scholarly journals Methods of Vehicle Recognition and Detecting Traffic Rules Violations on Motion Picture Based on OpenCV Framework

2021 ◽  
Vol 6 (2) ◽  
pp. 105-111
Author(s):  
Yevhen Fastiuk ◽  
◽  
Ruslan Bachynskyy ◽  
Nataliia Huzynets
Keyword(s):  
Video Data ◽  
Learning Technology ◽  
The Road ◽  
Vehicle Recognition ◽  
Moving Vehicles ◽  
Traffic Violations ◽  
On The Road ◽  
Apartment Complexes ◽  
Day By Day ◽  
Traffic Rules

In this era, people using vehicles is getting increased day by day. As pedestrians leading a dog for a walk, or hurrying to their workplace in the morning, we’ve all experienced unsafe, fast-moving vehicles operated by inattentive drivers that nearly mow us down. Many of us live in apartment complexes or housing neighborhoods where ignorant drivers disregard safety and zoom by, going way too fast. To plan, monitor and also control these vehicles is becoming a big challenge. In the article, we have come up with a solution to the above problem using the video surveillance considering the video data from the traffic cameras. Using computer vision and deep learning technology we will be able to recognize violations of rules. This article will describe modern CV and DL methods to recognize vehicle on the road and traffic violations of rules by them. Implementation of methods can be done using OpenCV Python as a tool. Our proposed solution can recognize vehicles, track their speed and help in counting the objects precisely.

scholarly journals An Automatic Traffic Rules Violation Detection and Number Plate Recognition System for Bangladesh

2020 ◽  
Vol 19 (2) ◽  
pp. 87-98
Author(s):  
Raian Shahrear ◽  
Md. Anisur Rahman ◽  
Atif Islam ◽  
Chamak Dey ◽  
Md. Saniat Rahman Zishan
Keyword(s):  
Neural Network ◽  
Recognition System ◽  
The Road ◽  
Controlling System ◽  
Detection And Identification ◽  
Violation Detection ◽  
Computer Vision Technology ◽  
On The Road ◽  
Day By Day ◽  
Traffic Rules

The traffic controlling system in Bangladesh has not been updated enough with respect to fast improving technology. As a result, traffic rules violation detection and identification of the vehicle has become more difficult as the number of vehicles is increasing day by day. Moreover, controlling traffic is still manual. To solve this problem, the traffic controlling system can be digitalized by a system that consists of two major parts which are traffic rules violation detection and number plate recognition. In this research, these processes are done automatically which is based on machine learning, deep learning, and computer vision technology. Before starting this process, an object on the road is identified through the YOLOv3 algorithm. By using the OpenCV algorithm, traffic rules violation is detected and the vehicle that violated these rules is identified. To recognize the number plate of the vehicle, image acquisition, edge detection, segmentation of characters is done sequentially by using Convolution Neural Network (CNN) in MATLAB background. Among the traffic rules, the following traffic signal is implemented in this research.

scholarly journals GENERAL SOCIAL AND SPECIAL-CRIMINOLOGICAL MEASURES TO PREVENT CRIMINAL OFFENSES IN THE FIELD OF ROAD SAFETY

2021 ◽  
Vol 76 (3) ◽  
pp. 115-125
Author(s):  
Pylyp Epryntsev ◽  
◽  
Yevhenii Zhuchenko ◽  
Keyword(s):  
Criminal Law ◽  
Road Safety ◽  
Traffic Accidents ◽  
The Road ◽  
Criminal Offenses ◽  
Traffic Violations ◽  
Illegal Acts ◽  
Precautionary Measures ◽  
On The Road ◽  
Traffic Rules

