Police Academy in Szczytno, Poland

2021 ◽  
Vol 13 (1) ◽  
pp. 267-283
Author(s):  
Paweł Musiał
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Weather Conditions ◽  
Time Frame ◽  
Police Academy ◽  
The Road ◽  
The Face ◽  
On The Road ◽  
Bad Weather ◽  
Modern Technologies

Traffic accidents are a very common cause of death or disability in people. They usually involve users of various vehicles on the road or pedestrians. They are also among the main problems of public health in Poland. Accidents cause many human tragedies every year. Every day, many people die on Polish roads for many different reasons. The motorcycle season tends to change its time-frame from year to year, taking the form of a year-round. Recklessness, non-compliance with road rules, excessive speed, bad weather conditions and mistakes made by car drivers cause many traffic accidents that involve motorcyclists. They result in severe multi-organ trauma or instant death of the victims. Modern technologies designed to improve the safety of motorcycles as well as the protections used in helmets and protective clothing are helpless in the face of traffic accident mechanisms. The author analyzed the data obtained from the Police Headquarters Road Traffic Department, showing the number of road incidents involving motorcyclists in 2019. The material shows the scale of accidents broken down into causes, number of road incidents in individual months and age of the perpetrators. The references to data from previous years show the problem of accidents on Polish roads and the position of Poland in the European statistics as a country with a high percentage of fatalities in traffic accidents.

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.

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.

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 Overview of approaches to driver fatigue recognition and existing technical solutions

2020 ◽  
Vol 1 (3) ◽  
pp. 48-58
Author(s):  
Ya.D. Saprykin ◽  
◽  
V.I. Ryazantsev ◽  
A.A. Smirnov ◽  
◽  
...  
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Physiological State ◽  
Steering Wheel ◽  
Driver Fatigue ◽  
The Road ◽  
Advantages And Disadvantages ◽  
Falling Asleep ◽  
On The Road ◽  
Technical Solutions

The article analyzes the existing methods for determining the driver's condition. Driving in a state of fatigue, according to various statistics, is the cause of a large number of road traffic accidents (RTA). The percentage of accidents in Russia associated with the driver falling asleep while driving in 2018 is about 20%, in the USA the number of accidents for the same reason reaches 100,000 per year. The aim of the work is to review existing approaches to recognizing driver fatigue and existing technical solutions in this area. The article discusses such approaches as fatigue recognition based on the physiological state of the driver, recognition based on the driver's behavior, namely his speech and visual signs while driving, fatigue determination based on the nature of the vehicle's movement on the road and based on the driver's actions on the controls, the approaches based on the subjective assessment of the driver's condition. The advantages and disadvantages of each of the approaches were analyzed. The paper also provides an overview of existing fatigue recognition systems from various manufacturers that are currently used on vehicles and are designed to warn the driver of impending fatigue. It was revealed that in modern conditions of road transport operation, the most optimal approaches to fatigue recognition are based on an assessment of the driver's impact on the steering wheel, visual signs of driver fatigue and the nature of the vehicle's movement on the road, therefore, it is proposed to further focus on these methods.

An epidemiological study on the road traffic accidents from hills of north India

2014 ◽  
Vol 2 (2) ◽  
pp. 71
Author(s):  
SunilKumar Raina ◽  
BP Gupta ◽  
Narinder Mahajan ◽  
Ashok Bhardwaj ◽  
Anmol Gupta
Keyword(s):  
Epidemiological Study ◽  
Traffic Accidents ◽  
Road Traffic ◽  
North India ◽  
Road Traffic Accidents ◽  
The Road ◽  
On The Road

scholarly journals Road Traffic Safety Analysis Of Different Junction Types On The State Roads

2021 ◽  
Vol 1202 (1) ◽  
pp. 012034
Author(s):  
Valentina Amare ◽  
Juris Smirnovs
Keyword(s):  
Traffic Safety ◽  
Road Network ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Accidents ◽  
The Road ◽  
Road Traffic Safety ◽  
Road Capacity ◽  
On The Road ◽  
The Impact

