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

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

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/1202/1/012034 ◽

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.

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THE IMPACT OF ROAD PARAMETERS AND THE SURROUNDING AREA ON TRAFFIC ACCIDENTS

Transport ◽

10.3846/1648-4142.2009.24.42-47 ◽

2009 ◽

Vol 24 (1) ◽

pp. 42-47 ◽

Cited By ~ 17

Author(s):

Tomas Šliupas

Keyword(s):

Traffic Accident ◽

Road Network ◽

Traffic Accidents ◽

Road Traffic ◽

Real Data ◽

Road Traffic Accidents ◽

Surrounding Area ◽

Accident Rate ◽

The Road ◽

The Impact

The article analyses the data on road traffic accidents in Lithuanian main and interurban road networks in the years 2002–2006. The road network is divided into 341 road sections. The surrounding area and road parameters of each of the sections are measured. Then, the dependence of traffic accident rate on the parameters is studied and described using linear and multiple regressions. The equations are built using 90% of the available data and tested forecasting traffic accident rate for the rest of 10% of the data comparing the obtained results with the real data.

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EVALUASI KINERJA JALAN NASIONAL TERHADAP KARAKTERISTIK LALU LINTAS PADA RUAS JALAN NASIONAL KOTA PALEMBANG

JURNAL TEKNO GLOBAL UIGM FAKULTAS TEKNIK ◽

10.36982/jtg.v9i1.1082 ◽

2020 ◽

Vol 9 (1) ◽

Author(s):

Sartika Nisumanti ◽

Evina Krisna

Keyword(s):

Traffic Congestion ◽

Traffic Accidents ◽

Road Traffic ◽

Heavy Traffic ◽

Service Level ◽

Traffic Volume ◽

The Road ◽

Road Capacity ◽

On The Road ◽

The Impact

The roads transportation is an important infrastructure as one of the land transportation infrastructures for the movement of social activities and to support economic development, specifically in Palembang City. The population growth of Palembang City has resulted in an increase in the number of vehicles and highway users. As a result, transportation activities in Palembang, especially at Parameswara roads are increasing. The impact of this, there will be heavy traffic volume, resulting in conflicts on the road, which lead to traffic accidents. Therefore, there will be congestion and a decrease in the performance of the road speed.The research is conducted at Parameswara Road in Palembang that visually diminished the ability to accommodate the road traffic volume per day, accordingly the effect of traffic that occurs due to the lack of road capacity as the sequence of large volume traffic. The purpose of this study is to determine the capacity and level of road services to carried out the performance value on this road. The method used in the analysis is the Greenshield model, Greenberg, and Underwood. This study explains the maximum volume at peak hour that develop on Monday is between 1561 smp/hour and 1549 smp/hour. Whereas the lowest is around 1225 smp/hour and 1008 smp/hour that occurs on Sunday. Therefore, the analysis of service level on the research years at Parameswara Road depicts the saturated traffic conditions and low starting speed with D service index category and service level analysis at 10 years of planning time projections, the lpda result is from 2022 to 2026, The Parameswara road conditions at E and F service index categories are the traffic jam circumstances and slight speed. Hence, it necessitates constructing a non-plot way at Parameswara Road intersection to tackle this traffic congestion.Keywords: Greenshield, Greenberg, Underwood, Road Capacity.

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The formula commonly used to calculate velocity change in vehicle collisions

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering ◽

10.1243/0954407981525803 ◽

1998 ◽

Vol 212 (1) ◽

pp. 73-78 ◽

Cited By ~ 5

Author(s):

R Smith

Keyword(s):

Traffic Accidents ◽

Road Traffic ◽

Velocity Change ◽

Vehicle Collisions ◽

The Road ◽

Deformation Law ◽

Impulsive Forces ◽

On The Road ◽

The Masses ◽

The Impact

A vehicle's velocity change in a crash, Δ v, is helpful in the scientific investigation of road traffic accidents. This note discusses the formula commonly used to calculate Δ v. A new derivation of this formula for planar motion is given here. The derivation is based upon the conservation laws and leads to an extension of the existing formula. It is not necessary to assume any deformation law for the vehicles in order to obtain the results. The new derivation clarifies the conditions under which the commonly used formula is valid. It shows that the masses and yaw moments of inertia of the vehicles must not be significantly changed by the collision. Further, tyre and other forces must be negligible when compared with the impulsive forces generated by the impact. Finally, there is a condition on the components of the velocities at the point where the resultant impulses act. The analysis shows that the commonly used formula neglects restitution effects and so tends to underestimate the actual velocity change. In fact, restitution effects are important for low-speed impacts. Impact speed calculated from the commonly used formula is not as accurate as speeds obtained by other methods. Nevertheless, in the absence of any marks on the road, such calculations may be the only way of scientifically estimating a vehicle's speed.

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Analysis of Vehicle–Pedestrian Interactive Behaviors near Unsignalized Crosswalk

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198121999066 ◽

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.