In the article the authors consider general social and special-criminological measures of prevention of criminal offenses in the field of road safety. It is pointed out that, for the most part, such criminal offenses are the result of criminally unlawful negligence and arrogance. Therefore, it cannot be said that the lion's share is committed by drivers with direct intent in order to obtain socially dangerous consequences. There are still cases caused by traffic violations by pedestrians, which significantly complicates the forecasting of such illegal acts, and therefore the timely creation of precautionary measures. The author points out that conditionally all the reasons related to the violation of traffic rules can be divided into: 1) the reasons due to the negligent attitude of the driver to perform their duties on the road (intoxication, loss of attention, etc.); 2) the reasons caused by careless attitude of pedestrians to traffic rules; 3) the reasons caused by the careless attitude of employees of service centers of the Ministry of Internal Affairs to performance of the duties. Thus, the main unifying factor is the negligence of the subjects involved in the organization of traffic. It is concluded that a number of criminological strategies for the prevention of criminal offenses in the field of traffic have been successfully implemented in our country. However, most of these strategies do not meet the requirements and realities of today, and therefore the criminological picture of traffic accidents remains consistently negative. This indicates the need to revise general social and special criminological measures and means of prevention, which will not only reduce the number of such socially dangerous acts, but also improve the general criminal law and criminological statistics.

scholarly journals IMPLIKASI COVID -19 TERHADAP KESADARAN HUKUM BERLALU LINTAS DI KABUPATEN INDRAGIRI HILIR

2021 ◽  
Vol 3 (1) ◽  
pp. 89-97
Author(s):  
Fitri Wahyuni, Indra Muchlis, Syarifuddin
Keyword(s):  
Law Enforcement ◽  
Road Traffic ◽  
Legal Aspect ◽  
Law Enforcement Officers ◽  
The Road ◽  
Legal Provisions ◽  
Global Pandemic ◽  
Traffic Violations ◽  
On The Road ◽  
Traffic Rules

COVID-19 as a global pandemic has significance for various aspects of the life of society, nation and state. Of the various aspects affected, one of which is the legal aspect, especially related to the awareness of traffic laws during the Covid 19 period. In this study the main problems are (1) What are the implications of Covid-19 on traffic law awareness in Indragiri Hilir Regency (2) ) What efforts did the police make to overcome the low level of legal awareness during the Covid-19 period in Indragiri Hilir Regency. This research is a sociological legal research that examines the applicable legal provisions and what happens in reality in society. Data collection techniques are through field observations and interviews with respondents. The occurrence of covid 19 had an impact on the awareness of traffic laws in Indragi Hilir Regency. This is evident from the results of research conducted by field researchers that there were many traffic violations during the Covid 19 period because the motorcycle riders thought that there was tolerance from law enforcement officers in making repressive efforts (prosecution) for those who violated traffic rules. During the Covid 19 era, people paid more attention to health protocols than road traffic rules, such as they were more afraid of not wearing masks than not wearing helmets on the road while driving a motorcycle. This assumption clearly shows that the level of legal awareness in road traffic is still low. Efforts are made to increase legal awareness through prevention and enforcement efforts. Prevention efforts are more advanced than prosecution during the Covid 19 period

A Study on Job Satisfaction among Tamil Nadu State Transport Corporation (TNSTC) Employees at Tiruvarur Branch

GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 230-242
Author(s):  
M. Ganesan, K ◽  
K. Veerakumar ◽  
N. R Vembu ◽  
Dr. M. K Durgamani ◽  
Dr. Renuka
Keyword(s):  
Job Satisfaction ◽  
Job Stress ◽  
Tamil Nadu ◽  
Heavy Traffic ◽  
Road Transportation ◽  
The Road ◽  
Tamil Nadu State ◽  
On The Road ◽  
Day By Day ◽  
Labour Turnover

Job satisfaction is an important factor for employees working in formal and informal sector. The job is small or big, permanent or temporary, risky or non-risky, job satisfaction is important. It is the mental feeling which drives the employees to excel. Job satisfaction is a combination of psychological, physiological and environmental circumstances. A satisfied employee is a contented and happy human being. The labour turnover depends upon job satisfaction. Even highly paid employees quit the job when they are not satisfied with the job. Road transportation in Tamilnadu is growing day by day. Job stress in the road transportation is very high due to increase in number of vehicle playing on the road and heavy traffic. The drivers and conductors working in public transport corporation are suffering from high job stress. If drivers and conductors are not satisfied with their job which leads to mental stresses and affects the productivity and also creates accidents. In this present study the researchers made an attempt to study the level of job satisfaction among the drivers and conductors who are working in the Tamilnadu State Transport Corporation (TNSTC). The study reveals the expectations of drivers and conductors working in TNSTC with regards to the attributes like salary, promotion and fringe benefits etc., are satisfactory and not detrimental. 