Abstract The highest number of road accidents occurs at junctions. One of the aims of traffic organisation is to improve traffic safety in these areas. Based on a variety of indices – road capacity, points of conflict, number, and severity of road traffic accidents – different alternatives for junctions are evaluated. However, the road network has many junctions and roads serve to travel from point "A" to point "B" at a given time. Therefore, one of the most important tasks when addressing the issue of road safety is to find a rational way of improving the safety without losing the importance of the road. The aim of this paper is to analyse the impact of different junctions on the road network and basing on actual data develop a method for the evaluation of different types of junctions with respect to road class.

scholarly journals Road Accidental Analysis and Identify the Black Spot

2020 ◽  
Vol 5 (8) ◽  
pp. 871-876
Author(s):  
Jaffar Hussian Meer ◽  
Sukhdeep Singh ◽  
Komalpreet Singh
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Black Spot ◽  
Motor Vehicles ◽  
Road Accidents ◽  
The Road ◽  
Black Spots ◽  
On The Road ◽  
Adverse Influence ◽  
Capital Development

The increase in motor vehicles accompanied with expansion of roads has brought with it the challenge of addressing the adverse influence of road traffic accidents. Road incidents are a nationwide cataclysm with ever increasing trend which incurs a human health and development challenge and highly affect the human capital development of every nation. A mortality rate database (WHO, 2002) assures that India has highest number of accidents. Accident Black Spots are those locations on the road which have higher severity of accident either in terms of numbers or in terms of injuries. In this paper, efforts have been made to identify the location of accident black spots on national highway from singhpora pattan to panthachowk srinagar.The present era accidents are contributing major deaths worldwide due to increase in vehicular traffic.It has been estimated that every year 1.38 lakh lose their limbs and 6 lakh people get injured in road accidents in india.our country incurs a loss of 58000 crore each year due to road accidents. The most used roads to travel from jalandhar in punjab to uri in kashmir is NH-1A.The old name for NH-44 is NH-1A which was replaced after renumbering of all national highways in year 2010. In this report,the analysis includes study of some major accident spots or busy intersections in the NH-1A in between Pantha chowkh Srinagar to Singhpora Pattan.The study includes visiting sites,collecting required data for analysis and derives the results and remedies from what we had got. This report will be containing the material surveyed,pictures of road at different locations ,road details,figures,material for understanding of the unknown and finally the conclusion

scholarly journals Motorcycle System for Optimum Road Safety with Anti-theft Capability

2020 ◽  
Vol 5 (6) ◽  
pp. 422-432
Author(s):  
Carlo H. Godoy Jr Godoy Jr
Keyword(s):  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
The Philippines ◽  
High Increase ◽  
The Road ◽  
On The Road ◽  
National Road ◽  
Possible Cause ◽  
Test Result

Due to road traffic accidents, 6941 Filipinos died in 2010, and thousands more were wounded or disabled. Head and neck injuries are the main cause of death, severe injury, and motorcycle users ' disabilities. Motorcycle users make up a large proportion of those on the road who were killed. The study’s main purpose is to develop an MCU Based Motorcycle System for Optimum Road Safety with Anti-theft Capability that will help motorcycle riders to be safe while travelling in national roads. The researchers will be using the prototyping methodology where in a prototype is built according to the initial requirements gathered from the motorists themselves. The expected result of the proposed methodology is the system will be utilizing the different function of each modules to ensure that the riders will be able to detect and avoid possible danger while on the road. As a result of different literature in relation to each module, the system is expected to provide a new leap to ensure the safety of all riders here in the Philippines. Future studies will ensure the development of the system, provide testing and improve the system’s functionality depending on the test result. Due to the high increase in the number of cars and motorcycle travelling on national road, the percentage of accidents also is getting higher. In line with that, the proposed system is expected to lessen the percentage of accident by avoiding the possible cause of it.

