmet. The current system mostly relies on CCTV records to track traffic offenses. In such cases, the traffic police have to zoom in on the license plate to identify the offending rider if they aren't wearing a helmet. The traffic offenses are common, and the number of persons riding motorbikes is growing daily, so this takes a lot of time and effort. Imagine a system that could detect whether a motorcyclist or moped rider isn't wearing a helmet and, if found, immediately get the license plate number. Recent studies have effectively accomplished this task using various characteristics such as CNN, R-CNN, LBP, HoG, HaaR, etc. In terms of speed, accuracy, and efficiency, however, these works have their limitations when it comes to object recognition and categorization. To try to automate the process of finding drivers who don't wear helmets and getting their license plate numbers, this study developed a system called Non-Helmet Rider detection. The core idea is based on three-level deep learning for object detection. Using YOLOv2, the first level detects a person and a motorbike or moped; the second level uses YOLOv3, and the third level uses YOLOv2. The items recognized are a helmet and a license plate. After then, Optical Character Recognition is used to obtain the license plate registration number. There are some limitations and requirements placed on all of these methods, particularly the one that extracts license plates. The efficiency of the process is crucial since video is used as an input in this task. We have developed a comprehensive system that can recognize helmets and retrieve license plate numbers using the aforementioned approaches.

Features of criminal liability for offences against road safety and transport operation

The relevance of this study was conditioned by to the need to investigate and comparatively analyse international legislation on criminal liability for violations of road safety, since this issue is one of the key problems of law and order in Ukraine. Comparison of the approaches of different countries allows examining possible areas of improvement for Ukrainian criminal legislation considering the elevated fatality and injury rates on the roads. The purpose of this study was to identify the specific features of criminal liability for encroachments on road safety and operation of transport in the laws of such countries as Georgia, the Republic of Moldova, Lithuania, Poland, Spain, France, and Turkey. The methodology of the study included a comparative legal analysis of the criminal codes of these countries, considering the systematisation and structure of the rules relating to traffic offences. It was found that most countries use a two-tiered system of codification of criminal offences, with general provisions covering public safety issues and separate chapters dedicated to road safety. The study found that in some countries, such as Lithuania and Moldova, criminal liability for negligent acts is stricter than in Ukraine. The analysis showed that intentional acts that do not lead to real consequences but pose a potential threat, as is the case in Spain and Poland, are also criminalised. It was concluded that foreign legislation tends to impose harsher penalties for violations that pose a risk of grave consequences for life and health. The practical value of this study lies in the possibility of using its findings to improve Ukrainian criminal legislation, specifically, to increase liability for violations of traffic rules and operation of transport, which will help reduce road accidents and increase the level of law and order in the country

Law Enforcement of E-Ticket Cases at the Bantul District Prosecutor's Office

Law enforcement of E-Tilang cases has an important role in maintaining traffic order and security in Indonesia. This study aims to determine the role of the Bantul State Attorney's Office in enforcing the law of e-tickets or electronic tickets for traffic violations and the obstacles to the role of the Bantul State Attorney's Office in enforcing the law of e-tickets or electronic tickets for traffic violations. The research method used in this research is empirical legal research. The approach used in this research is a juridical-empirical approach, namely analysing the legal problems that have been formulated by combining legal materials both primary legal materials, secondary legal materials and tertiary legal materials which are secondary data with primary data obtained in the field through interviews. This research is a new contribution to the understanding of law enforcement related to the E-Ticket case at the Bantul District Attorney's Office. From a series of previous studies, various points of view have been studied in depth. This research aims to provide a more comprehensive understanding of the role and constraints of E-Ticket law enforcement, as well as highlighting innovations and best practices in the context of traffic law enforcement. This research shows that the role of the Bantul State Attorney's Office in enforcing the law of e-tickets for traffic offences is as a protector of personal data, a guarantor of legal certainty and justice, and as an executor. Obstacles in the implementation of its role include the absence of detailed legal rules governing the implementation of electronic-based law enforcement, then in the aspect of resources, still limited technological infrastructure, such as unstable internet access and inadequate computers, in terms of human resources which are still very limited, another inhibiting factor is from the community, the lack of public awareness and understanding of the importance of orderly traffic..