scholarly journals ANALISA CLUSTERING PADA DATA PELANGGARAN LALULINTAS DI PENGADILAN NEGERI DUMAI DENGAN MENGGUNAKAN METODE K-MEANS

2019 ◽  
Vol 4 (2) ◽  
pp. 1
Author(s):  
Elisawati Elisawati ◽  
Deasy Wahyuni ◽  
Adi Arianto
Keyword(s):  
Clustering Analysis ◽  
Motor Vehicle ◽  
District Court ◽  
Central Cluster ◽  
The Road ◽  
The Poor ◽  
Cluster Data ◽  
Traffic Violations ◽  
On The Road

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 carried out using the Rapidminer 5 application where the data tested was data from the Dumai District Court on December 2017, as many as 616 violations. Central cluster data consists of 3 clusters, namely C1 = Many, C2 = moderate and C3 = few who commit traffic violations. So the results of the data obtained where C1 produces 1 data, C2 gets as much as 4 data and C3 as many as 7 data. Where the type of violation that is often violated is the type of violation that does not use a helmet and the type of vehicle is a motorcycle. From the results of this study can be used or can be followed up with the holding of socialization to reduce the number of traffic violations. Keywords: Clustering Analysis, K-Means, Traffic Violations, Rapidminer

Class Differences and Traffic Deaths

1996 ◽  
Vol 83 (3) ◽  
pp. 1005-1006
Author(s):  
David J. Krus ◽  
Edward A. Nelsen
Keyword(s):  
European Countries ◽  
East European ◽  
The Road ◽  
Class Differences ◽  
Moving Vehicles ◽  
On The Road ◽  
Privately Owned

The transition of the East European countries from socialist to capitalist economies is marked by an exponential rise in traffic-related deaths. This increase is routinely ascribed to the rising numbers of privately owned cars; however, this explanation does not take into account the fact that, while in the Western societies the number of cars on the road and number of traffic deaths are positively correlated, in the postcommunist countries this correlation is negative. This finding is discussed within the framework of an hypothesis that class differences and related feelings of superiority contribute to homicides related to moving vehicles.

scholarly journals Color Variation from Vehicle on The Road and Its Environment Through Subtle Motion Study Case

2018 ◽  
Vol 3 (1) ◽  
pp. 13-19
Author(s):  
Septian Enggar Sukmana ◽  
Farah Zakiyah Rahmanti
Keyword(s):  
Road Accident ◽  
Video Data ◽  
Color Variation ◽  
Unexpected Result ◽  
The Road ◽  
Motion Study ◽  
Computation Process ◽  
On The Road ◽  
The One ◽  
Black Color

Road accident has been serious case in Indonesia, the big number of the cases is not decreasing for six years. Many ways have been done, one of example is exploiting smart camera or CCTV to observe mocement estimation explicitly or implicitly. One problem is when explicit-based technique is applied, the computation process would take more resource. Implicit-based technique like exploitting processing-based frequency domain must be tried to make a better study and produce more knowledge in this study field. Color magnification can helpful information to support better movement estimation. This eulerian-based technique may be the one useful method to help this study. This paper implements eluerian video magnification to get color magnification on road as observed environment. This technique produces unexpected result that unknown black color appears, it still ambiguous because some scene can be described as black color object magnification result and another is shocking camera effect so that the technique is difficult to obtain color magnfication result. PSNR results quite better value because in spite of color magnification result distraction, the scenery of the road is not covered fully. SSIM shows that some mapping in each video data can not results same pattern, it is suspicious that SSIM mapping is affected by this color magnification result.

scholarly journals Intolerance of ambiguity and achievement motivation of drivers

2018 ◽  
Vol 9 (4) ◽  
pp. 47-60
Author(s):  
E.Yu. Litvinova ◽  
S.A. Makeeva ◽  
M.A. Kharchenko
Keyword(s):  
Theoretical Analysis ◽  
Achievement Motivation ◽  
Empirical Studies ◽  
Personal Characteristics ◽  
Men And Women ◽  
The Road ◽  
Risk Appetite ◽  
Traffic Violations ◽  
On The Road ◽  
Ability To Drive

