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.

scholarly journals The concept of average speed measurements network in the West Pomeranian

2018 ◽  
Vol 19 (12) ◽  
pp. 238-241
Author(s):  
Katarzyna Sosik
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Road Transport ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
The West ◽  
Accident Rate ◽  
Average Speed ◽  
Intelligent Transport ◽  
Road Traffic Safety

The article presents the concept of implementing a network of average speed measurements in the West Pomeranian. The author focused on solutions of Intelligent Transport Systems to improve the safety of road transport. The first part of the article discusses the state of road traffic safety in the West Pomeranian. In the next part, the solutions of Intelligent Transport Systems used to record the speed of road vehicles and the method of data recording and processing were discussed. In the third part, the accident maps and the locations of the stored sectional speed measurements were analysed, on the basis of which the proposition of places for the implementation of the network of average speed measurements was created due to the high accident rate.

scholarly journals Problems of road traffic injuries and road traffic safety in Russia

2020 ◽  
pp. 27-34
Author(s):  
S. S. Aleksanin ◽  
S. V. Shport
Keyword(s):  
Russian Federation ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Alcohol Intoxication ◽  
Road Traffic Accidents ◽  
The Public ◽  
The Road ◽  
Road Traffic Safety ◽  
The Russian Federation

Relevance. The paper is devoted to problems of ensuring road traffic safety in Russia, which is the public task of great importance involving the implementation of the policy for protecting people's health, life, and property.Intention. To look for ways of optimizing and implementing the measures aimed at preventing the technogenic emergencies.Methodology. To analyze the indicators of road traffic accidents in the Russian Federation over five years as well as the federal laws in the field of road traffic safety.Results and Discussion. Risk factors of traffic accidents include: alcohol intoxication, speed limit exceeded, overtaking in the wrong place, driver talking, smoking while driving, driver fatigue. In the Russian Federation, there is a persistent downward trend in the number of accidents. In 2019, 164,358 traffic accidents (-2.2 %; all comparisons vs 2018) occurred, 16,981 (-6.8 %) persons died, 210,877 (-1.9 %) persons were injured. According to the Ministry of Internal Affairs, the number of accidents due violation of the Road Rules by drivers was 146,688 (-1 %); 14,420 (-5.7 %) persons died and 195,037 (-0.8 %) persons were injured. In 2019, road traffic accidents caused by drunk drivers tended to decrease (12,040; -3.5 %); 11,510 (-4 %) persons died and 160,725 (-0.4 %) persons were injured.Conclusion. Drivers' health is directly related to road traffic safety; health promotion would contribute to decreasing the number of road traffic accidents and traffic-related injuries.

scholarly journals Research on the classification for road traffic visibility based on the characteristics of driving behaviour – a driving simulator experiment

2020 ◽  
Vol 3 (1) ◽  
pp. 30-36
Author(s):  
Kun Wang ◽  
Weihua Zhang ◽  
Zhongxiang Feng ◽  
Cheng Wang
Keyword(s):  
Traffic Safety ◽  
Driving Simulator ◽  
Road Traffic ◽  
Driving Behavior ◽  
Control Measures ◽  
Content Type ◽  
The Road ◽  
Road Traffic Safety ◽  
Fine Classification

Purpose The purpose of this paper is to perform fine classification of road traffic visibility based on the characteristics of driving behavior under different visibility conditions. Design/methodology/approach A driving simulator experiment was conducted to collect data of speed and lane position. ANOVA was used to explore the difference in driving behavior under different visibility conditions. Findings The results show that only average speed is significantly different under different visibility conditions. With the visibility reducing, the average vehicle speed decreases. The road visibility conditions in a straight segment can be divided into five levels: less than 20, 20-30, 35-60, 60-140 and more than 140 m. The road visibility conditions in a curve segment can be also divided into four levels: less than 20, 20-30, 35-60 and more than 60 m. Originality/value A fine classification of road traffic visibility has been performed, and these classifications help to establish more accurate control measures to ensure road traffic safety under low-visibility conditions.

scholarly journals Classification of Local Governments by Road Traffic Safety Characteristics

2020 ◽  
Vol 38 (5) ◽  
pp. 361-374
Author(s):  
Subin PARK ◽  
Saerona CHOI ◽  
Seolyoung LEE ◽  
Cheol OH
Keyword(s):  
Traffic Safety ◽  
Local Governments ◽  
Road Traffic ◽  
Road Traffic Safety

Audit of road traffic safety on federal roads of Krasnoyarsk Territory

2020 ◽  
pp. 57-62
Author(s):  
Evgeniy Sergeevich Voevodin ◽  
◽  
Kristina Vyacheslavovna Baklanova ◽  
Nikolay Viktorovich Shadrin ◽  
Andrey Mikhaylovich Askhabov ◽  
...  
Keyword(s):  
Detailed Analysis ◽  
Traffic Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Road Traffic Accidents ◽  
Accident Rate ◽  
Road Traffic Safety ◽  
A Priority

The paper considers an assignment and an essence of audit of road traffic safety. As an example, the authors have determined a priority section on federal roads of Krasnoyarsk Territory for conducting the audit. On the basis of detailed analysis of road conditions that affect the risk of accidents appearance and research of road traffic accidents mechanism on that section the authors have developed measures on decreasing accident rate. Efficiency of the proposed measures are verified with the use of PC–Crash program for modeling and reconstruction of road traffic accidents.

Application of multi-attribute group decision-making methods in urban road traffic safety evaluation with interval-valued intuitionistic fuzzy information

2021 ◽  
Vol 40 (3) ◽  
pp. 5337-5346
Author(s):  
Zhun Tian ◽  
Shengrui Zhang
Keyword(s):  
Traffic Safety ◽  
Traffic Accident ◽  
Group Decision ◽  
Road Traffic ◽  
Safety Evaluation ◽  
Vikor Method ◽  
Accident Rate ◽  
Urban Road ◽  
Road Traffic Safety ◽  
Interval Valued

With the development of the social economy, the level of motorization has been greatly improved, and the traffic safety problem has been paid more and more attention. In recent years, China’s road traffic accident rate showed a trend of decline after rising first, suggests that the Chinese road traffic safety level is on the decline. Road traffic safety evaluation has a positive effect in found risk factors of road traffic safety in time and reduce the traffic accident rate, so the study of traffic safety evaluation method is imperative. And the urban road traffic safety evaluation is frequently viewed as the multi-attribute group decision-making (MAGDM) problem. Depending on the conventional VIKOR method and interval-valued intuitionistic fuzzy sets (IVIFSs), this paper designs a novel IVIF-VIKOR method to assess the urban road traffic safety. In addition, since subjective randomness frequently exists in determining criteria weights, the weights of criteria is [Z1] decided objectively by utilizing CRITIC method. Eventually, an application and some comparative analysis are given. The results show that the designed algorithms are useful for assessing the urban road traffic safety.

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.

Sign in / Sign up

Export Citation Format

Share Document