Rule-orientation and adherence to traffic laws among French drivers: An exploratory study

In 2022, 30 million traffic offences were recorded by the enforcement authorities on French roads, resulting in more than 16 million penalty points being deducted from driving licences. Why do French drivers not always comply with the rules of the road? Previous studies have shown that Attitudes, Subjective Norms and Perceived Behavioural Control are strong predictors of the intention to obey traffic laws (Theory of Planned Behaviour, TPB, Ajzen, 1991). In this paper, we investigate drivers’ relationship with traffic rules in more depth. We identified several other factors as potential extensions of the TPB in explaining compliance with traffic rules. To test the impact of these dimensions on compliance and to understand the motivations behind French drivers’ lack of compliance, we conducted an online questionnaire survey among a representative sample of 1021 French drivers (mean age: 44.3, 49.9 % women). In addition to the TPB measures, we used a combination of existing scales (Conformity and Sensation Seeking) and exploratory items specifically designed to measure additional components. We named these four distinct components Conditionality, Discourtesy, Authority Rejection, and Egonomy, respectively. Aside from the TPB components, Conditionality and Conformity predicted intentions to always obey traffic rules; testing the same model on reported drink-driving, we found an effect of Discourtesy and Sensation Seeking, but not of the TPB components measured at a general level (“towards traffic rules”); whereas Authority Rejection, Egonomy and Attitudes towards traffic rules were linked to attitudes towards police checkpoints. These findings open up new perspectives for the study of rule orientation in the field of road safety, raise questions about the relevance of conducting general prevention campaigns targeting specific behaviours, and reveal the difficulty perceived by the participants in ’always’ respecting the rules of the road.

Same-Sex Relationships and Criminal Behavior: A Total Population Study in The Netherlands

Sexual minority groups experience elevated risk across a range of adverse outcomes. Previous studies from the USA showed that these risks include contact with the criminal justice system for sexual minority females but not for males. This study examined whether this relationship between sexual minority status and criminal behavior was also found in a more secular country like the Netherlands with more progressive attitudes toward sexual minorities. Furthermore, the study aimed to examine whether this relationship applied to various types of crime and could be explained by unmeasured familial factors. Longitudinal data from the Dutch national population, including 75,362 individuals in a same-sex relationship and 3,464,906 individuals in opposite-sex relationships, were used to compare the risk of crime among males and females in same-sex and opposite-sex unions. Discordant sibling models were included to increase control over possible sources of confounding from shared familial factors. Analyses were repeated for six types of crime, including property offenses, violence, vandalism, and public order offenses, traffic offenses, drugs offenses, and other offenses. The results showed that the direction of the associations between same-sex relationships and offending differed for men and women. In general, men in same-sex relationships were less likely to be a suspect of crime compared to those in opposite-sex relationships [odds ratio (OR) = 0.685; p < .001]. Women in same-sex relationships exhibited higher risk than those in opposite-sex unions (OR = 1.560; p < .001). Similar patterns emerged for most crime types and the discordant sibling models yielded conclusions that were substantively similar to those among the total population.

Remarks on the Increasing of Liability of for Certain Traffic Offences

Abstract The author discusses the nature and scope of changes introduced to the Code of Petty Offences and the Code of Procedure in Petty Offences Cases by the Act of 2 December 2021. The amendment represents a drastic intervention by the legislator in the current legal framework regarding offences against safety and order in transportation. It foresees significant modifications in the legal and criminal response to these offences, transformations in the characteristics of selected types of prohibited acts, and proposes entirely new types of prohibited acts. The analysis suggests that the guiding principle behind these changes is to increase the degree of punitiveness of petty offences law towards perpetrators of traffic violations. This legislative approach raises concerns about the instrumental use of petty offences law with respect to the perpetrators of these offences. The adopted direction of changes raises suspicions that the legislator has not thoroughly familiarised themselves with the matter covered by their intervention. In any case, it is not grounded in the current state of traffic criminality, or in the analysis of judicial practice. An increase in repressiveness has never directly translated into a reduction in traffic criminality. The latter is a much more complex problem, involving the necessity of multi-faceted references.

