Classification of Local Governments by Road Traffic Safety Characteristics

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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Machinery Maintenance Viewpoint: One Approach to an Improved Rural Road Traffic Safety in Southwest Nigeria

International Journal of Engineering Technology and Sciences ◽

10.15282/ijets.v5i1.2825 ◽

2018 ◽

Vol 5 (1) ◽

pp. 60-71

Author(s):

Hezekiah O. Adeyemi ◽

Oluwaseun O. Martins O. Martins ◽

Olanike O. Ade-Ikuesan, O. Ade-Ikuesan ◽

Olawale O. Olaluwoye O. Olaluwoye

Keyword(s):

Rural Communities ◽

Traffic Safety ◽

Local Governments ◽

Road Traffic ◽

Road Maintenance ◽

Rural Roads ◽

Road Traffic Safety ◽

Rural Road ◽

Southwest Nigeria ◽

Grass Root Level

Local Governments (LGs), the third tier of government in Nigeria, are expected to maintain infrastructure facilities at the grass root level but most rural communities in Southwest Nigeria are characterized by poorly maintained roads. This study assessed conditions of Moveable Rural Road Maintenance Equipment (MRRME) under LGs in Southwest Nigeria vis-a-vis the safety levels on the rural roads. The study measured, impacts of roads conditions on commercial drivers/riders (cdr) and, level of usage of MRRME for the roads. Questionnaires were used to measure: accident rates and impacts among 250 cdr on 9 selected rural roads; Maintenance Performance Measures (MPM) of MRRME among 430 Senior Technical Officers (STOs) and Senior Finance Offices (SFOs) in 84 LG secretariats. The conditions of MRRME were carried out using observational method. More than 72% of cdr were involved in one crash or another and 89% of them attributed this to bad roads. Less than 26% of MRRME was functional with weak plans/tools put in place for correct maintenance program leading to a high level of MRRMEs’ failures and total neglect. T-test t (428) = -5.146, p = 0.421) found that the opinions of STOs (poor ratings for MPM policy implementation) were not different from that of the SFO. There is the need for safety attitudinal change among cdr. LGs also need empowerment to ensure proper maintenance of MRRME and enhances their availability. These measures among other will reduce accidents death counts on Nigeria rural roads.

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

Journal of Intelligent and Connected Vehicles ◽

10.1108/jicv-10-2019-0011 ◽

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.

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Chosen Problems of Road Accidents Analyses in Poland

Journal of Konbin ◽

10.2478/v10040-008-0107-6 ◽

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.

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

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1071181320641409 ◽

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.

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

Scientific Reports ◽

10.1038/s41598-021-91392-z ◽

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.

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