The difference in road traffic safety in the U.S.A. and in the Netherlands—A study of statistical data

1972 ◽  
Vol 4 (1) ◽  
pp. 67-73
Author(s):  
H.A.W. Nijveld
Keyword(s):  
The Netherlands ◽  
Traffic Safety ◽  
Statistical Data ◽  
Road Traffic ◽  
Road Traffic Safety ◽  
The Difference

scholarly journals Road safety analysis for the section of A1 motorway passing the Kuyavian-Pomeranian Voivodeship

2018 ◽  
Vol 19 (6) ◽  
pp. 121-126
Author(s):  
Jan Kempa ◽  
Grzegorz Bebyn
Keyword(s):  
Traffic Safety ◽  
Road Safety ◽  
Statistical Data ◽  
Road Traffic ◽  
Safety Analysis ◽  
The State ◽  
Road Accidents ◽  
Generic Structure ◽  
Road Traffic Safety

The article discusses the state of road traffic safety on the A1 motorway, on its section passing the territory of the Kuyavian-Pomeranian Voivodeship. The presented data concerns the years 2016 - 2017. As it is evidenced by statistical data prepared by Police, motorways are characterized by the highest level of accidents rates of fatalities and injuries from all types of public roads at present in Poland. Therefore, it is necessary to take effective actions to improve road safety on all motorways in Poland, including the A1 motorway passing the Kuyavian-Pomeranian Voivodeship. The paper presents the generic structure of road accidents, the time of their occurrence and circumstances, conditions of the surface caused by weather, as well as the reasons road accidents occurs.

Road Traffic Safety Assessment Based on the ADAMS/Car under Snow and Freezing Weather

2012 ◽  
Vol 226-228 ◽  
pp. 2366-2369
Author(s):  
Tie Qiang Li ◽  
Rong Guo Ma ◽  
Fang Chao Wu ◽  
Ya Juan Deng
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Lateral Displacement ◽  
Weather Conditions ◽  
Coupling Model ◽  
Steering Angle ◽  
Safety Level ◽  
Road Traffic Safety ◽  
Road Friction ◽  
The Difference

In order to assess the traffic safety in snow and freezing weather accurately, determined the difference of vehicle lateral displacement of snow freezing and normal weather conditionsthe as the indicator, vehicle model, road model and vehicle-road coupling model were set up by using software ADAMS/Car. By changing road friction cofficient, road conditions in snow and freezing weather were simulated, step steering were carried out, vehicle lateral displacement of different speed and steering angle were obtained, the difference of vehicle lateral displacement of different speed and steering angle under snow and freezing weather and normal weather conditions were calculated, then the curve of difference of vehicle lateral displacement were generated, traffic safety level division of road under snow and freezing weather were researched based on these curves.

scholarly journals Road traffic safety analysis on the example of selected national roads in the Lubelskie Voivodeship

2021 ◽  
Vol 201 (3) ◽  
pp. 572-584
Author(s):  
Renata Stefaniak
Keyword(s):  
Traffic Safety ◽  
Road Safety ◽  
Statistical Data ◽  
Road Traffic ◽  
Annual Reports ◽  
Road Accidents ◽  
Improvement Program ◽  
Road Traffic Safety ◽  
The Right ◽  
National Road

The article shows the essence of road safety in the Lubelskie Voivodeship on the example of two longest and most dangerous No. 19 and 74 national roads running through the voivodeship. The article aims to diagnose the current state of road safety in the Lubelskie Voivodeship and identify opportunities for its improvement. The statistical data of the Central Statistical Office in Lublin, annual reports on road accidents of the Police Headquarters in Warsaw, reports of the National Road Safety Council, and documents of the General Directorate for National Roads and Motorways Branch in Lublin were used to analyze the safety. The analysis of the statistical documents allowed the conclusion that ten national roads run through the Lubelskie Voivodeship. Roads No. 9, 17, and 74 are the longest ones. However, on a national scale, roads No. 19 and 74 are of great importance to road safety. It has been observed that the number of road accidents in the Lubelskie Voivodeship is decreasing year by year; thus, the number of accident victims is also falling. The national road No. 19 remains the most dangerous. Passenger car drivers most frequently caused road accidents since they did not adopt the speed to road conditions or obey the right of way. The Provincial Road Safety Improvement Program in Lublin assumed a significant reduction in the number of victims killed and injured on the roads. Unfortunately, after analyzing the statistical data over the years, it can be stated that even though the assumed goal was not achieved, the accident victim rate improved.