The article presents a theoretical analysis of cognitive, motivational and emotional components of road behavior of drivers of different sexes, due to their personal characteristics and existing stereotypes of perception of women-drivers in society. The article presents the results of empirical studies of the achievement motivation, inclination to risk and attitude to uncertainty of men and women drivers. Theoretical analysis suggests that male drivers are more risk-averse and more tolerant of uncertain situations in the traffic than women. At the same time, men in driving are more focused on achieving success, and women — on avoiding failure. An empirical study of 58 drivers (29 men and 29 women) showed that both men and women in driving demonstrate motivation for avoiding failure, however, the reasons for this are different. For women, they are linked to existing societal stereotypes about women’s ability to drive, and for men, to the complication of traffic and increased penalties for traffic violations. Male drivers risk appetite combined with a motive for avoiding failure. The study of attitudes to uncertainty revealed significant differences in the level of tolerance among drivers of different sexes, especially to the difficulty of the situation. We believe that women, due to existing stereotypes, perceive driving activity from the very beginning as more difficult than men, which also explains some of the features of their behavior on the road. The article presents recommendations on optimization of training in driving schools for drivers of different sexes

scholarly journals An algorithm for IoT based vehicle verification system using RFID

2019 ◽  
Vol 9 (5) ◽  
pp. 3751
Author(s):  
Alen Joseph Samuel ◽  
Shoney Sebastian
Keyword(s):  
Motor Vehicle ◽  
Rfid Technology ◽  
The Road ◽  
Verification System ◽  
On The Road ◽  
Verification Process ◽  
Pass Through ◽  
The Magnetic Field ◽  
Day By Day

The verification of vehicle documents is an important role of transport department which is rising day by day due to the mass registration of the vehicles. An automated vehicle verification system can improve the efficiency of this process.  In this paper, we propose an IOT based vehicle verification system using RFID technology. As a result, the vehicle checking which is done now manually can be replaced by automation. There is a loss of a significant amount of time when the normal vehicle checking is done manually. The proposed system will make this process automated. The present verification process is using inductive loops that are placed in a roadbed for detecting vehicles as they pass through the loop of the magnetic field. Similarly, the sensing devices spread along the road can detect passing vehicles through the Bluetooth mechanism. The fixed audio detection devices that can be used to identify the type of vehicles on the road. Other measurements are fixed cameras installed in specific points of roads for categorising the vehicles. But all these mechanisms cannot verify the documents and certificates of the vehicles. In our work, we have suggested an algorithm using RFID technology to automate the documentation verification process of the vehicles like Pollution, Insurance, Rc book etc with the help of RFID reader placed at road checking areas. This documents will be updated by the motor vehicle department at specific periods.

scholarly journals Impact 0f Prosecution Against Infringement Ticketing with Numbers Traffic Accidents in The Jurisdiction of Police Resort Semarang

2019 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Rudi Hendri Basuki ◽  
Umar Ma�ruf
Keyword(s):  
Government Regulation ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Traffic Enforcement ◽  
Accident Rate ◽  
The Road ◽  
Vehicle Inspection ◽  
Traffic Violations ◽  
On The Road ◽  
The Impact

This study aims to determine how is the implementation of the action by infringing traffic by a speeding ticket in the jurisdiction of Police in Semarang; How can the impact of infringing on a traffic enforcement with a ticket to the number of traffic accidents in the jurisdiction of Police in Semarang; and What constraints in action by infringing traffic by a speeding ticket in the jurisdiction of Semarang Police and how the solutions to overcome them.The method used by the author in this study is juridical empirical or sociological jurisdiction. Specifications of research used is descriptive analyticalBased on research conducted can be concluded that 1) Implementation of Traffic Violations Enforcement accordance with Government Regulation on Infringement Ticketing Act No. 80 Of 2012 on Procedures for� Vehicle Inspection and Enforcement Violations On the Road Traffic and Transportation Article 3, which reads� Vehicle Inspection; 2) The results in January to September 2018 is known that the impact of a speeding ticket to a very significant definitely one transport accident means the higher the number the lower the accident rate speeding ticket, speeding ticket conversely the lower the number the higher the number of accidents; and 3) Constraints in the prosecution of traffic violations by a speeding ticket in the jurisdiction of Semarang Police isThe lack of legal awareness in the society, lack of ability by the Police Authority problematic legislation, the lack of infrastructure to supportKeywords: Impact; Infringement; Traffic; Infringement Ticketing; Accident.

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