scholarly journals Standard Operating Crime Investigation Traffic Accidents

2018 ◽  
Vol 1 (3) ◽  
pp. 837
Author(s):  
M Farid Amirullah
Keyword(s):  
Traffic Accidents ◽  
Standard Operating Procedure ◽  
Traffic Police ◽  
The Road ◽  
East Indies ◽  
Standard Operating ◽  
Traffic Violations ◽  
Police Action ◽  
On The Road ◽  
Technical Capacity

History Traffic in Indonesia can not be separated from the development of the world Automotive technology, which originated from the discovery of the engine with petroleum fuels. In the days of the Dutch East Indies government then ruled Indonesia started bringing vehicles wheel 4 and wheel 2 to Indonesia, causing traffic activity. And when the car and motorcycle multiply causing many problems - the problems of traffic, such as traffic violations and accidents. Given the above, of course of police duties particularly Traffic Police Unit increasingly severe, in the sense of Traffic Police Unit should continue to maintain and improve the technical capacity of the police in order to deal with problems like traffic violations and traffic accidents, in addition to the Police Unit Then Trails should be able to provide a breakthrough in order to increase awareness to the public about the correct procedures and safe traffic and police action to reduce the number of traffic accidents on the road.� For that to improve the professionalism and quality of work performed is necessary to standardize the work that will be used as working guidelines called the Standard Operation Procedure (SOP)Keywords: Standard Operating Procedure; Investigation; Traffice Accident.

scholarly journals Penanganan Tindak Pidana Perkara Pelanggaran Lalulintas Di Satlantas Polres Pematangsiantar

2020 ◽  
Vol 3 (1) ◽  
pp. 97-102
Author(s):  
Septian Dwi Rianto ◽  
Alpi Sahari ◽  
Ahmad Fauzi
Keyword(s):  
Human Error ◽  
Traffic Accidents ◽  
Field Research ◽  
Road User ◽  
Traffic Police ◽  
The Road ◽  
Library Research ◽  
Traffic Violations ◽  
On The Road ◽  
Taking Action

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 interviews with related objects. The results showed that the forms of traffic violations that occurred were motorists breaking traffic signs, driving not using a complete safety system. Some acts and sanctions for violations which are categorized as traffic violations regulated by Law No. 22 of 2009. Factors handling obstacles to traffic violations in Siantar Traffic Police Station Siantar, namely the human factor (Human Error), the factor of inadequate road infrastructure and facilities causing traffic violations. Efforts to deal with traffic offenses at the Siantar Police Traffic Police Unit are preventive and repressive measures to take action by giving a letter of reprimand or verbally, taking action by giving a ticket.

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.

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.

Analysis of Vehicle–Pedestrian Interactive Behaviors near Unsignalized Crosswalk

2021 ◽  
pp. 036119812199906
Author(s):  
Byeongjoon Noh ◽  
Dongho Ka ◽  
David Lee ◽  
Hwasoo Yeo
Keyword(s):  
South Korea ◽  
Traffic Accidents ◽  
Road Traffic ◽  
The Road ◽  
Video Footage ◽  
Premature Deaths ◽  
Vehicle Velocity ◽  
Behavioral Features ◽  
Velocity Changes ◽  
On The Road

Road traffic accidents are a leading cause of premature deaths and globally pose a severe threat to human lives. In particular, pedestrians crossing the road present a major cause of vehicle–pedestrian accidents in South Korea, but we lack dense behavioral data to understand the risk they face. This paper proposes a new analytical system for potential pedestrian risk scenes based on video footage obtained by road security cameras already deployed at unsignalized crosswalks. The system can automatically extract the behavioral features of vehicles and pedestrians, affecting the likelihood of potentially dangerous situations after detecting them in individual objects. With these features, we can analyze the movement patterns of vehicles and pedestrians at individual sites, and understand where potential traffic risk scenes occur frequently. Experiments were conducted on four selected behavioral features: vehicle velocity, pedestrian position, vehicle–pedestrian distance, and vehicle–crosswalk distance. Then, to show how they can be useful for monitoring the traffic behaviors on the road, the features are visualized and interpreted to show how they may or may not contribute to potential pedestrian risks at these crosswalks: (i) by analyzing vehicle velocity changes near the crosswalk when there are no pedestrians present; and (ii) analyzing vehicle velocities by vehicle–pedestrian distances when pedestrians are on the crosswalk. The feasibility of the proposed system is validated by applying the system to multiple unsignalized crosswalks in Osan city, South Korea.