scholarly journals Chosen Problems of Road Accidents Analyses in Poland

2008 ◽  
Vol 8 (1) ◽  
pp. 125-134
Author(s):  
Jerzy Kisilowski ◽  
Jarosław Zalewski
Keyword(s):  
Traffic Safety ◽  
Statistical Data ◽  
Road Traffic ◽  
Point Of View ◽  
Road Accidents ◽  
Road Traffic Safety ◽  
Crash Tests

Chosen Problems of Road Accidents Analyses in Poland This article offers classification of car collisions from the point of view of the most frequent accidents and crash tests. The most important problems are the consequences of incomplete control of a car. The article focuses on the safety of road traffic in Poland and presents an attempt to analyze the causes of most frequent collisions and their consequences. It gives statistical data and attempts to analyze the level of road traffic safety. Some important indicators are shown here to compare the situation in France and Poland, which enabled verification of some opinions about road traffic safety in Poland.

Safety Enhancement by Automated Driving: What are the Relevant Scenarios?

2020 ◽  
Vol 64 (1) ◽  
pp. 1686-1690
Author(s):  
Niklas Grabbe ◽  
Michael Höcher ◽  
Alexander Thanos ◽  
Klaus Bengler
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Test Cases ◽  
Automated Driving ◽  
Road Traffic Safety ◽  
Human Driver ◽  
Driving Task ◽  
Promising Solution ◽  
Vehicle Automation ◽  
Safety Enhancement

Automated driving offers great possibilities in traffic safety advancement. However, evidence of safety cannot be provided by current validation methods. One promising solution to overcome the approval trap (Winner, 2015) could be the scenario-based approach. Unfortunately, this approach still results in a huge number of test cases. One possible way out is to show the current, incorrect path in the argumentation and strategy of vehicle automation, and focus on the systemic mechanisms of road traffic safety. This paper therefore argues the case for defining relevant scenarios and analysing them systemically in order to ultimately reduce the test cases. The relevant scenarios are based on the strengths and weaknesses, in terms of the driving task, for both the human driver and automation. Finally, scenarios as criteria for exclusion are being proposed in order to systemically assess the contribution of the human driver and automation to road safety.

scholarly journals Assessing inequality, irregularity, and severity regarding road traffic safety during COVID-19

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Lei Lin ◽  
Feng Shi ◽  
Weizi Li
Keyword(s):  
New York ◽  
Los Angeles ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Human Mobility ◽  
Critical Conditions ◽  
Road Traffic Safety ◽  
Accident Data ◽  
The Impact

AbstractCOVID-19 has affected every sector of our society, among which human mobility is taking a dramatic change due to quarantine and social distancing. We investigate the impact of the pandemic and subsequent mobility changes on road traffic safety. Using traffic accident data from the city of Los Angeles and New York City, we find that the impact is not merely a blunt reduction in traffic and accidents; rather, (1) the proportion of accidents unexpectedly increases for “Hispanic” and “Male” groups; (2) the “hot spots” of accidents have shifted in both time and space and are likely moved from higher-income areas (e.g., Hollywood and Lower Manhattan) to lower-income areas (e.g., southern LA and southern Brooklyn); (3) the severity level of accidents decreases with the number of accidents regardless of transportation modes. Understanding those variations of traffic accidents not only sheds a light on the heterogeneous impact of COVID-19 across demographic and geographic factors, but also helps policymakers and planners design more effective safety policies and interventions during critical conditions such as the pandemic.

scholarly journals Classification of Russian cities by levels of road traffic safety: specifics of required management decisions

2018 ◽  
Vol 170 ◽  
pp. 05009
Author(s):  
Artur Petrov ◽  
Daria Petrova
Keyword(s):  
Regression Analysis ◽  
Russian Federation ◽  
Traffic Safety ◽  
Road Traffic ◽  
Spatial Differentiation ◽  
Rate Heterogeneity ◽  
Accident Rate ◽  
Road Traffic Safety ◽  
Relative Disadvantage

The article considers the results of research of accident rate heterogeneity in cities-administrative centers of subjects of Russian Federation (2015, 2016). Using methods of ranging, regression analysis and spatial differentiation these cities were classified into 5 classes on the basis of relative disadvantage in road traffic safety sphere. For each group of cities differentiated recommendations on financing regional road traffic safety programs were suggested.

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