scholarly journals Road Traffic Accidents in Kathmandu Valley

2018 ◽  
Vol 6 ◽  
pp. 37-44
Author(s):  
Krishna Prasad Dhakal
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Weather Condition ◽  
Document Analysis ◽  
The Other ◽  
Kathmandu Valley ◽  
Road Traffic Accidents ◽  
The Road ◽  
On The Road ◽  
Shed Light

This article presents the information received from documents available in the Police Head- Quarters, Operation Department, Traffic Directorate, Naxal, Kathmandu and Metropolitan Traffic Police Division, Kathmandu along with some journals and websites covering five years from 2069 to 2074. The main aim of carrying out this research was to shed light on the road traffic accidents of Kathmandu valley. The data have been presented through document analysis and analyzed here using both quantitative and qualitative techniques. The major findings include that Road Traffic Accidents are the outcomes of many factors ranging from the negligence of the driver to the weather condition and the condition of road. Despite the dense presence of government and its bodies, the study showed that maximum number of road traffic accidents occur in Kathmandu valley. Youngsters riding bikes and driving cars involved in accident are found maximum in number. Because of the immediate rescue and hospitalization, the number of deaths in Kathmandu valley was found to be decreasing in comparison to the other parts of Nepal.Journal of Health Promotion Vol.6 2008, p.37-44

scholarly journals Deep Learning for image based weather estimation: a focus on the snow

2020 ◽  
Author(s):  
Pierre Lepetit ◽  
Cécile Mallet ◽  
laurent Barthes
Keyword(s):  
Snow Depth ◽  
Road Traffic ◽  
Weather Conditions ◽  
Snow Accumulation ◽  
Learning Approaches ◽  
Snow Layer ◽  
The Road ◽  
On The Road ◽  
Set Up ◽  
The One

<p>The road traffic is highly sensitive to weather conditions. Accumulation of snow on the road can cause important safety problems. But road conditions monitoring is as hard as critical: in mid-latitude countries, on the one hand, the spatial variability of snowfall is high and on the other hand, accurate characterization of snow accumulation mainly relies on costly sensors.</p><p>In recent decades, webcams have become ubiquitous along the road network. The quality of these webcams is variable but even low-resolution images capture information about the extent and the thickness of the snow layer. Their images are also currently used by forecasters to refine their analysis. The automatic extraction of relevant meteorological information is hence very useful.</p><p>Recently, generic and efficient computer vision methods have emerged. Their application to image-based weather estimation has become an attractive field of research. However, the scope of existing work is generally limited to high-resolution images from one or a few cameras.</p><p>In this study, we show that for a moderate effort of labelling, recent Machine Learning approaches allow us to predict quantitative indices of the snow depth for a large variety of webcam settings and illumination.</p><p>Our approach is based on two datasets. The smallest one contains about 2.000 images coming from ten webcams that were set up near sensors devoted to snow depth measurements.</p><p>The largest one contains 20,000 images coming from 200 cameras of the AMOS dataset. Meteorological standard rules of human observation and the specifics of the webcams have been taken into account to manually label each image. These labels are not only about the thickness and the extent of the snow layer but also describe the precipitation (rain or snow, presence of streaks), the optical range and the foreground noise. Both datasets contain night images (45%) and at least 15% of images corrupted by foreground noise (filth, droplets, and snowflakes on the lens).</p><p> </p><p>The labels of the AMOS subset allowed us to train ranking models for snow depth and visibility using a multi-task setting. The models are then calibrated on the smallest dataset. We tested several versions, built from pre-trained CNNs (ResNet152, DenseNet161, and VGG16).</p><p>Results are promising with up to 85% accuracy for comparison tasks, but a 10% decrease can be observed when the test webcams have not been used during the training phase.</p><p>A case study based on a widespread snow event over the French territory will be presented. We will show the potential of our method through a comparison with operational model forecasts.</p>

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