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

scholarly journals Nine Recommendations for the Safety on Road both of the People and the Traffic Police

2018 ◽  
Vol 1 (01) ◽  
pp. 79-85
Author(s):  
Madhur Dev Bhattarai
Keyword(s):  
Cost Effective ◽  
Road Accident ◽  
Public Hospitals ◽  
Occupational Hazards ◽  
Traffic Police ◽  
The Road ◽  
The People ◽  
On The Road ◽  
The Cost ◽  
Injured Patients

Safety of people and traffic police on road and the provision of prompt and appropriate treatment of injured persons in road accident are urgent concerns. The nine recommendations accordingly made are 1) Considering anyone who informs about or brings to the hospitals the accident victims as innocent until proved otherwise, 2) Annual payment by all vehicle owners (as per the cost of vehicles) to generate treatment fund for any road accident injured patients in the free general (not paying or private or extended health service) outdoor or emergency clinics or ward of the public hospitals irrespective of anyone’ fault in the accident (insurance or other agencies may be assigned to handle the amount deposited and reimbursement of the payments to the hospitals), 3) Implementation of helmet wearing by motorcycle riders and pillion riders in motorcycles, 4) Stricter fine for hazardous traffic offenses, 5) Drivers of the larger vehicles should not automatically be held responsible for any accidents involving other smaller vehicles (to prevent smaller vehicles and motorcycles to drive recklessly), 6) Drivers should not be just held responsible to bear health expenses of injured patients (which is much more than the compensation required in the event of death of injured persons); this is to encourage drivers to take injured persons immediately to hospitals and prevent inclination to allow their deaths indirectly or directly; the drivers should be proportionately fined or punished as per the traffic regulations if they are found to be negligent, 7) Safe and visible platform for the traffic police to stay on the road, 8) Provision of cost-effective respirators for traffic police and traffic supervisors, and 9) Compensation for occupational hazards to the traffic police and field traffic supervisors by distributing to them adequate proportion (e.g. one-third to one-half) of the fund collected by stricter fine paid for the hazardous traffic offences. Provision of various allowances, including for hazards, and benefits is a common practice in the country. Compensation for the occupational hazards of the traffic police provides incentives to and motivates them to remain vigilant about hazardous traffic offenses day and night everywhere and, thus, is essential for the safety of the people.   

Real-Time V2V Communication With a Machine Learning-Based System for Detecting Drowsiness of Drivers

2021 ◽  
Vol 13 (4) ◽  
pp. 35-50
Author(s):  
Ahmed Y. Awad ◽  
Seshadri Mohan
Keyword(s):  
Machine Learning ◽  
Traffic Accidents ◽  
Ad Hoc ◽  
Economic Losses ◽  
Drowsy Driving ◽  
The Road ◽  
V2v Communication ◽  
Physical Injuries ◽  
On The Road ◽  
The U.S

This article applies machine learning to detect whether a driver is drowsy and alert the driver. The drowsiness of a driver can lead to accidents resulting in severe physical injuries, including deaths, and significant economic losses. Driver fatigue resulting from sleep deprivation causes major accidents on today's roads. In 2010, nearly 24 million vehicles were involved in traffic accidents in the U.S., which resulted in more than 33,000 deaths and over 3.9 million injuries, according to the U.S. NHTSA. A significant percentage of traffic accidents can be attributed to drowsy driving. It is therefore imperative that an efficient technique is designed and implemented to detect drowsiness as soon as the driver feels drowsy and to alert and wake up the driver and thereby preventing accidents. The authors apply machine learning to detect eye closures along with yawning of a driver to optimize the system. This paper also implements DSRC to connect vehicles and create an ad hoc vehicular network on the road. When the system detects that a driver is drowsy, drivers of other nearby vehicles are alerted.