Traffic Violation Detection System

Travel convenience is impacted by a number of factors, including the condition of the road, traffic, length of trip, accidents, speed, etc. The daily increase in accident rates poses the biggest concern in Sri Lanka. These events not only result in fatalities but also increase the nation's financial losses. Traffic congestion is brought on by road users' lack of discipline and sentiments, which may result in traffic offenses. The goals of this research are to curb any traffic infractions as well as reduce corruption and nepotism on the road. This system was developed as separate three models namely edge server, fine management system and centralized server. Edge server developed in python is to detect traffic violations such as parking, single line cutting, double line cutting, one way and u turn in real time according to the changing rules and constraints configured by the traffic police admin via the fine management system which supports a configurable platform designed using canvas designing tools. Upon edger server identifying violations, the functions in the centralized server responsible to recognize the number plate of the violated vehicle will be triggered and send a sms to driver for further fine management and payment supported by the fine management system. The mobile application controlling server is responsible to track and inform the violations to nearest police officer in any case the system could not rectify the vehicle number plate.

Pursuing road justice through cross-party advocacy

The process of attempting to influence policy is explored through the example of the UK All-Party Parliamentary Group for Cycling and Walking’s (APPGCW’s) inquiry on road justice, carried out in 2023. First the APPGCW is introduced, then the process of the inquiry briefly explained. To illustrate the practical business of developing recommendations as part of an inquiry, one potential recommendation is discussed in detail – the idea of basing penalties for traffic offences partly on the momentum of the vehicles involved. The rationale for such a policy is explained, then the practicalities and possible shortcomings examined. This discussion concludes with the reasoning behind opting not to make a recommendation along these lines. The paper then describes the inquiry report’s content and reception, and concludes with reflections on how reports of this kind are developed and whether they achieve their ends.

Settlement of Traffic Offences: A Shift in the Presumption of Innocence and the Impact on Legal Justice

Traffic offences are a serious issue in Indonesia, creating complex challenges for the justice system and social costs. Although Law No. 22/2009 has defined the rules, the high number of accidents and offences indicates the ineffectiveness of law enforcement. This study aims to investigate the impact of traffic offences on legal justice, the effectiveness of sanctions, and the shifting presumption of innocence in Indonesia. The research methodology included both quantitative and qualitative approaches, involving analyses of accident data and interviews with authorities. The results showed a high number of offences, a lack of effectiveness of Law No. 22 of 2009, and the phenomenon of "peace in place." The implementation of ETLE cameras became an alternative, despite internet access constraints. Perma No. 12/2016 changed the judicial process, moving from a presumption of innocence to a presumption of guilt. This shift provides uniform sanctions without considering individual circumstances. The limitation of violators' rights in ticket hearings violates the principle of justice. The implementation of e-ticket technology shows advantages, but the dependence on the internet and the potential for misuse are obstacles. The shift to the presumption of innocence in the Perma raises doubts about the fairness of the justice system. Improving fairness requires a re-evaluation of the application of sanctions, technological improvements, and a deeper understanding of the rights of offenders. These recommendations are expected to improve the justice system related to traffic offences in Indonesia.

Proactive policing and traffic disturbances: A quasi-experiment in three Israeli cities

Abstract This paper describes a quasi-experimental evaluation of a reform in Israel (‘EMUN’), which attempted to institutionalize problem-oriented policing on a national scale. The current study examines the effect of this reform on tackling traffic disturbance and road bullying offences. We compared three police stations that chose to deal with traffic offences using the tools and techniques provided through the reform (treatment stations) with five police stations that were matched - using a specially designed algorithm - on several criteria, including similar trends of traffic offences (comparison stations). Each treatment station was compared to two comparison stations using a difference-in-differences approach. In five out of six comparisons there were large and significant reductions in documented traffic disturbances in the targeted areas of the treatment stations compared to the control stations. We also found evidence of significant diffusions in crime control benefits in two of the treatment stations. However, there was evidence of significant geographical displacement to the buffer zone in the largest treatment stations. We attribute this to differences in the nature of the areas targeted and discuss the relative harms and benefits. The findings of the study show that institutionalizing a variety of evidence-based policing strategies has a promise not only for classic crimes (such as property and violence), but also for incivilities and quality-of-life offenses.

