Rural Road Traffic Safety Diagnosis Method

2009 ◽  
Author(s):  
Shengxue Zhu ◽  
Jian Lu ◽  
Qiaojun Xiang ◽  
Linli Yan
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Road Traffic Safety ◽  
Rural Road ◽  
Diagnosis Method ◽  
Safety Diagnosis

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

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.

scholarly journals A Cask Evaluation Model to Assess Safety in Chinese Rural Roads

2018 ◽  
Vol 10 (11) ◽  
pp. 3864 ◽  
Author(s):  
Longyu Shi ◽  
Nigar Huseynova ◽  
Bin Yang ◽  
Chunming Li ◽  
Lijie Gao
Keyword(s):  
Traffic Safety ◽  
Traffic Accident ◽  
Road Traffic ◽  
Evaluation Model ◽  
Impact Factors ◽  
Rural Roads ◽  
Traffic Signs ◽  
Road Traffic Safety ◽  
Rural Road ◽  
Space Data

Suburban roads are an important part of China’s road network and essential infrastructure for rural development. Poorly designed road curves and scarcity of traffic signs have caused an excessively high traffic accident rate in plain topographical areas. In this study, an approach to evaluate and improve rural road traffic safety is introduced. Based on fuzzy and cask theory and weighted analysis, a cask evaluation model is built. It provides a quantitative instant method for analyzing road safety in the absence of traffic accident information or rigorous road space data, by identifying dangerous sections and key impact factors, and ultimately help to put forward traffic safety improvements. Based on the application to a specific section of Xiaodang Central Road in the Fengxian District of Shanghai, the result shows that the pavement conditions of cement-hardened dual-lane rural roads was good, but traffic safety was poor. Missing traffic signs, unreasonable road alignment, and poor roadside conditions were the main problems. Finally, improvements of the short-stave subsystem were proposed: the location of guide signs and roadside conditions should be improved, and the number and efficacy of the rural road traffic signs need to be increased, and markings should be and receive regular maintenance.

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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