A study on Private Car Accidents

2021 ◽  
Vol 11 (1) ◽  
pp. 10-24
Author(s):  
Abdulmajeed Alamri ◽  
Tarek M. Esmael ◽  
Sami Fawzy ◽  
Hany Hosny ◽  
Saleh Attawi ◽  
...  
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Traffic Injury ◽  
Economic Losses ◽  
Moving Vehicle ◽  
The Road ◽  
Lost Productivity ◽  
On The Road

In this study, road traffic injury (RTI) was defined as any injury resulting from a road traffic accident irrespective of severity and outcome. Road traffic accident (RTA) was defined as any crash on the road involving at least one moving vehicle, irrespective of it resulting in an injury. This could include collision with a vehicle or any non`moving object while driving/riding a vehicle, collision with a moving vehicle while walking/running/standing/ sitting on the road, or fall from a moving vehicle. The burden of road traffic accidents (RTA) is a leading cause of all trauma admissions in hospitals worldwide. Road traffic injuries cause considerable economic losses to victims, their families, and to nations as a whole. These losses arise from the cost of treatment (including rehabilitation and incident investigation) as well as reduced/lost productivity (e.g. in wages) for those killed or disabled by their injuries and for family members who need to take time off work (or school) to care for the injured. Road traffic fatality in the Kingdom of Saudi Arabia (KSA) is the highest, accounts for 4.7% of all mortalities. Road injuries also are reported to be the most serious in this country, with an accident to injury ratio of 8:6. In this study, we try to focus on some causes of the accidents in KSA, so we can implement the prevention plan.

Vehicle Detection and Tracking in Complex Traffic Circumstances with Roadside LiDAR

2019 ◽  
Vol 2673 (9) ◽  
pp. 62-71 ◽  
Author(s):  
Zhenyao Zhang ◽  
Jianying Zheng ◽  
Hao Xu ◽  
Xiang Wang
Keyword(s):  
High Resolution ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Vehicle Detection ◽  
Traffic Data ◽  
The Road ◽  
Detection And Tracking ◽  
Area Of Interest ◽  
Vehicle Detection And Tracking ◽  
On The Road

The problem of traffic safety has become increasingly prominent owing to the increase in the number of cars. Traffic accidents often occur in an instant, which makes it necessary to obtain traffic data with high resolution. High-resolution micro traffic data (HRMTD) indicates that the spatial resolution reaches the centimeter level and that the temporal resolution reaches the millisecond level. The position, direction, speed, and acceleration of objects on the road can be extracted with HRMTD. In this paper, a LiDAR sensor was installed at the roadside for data collection. An adjacent-frame fusion method for vehicle detection and tracking in complex traffic circumstances is presented. Compared with the previous research, objects can be detected and tracked without object model extraction or a bounding box description. In addition, problems caused by occlusion can be improved using adjacent frames fusion in the vehicle detection and tracking algorithms in this paper. The data processing procedure are as follows: selection of area of interest, ground point removal, vehicle clustering, and vehicle tracking. The algorithm has been tested at different sites (in Reno and Suzhou), and the results demonstrate that the algorithm can perform well in both simple and complex application scenarios.

scholarly journals Assessing Significant Factors Affecting Risky Riding Behaviors of Motorcyclists

2020 ◽  
Vol 10 (18) ◽  
pp. 6608
Author(s):  
Wins Cott Goh ◽  
Lee Vien Leong ◽  
Richard Jun Xian Cheah
Keyword(s):  
Positive Affect ◽  
Latent Variables ◽  
Traffic Accidents ◽  
Negative Relationship ◽  
Positive Outcome ◽  
Factors Affecting ◽  
The Road ◽  
Maximum Variance ◽  
Hypothesis Model ◽  
On The Road

This study was conducted in Malaysia, where motorcycle traffic accidents represent a high percentage of fatality among overall traffic accidents. Studies have shown that risk perception and positive outcome of risky riding behavior have a significant impact on a rider’s decision making. Therefore, this study is targeted at further understanding of Malaysian motorcyclists within the locality of their home country. A questionnaire survey was conducted to gather motorcycle rider’s information, together with their perception of the three factors mentioned above. A reliability test of the findings was analyzed using Cronbach’s Alpha, while a PCA analysis was conducted to determine the linear combinations that have maximum variance. Subsequently, a statistical model was constructed based on the latent variables’ relations, the relation between the latent variables and observed variables, and also the hypothesis model. The model confirms that the positive affect of the risky behavior has a significant positive relationship with motorcyclists’ risk behavior (estimate coefficient = 1.016). Findings in the model also show that older motorcyclists are less likely to take part in risky riding behavior while riding on the road, with an estimate coefficient of −0.037 and a negative relationship with positive affect (estimate coefficient = −0.032).

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