Smart Traffic Surveillance: Identifying Helmet-Less Riders and License Plate Recognition with YOLO and OCR Integration using Deep Learning

Currently, there are a number of issues with Indian traffic laws that can be resolved in a variety of ways. Riding a motorbike without a helmet is against the law and has increased the number of accidents in India. The current method mostly uses CCTV records to monitor traffic offences. When a rider is not wearing a helmet, traffic officers must zoom in on the licence plate and look into the frame where the infraction is occurring. However, because there are more and more traffic infractions and motorcycle ridership every day, this will take a lot of labour and time. What if there was a technology that would automatically search for traffic violations such as riding a motorbike without a helmet? hence, would automatically retrieve the number plate number of the bike. This study has been effectively completed by recent research using KNN, DNN-Classifier, etc. However, there are limitations to these works in terms of speed, accuracy, or efficiency in object identification and classification. The goal of this research project is to develop a non- helmet rider detection system that can automatically identify and retrieve a vehicle's number plate number when a driver fails to wear a helmet. Three-level Deep Learning for Object Detection is the key idea at play here. The items found are a human, a motorcycle at level one using YOLO, a helmet at level two using YOLO, Licence plate at the last level using YOLO. Next, OCR is used to obtain the number plate registration number. All of these methods—especially the section where the number plate number is extracted—are subject to predetermined limitations and conditions. Because video is the work's input, speed of execution is essential. We have developed a comprehensive algorithm for both number plate number extraction and helmet detection using the above-mentioned approaches.

TRAFFIC CRIMES

The topic of traffic crimes is a growing concern in many countries, including Brazil, due to serious accidents, injuries, and deaths resulting from violations of traffic laws. The aim of this work is to analyze the characteristics and main differences between intentional and negligent crimes, as well as their application to traffic offenses. The distinction between intentional and negligent crimes in traffic offenses lies in the presence or absence of intent, which is the deliberate and conscious will to commit the crime, according to current legislation. The classification of a traffic offense as intentional or negligent depends on a detailed analysis of the circumstances of each specific case, taking into account factors such as the conduct of the agent, the resulting outcome, the causal link, and the agent’s culpability, based on court precedents. The development of this work highlights that traffic offenses are classified in the Brazilian Traffic Code (CTB) and can be categorized as intentional or negligent, depending on the conduct of the agent and the resulting outcome. Intentional crimes occur when the driver acts with the intention of causing the outcome, while negligent crimes occur when the driver behaves negligently, recklessly, or in an unskilled manner, resulting in a traffic accident. The reference work used in this study emphasizes the importance of considering the presence or absence of intent in differentiating between intentional and negligent crimes in traffic offenses and underscores the need for an individualized analysis of each case. This research employed a bibliographic review methodology, which was essential to provide a theoretical foundation for the study and identify gaps and research opportunities on this topic. In conclusion, the application of intent or negligence to a specific case will depend on the evidence presented to the judge, both by the Public Prosecutor’s Office at the time of indictment and by the defense during the presentation of the response to the charges. Thus, the classification of the conduct ceases to be of an objective nature and becomes subjectively evaluated by the judge.

ANALISIS YURIDIS KEWENANGAN PEMERIKSAAN KENDARAAN BERMOTOR DI JALAN OLEH PPNS DI BIDANG LALU LINTAS DAN ANGKUTAN JALAN

Crime is a common problem in society and can be committed by anyone, both the perpetrator and the victim. Criminal policy used in tackling crime in Indonesia consists of two methods, namely preventive and repressive. In its implementation, it involves crime prevention investigators, police investigators, and civil servants (PPNS). However, the problem is the overlap between police investigators and PPNS because both have different authorities in conducting investigations. One of the well-known PPNS in Indonesia is the Road Traffic and Transport PPNS. In handling traffic and transport criminal offences, the investigation is carried out by two investigation agencies in accordance with Article 259 paragraph 1 of Law 22/2009 on traffic and transport. In the implementation of crime policy, it is important to coordinate activities between police and PPNS investigators to avoid overlapping authority. The role of the community in preventing crime by reporting suspicious activities to the authorities is also very important. In this way, it is hoped that the public can prevent crime by reporting suspicious activities to the authorities.

Types and spatial characteristics of traffic offences committed by road hauliers and carriers in the North Great Plain region, Hungary

This study examines the spatial distribution and structure of traffic offences in the Northern Great Plain region. The research is unique in that it examines a specific area through the lens of geography. The research shows and demonstrates that the research area of crime and transport geography is much broader than previous researches has shown. At the beginning of the study, the authors clarified the conceptual framework, as the terms “violation” and “offence” are often confused even in technical materials. The research shows which routes are the most frequently used by road hauliers in the regions under study and what type of checks have been carried out on these routes by the Transport Authorities of the Government Offices. The type of administrative penalty detected and the nationality breakdown of the infringements are described. The study typifies the infringements involving administrative fines by nationality category.