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Extracting Road Traffic Volume in the City before and during covid-19 through Video Remote Sensing

Remote Sensing ◽

10.3390/rs13122329 ◽

2021 ◽

Vol 13 (12) ◽

pp. 2329

Author(s):

Elżbieta Macioszek ◽

Agata Kurek

Keyword(s):

Travel Behavior ◽

Traffic Management ◽

Road Traffic ◽

Traffic Volume ◽

The Road ◽

Traffic Characteristics ◽

Annual Average Daily Traffic ◽

On The Road ◽

The Impact ◽

The City

Continuous, automatic measurements of road traffic volume allow the obtaining of information on daily, weekly or seasonal fluctuations in road traffic volume. They are the basis for calculating the annual average daily traffic volume, obtaining information about the relevant traffic volume, or calculating indicators for converting traffic volume from short-term measurements to average daily traffic volume. The covid-19 pandemic has contributed to extensive social and economic anomalies worldwide. In addition to the health consequences, the impact on travel behavior on the transport network was also sudden, extensive, and unpredictable. Changes in the transport behavior resulted in different values of traffic volume on the road and street network than before. The article presents road traffic volume analysis in the city before and during the restrictions related to covid-19. Selected traffic characteristics were compared for 2019 and 2020. This analysis made it possible to characterize the daily, weekly and annual variability of traffic volume in 2019 and 2020. Moreover, the article attempts to estimate daily traffic patterns at particular stages of the pandemic. These types of patterns were also constructed for the weeks in 2019 corresponding to these stages of the pandemic. Daily traffic volume distributions in 2020 were compared with the corresponding ones in 2019. The obtained results may be useful in terms of planning operational and strategic activities in the field of traffic management in the city and management in subsequent stages of a pandemic or subsequent pandemics.

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A study on Private Car Accidents

International Journal of Novel Trends in Pharmaceutical Sciences ◽

10.26452/ijntps.v11i1.1409 ◽

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.

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Studies on the impact of the technical characteristics of local roads on road safety

MATEC Web of Conferences ◽

10.1051/matecconf/201926205006 ◽

2019 ◽

Vol 262 ◽

pp. 05006

Author(s):

Stanisław Gaca ◽

Mariusz Kieć

Keyword(s):

Road Safety ◽

Road Traffic ◽

Road Accidents ◽

Safety Measures ◽

Accident Prediction ◽

The Road ◽

Access Road ◽

Local Roads ◽

On The Road ◽

The Impact

Local roads (district roads) constitute an important part of the road network in Poland, making up around 29.7 % (124,945 km) of all public roads. In 2017, 10,578 accidents, which is 35.7% of all accidents in Poland, took place on local roads. These roads are used primarily by regular users who are very familiar with the defects of these roads. This means that the effects of the low technical standard of local roads and the insufficient number of road traffic devices on the safety on the road can be partly compensated for by the fact that drivers adjust their behaviour to the conditions on the road. This hypothesis can be verified through developing dependency models of road safety measures of local roads’ and technical characteristics. The article presents the research carried out based on regression models of accident prediction. The models were developed with the use of the data on the road surroundings arrangement (built-up areas, access), road condition and the extent of signposting, including data on speed limits and overtaking as well as risk exposure variables. Due to the incomplete data on accidents and the small number of accidents, different approaches to the modelling of the number of road accidents were applied.

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Overview of approaches to driver fatigue recognition and existing technical solutions

Izvestiya MGTU MAMI ◽

10.31992/2074-0530-2020-45-3-48-58 ◽

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.

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Analysis of the advancements in real-life performance of highly automated vehicles' with regard to the road traffic safety

MATEC Web of Conferences ◽

10.1051/matecconf/201823105003 ◽

2018 ◽

Vol 231 ◽

pp. 05003 ◽

Cited By ~ 1

Author(s):

Arkadiusz Matysiak ◽

Paula Razin

Keyword(s):

Traffic Safety ◽

Large Scale ◽

Road Traffic ◽

Real Life ◽

Automated Vehicles ◽

Automated Driving ◽

The Road ◽

Road Traffic Safety ◽

On The Road ◽

The Impact

The article presents the analysis of the performance of the vehicles equipped with automated driving systems (ADS) which were tested in real-life road conditions from 2015 to 2017 in the state of California. It aims at the effort to assess the impact on the road safety the continuous technological advancements in driving automation might have, based on of the first large-scale, real-life test deployments. Vehicle manufacturers and other stakeholders testing the highly automated vehicles in California are obliged to issue yearly reports which provide an insight on the test scale as well as the technology maturity. The so-called 'disengagement reports' highlight the range and number of control takeovers between the ADS and driver, which are made either based on driver's decision or information provided by the vehicle itself. The analysis of these reports allowed to investigate the development made in automated driving technology throughout the years of tests, as well as the direct or indirect influence of the external factors (e.g. various weather conditions) on the ADS performance. The results show that there is still a significant gap in reliability and safety between human drivers and highly automated vehicles which has been yet steadily decreasing due to technology advancements made while driving in the specific infrastructure and traffic conditions of California.

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