КРИМИНОЛОГИЧЕСКАЯ ХАРАКТЕРИСТИКА ЛИЧНОСТИ ОСУЖДЕННЫХ ПО ЧАСТЯМ 4 И 6 СТАТЬИ 264 УГОЛОВНОГО КОДЕКСА РОССИЙСКОЙ ФЕДЕРАЦИИ

The author analyzes statistical data on the main social and demographic features as well as some criminal and legal features (regarding the penalty) of convicts under Article 264, Parts 4 and 6 of the Criminal Code of the Russian Federation (traffic offenses and operation of vehicles leading to manslaughter by negligence) from 2015 to 2022 (no data available for 2023). The data were obtained from the Judicial Department of the Supreme Court of the Russian Federation.

Offence trajectories of young Australian novice drivers

This paper aims to add to the sparse research on patterns of traffic offending in young novice drivers by examining the trajectories of young Australian novices throughout the graduated driving licensing system (GDLS). Data on licensing, crashes and traffic offences for all persons aged under 25 years first licensed from July 2007 to June 2008 in New South Wales were supplied by transport authorities, with follow-up to January 2014. Eight hierarchical categories of offence were defined by seriousness. Total numbers of offences per month were plotted for one year after initial licensure while under supervision (L), after transitions to the first (P1) and second (P2) provisional licence phases and to unrestricted licensure (U). After excluding novices not transiting to P1, 75,470 novices (51.5 % male, 77.7 % 16 years old at L) remained. Of these 63,070 had a year of follow-up after P2 (52.5 % male, 82.3 % 16 years old at L) and 28,861 had a year of follow-up after U (55.5 % males, 91.7 % 16 years old at L), Offences were uncommon under at L but spiked after P1 and again after P2. Omitting GDLS offences there was a small increase after U. Patterns were broadly similar by age at L and time in L. Novices aged at least 18 years at L had the highest offence rates in the learner phase; those aged 17 years at L had the highest rates in P1 and P2. The longer novices spent in the supervised driving phase the lower their subsequent offence rates even allowing for age at P1. Urban or regional residence had little influence on offence rates but lower aggregate socio-economic status as measured by a census-derived index was associated with appreciably higher offence rates. Speeding was the most common offence type; dangerous/negligent driving was common immediately after P1, declining thereafter. These results are in broad agreement with previous research in noting the increase in offending as GDLS restrictions eased. They highlight the need for better understanding of the function of a GDLS in improving the safety of young drivers. They may also inform future enforcement and education policies for novice drivers. For example, rehabilitative interventions should occur coupled with enforcement soon after citation. Visible display of GDLS status would assist their identification.

Analysis of Car Rental Practices According to Law No. 22 of 2009 and Sharia Economic Law

Leasing is a right commonly exercised by the community and is one form of interaction that is often carried out. The problem in this study is about the practice of Car Rental according to Law Number 22 of 2009 concerning traffic rules and Sharia Economic Law that occurs at CV Galeri Rental in Banda Sakti District, Lhokseumawe City. The formulation of this research problem, namely: 1) How is the practice of car rental at CV Galeri Rental Lhokseumawe City? 2) How is the analysis of sharia economic law and Law 22 of 2009 concerning traffic offences on car rental practices at CV Galeri Rental? This research is field research, using qualitative research methods. The approach method in this research uses empirical-juridical method. The techniques used in collecting data in this research are through observation, interviews and documentation. The results of the research show that the provisions regarding rights and obligations in the implementation of car leases at CV Galeri Rental are contained in a lease agreement in which the terms and conditions including rights and obligations are regulated. Case settlement due to negligence by the tenant in the car rental agreement at CV Galeri Rental in the form of damage or delay, the rental party refers to the agreement letter owned by CV Galeri Rental. In accordance with Law Number 22 Year 2009 Article 234. According to the view of Sharia Economic Law on the practice of Leasing, the original law is mubah (permissible), as long as it does not conflict with the rules set out in the Quran, Hadith and Ijma'. Likewise, the practice of car rental leasing that occurs at CV Galeri Rental Lhokseumawe City is also permissible, because the lease and the benefits are good for both the tenant and the renting party. But in the practice of renting a car rental, the renting party does not determine the rental time limit, but depends on the car renter how many days he wants to rent out his car.