scholarly journals Study on the Impact of Traffic Accidents in Key Areas of Rural Roads

2021 ◽  
Vol 13 (14) ◽  
pp. 7802
Author(s):  
Maosheng Li ◽  
Hui Xie ◽  
Panpan Shu
Keyword(s):  
Rural Area ◽  
Traffic Safety ◽  
Rural Roads ◽  
Severe Accidents ◽  
Accident Severity ◽  
Single Vehicle ◽  
Town Center ◽  
The Town ◽  
Center Area ◽  
Significant Factors

In recent years, the proportion of rural road fatalities in the country is gradually increasing, among which the traffic safety problems are particularly prominent in the town-rural area and the town-center area. Based on the relevant accident data in Hunan Province in recent years, the chi-square test was conducted to obtain the correlation degree between each risk factor and accident severity based on gender stratification. Then, a binary logistic model was established to obtain the significant factors that affect the accident severity in the town-rural area and the town-center area, respectively. Based on the significant factors, relevant safety improvement measures were proposed for the key areas. The results show that severe accidents were significantly related to single-vehicle factors, motorcycle factors, and intersections factors in the town-rural area. In the town-center area, severe accidents were significantly related to elderly age, single-vehicle factors, and nighttime factors. The study obtained the risk factors in key areas, which can provide a reference for the improvement of traffic safety in key areas of rural roads, to ensure the safety and sustainability of rural traffic.

Traffic Safety Diagnostic and Application of Countermeasures for Rural Roads in Burkina Faso

2003 ◽  
Author(s):  
Dominique Lord ◽  
Hamidou Mamadou Abdou ◽  
Antoine N'Zue ◽  
Georges Dionne
Keyword(s):  
Burkina Faso ◽  
Traffic Safety ◽  
Rural Roads

scholarly journals PEDESTRIAN TRAFFIC CONDITIONS OF RURAL ROADS AND BUILT-UP AREAS: THE ANALYSIS OF THE EXISTING SITUATION AND POSSIBILITIES OF IMPROVING TRAFFIC CONDITIONS

2010 ◽  
Vol 2 (3) ◽  
pp. 60-66
Author(s):  
Nemunas Abukauskas ◽  
Egidijus Skrodenis
Keyword(s):  
Traffic Safety ◽  
Road Safety ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Rural Roads ◽  
Traffic Conditions ◽  
Foreign Countries ◽  
Pedestrian Traffic ◽  
Main Activity

The results of lengthy thorough investigations into traffic safety situation show that the percentage of pedestrians getting involved in road traffic accidents on Lithuanian roads is significantly higher (more than 33 % of the total number of injury and fatal accidents) than that compared to the other European Union member-states. The article studies traffic safety problems and their factors causing the largest influence on the occurrence of these accidents. Considering valuable experience gained by foreign countries, investigation was carried out to establish general and main factors causing insufficient road safety conditions and significance of these factors to road safety. The article also shows the main activity improving road safety in Lithuania and discusses the effectiveness of strategic and local (temporary and long term) measures to improve conditions for pedestrian road safety.

scholarly journals Analysis of Traffic Accidents in the Area of Small Towns in the Republic of Croatia

2012 ◽  
Vol 21 (2) ◽  
pp. 129-140
Author(s):  
Vinko Višnjić ◽  
Marko Pušić
Keyword(s):  
Key Words ◽  
Traffic Safety ◽  
Safety Assessment ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Small Towns ◽  
The Road ◽  
Road Traffic Safety ◽  
The Republic ◽  
The Town

The safety of road traffic in small towns in the Republic of Croatia is not at a satisfactory level. As proof, the safety of road traffic participants in the area of the town of Nova Gradiška and its wider environment has been studied and analyzed. The paper includes the available data in the period from 2000 to 2007. The analysis and the assessment of road traffic safety can be applied also to other towns and counties of the Republic of Croatia. Having in mind that there are 531 settlements in the Republic of Croatia (119 towns and 412 districts), out of which only 78 are larger than 10,000 inhabitants or 14.69% of the total number, which means that the analysis could be made for any settlement in the Republic of Croatia. The road traffic safety assessment was conceived according to the modified Smeed model which may be applied for any settlement or town. The road traffic safety analysis has led to the conclusion that safety of all the traffic participants is endangered. This paper provides solutions about what has to be done in order to reduce the danger to all the road traffic factors. KEY WORDS: drivers, traffic, traffic accidents, safety and small towns

scholarly journals Factor Identification and Prediction for Teen Driver Crash Severity Using Machine Learning: A Case Study

2020 ◽  
Vol 10 (5) ◽  
pp. 1675 ◽  
Author(s):  
Ciyun Lin ◽  
Dayong Wu ◽  
Hongchao Liu ◽  
Xueting Xia ◽  
Nischal Bhattarai
Keyword(s):  
Machine Learning ◽  
Traffic Safety ◽  
Rural Areas ◽  
Computational Cost ◽  
The United States ◽  
Crash Severity ◽  
Rural Roads ◽  
Factors Affecting ◽  
West Texas ◽  
Teen Drivers

Crashes among young and inexperienced drives are a major safety problem in the United States, especially in an area with large rural road networks, such as West Texas. Rural roads present many unique safety concerns that are not fully explored. This study presents a complete machine leaning pipeline to find the patterns of crashes involved with teen drivers no older than 20 on rural roads in West Texas, identify factors that affect injury levels, and build four machine learning predictive models on crash severity. The analysis indicates that the major causes of teen driver crashes in West Texas are teen drivers who failed to control speed or travel at an unsafe speed when they merged from rural roads to highways or approached intersections. They also failed to yield on the undivided roads with four or more lanes, leading to serious injuries. Road class, speed limit, and the first harmful event are the top three factors affecting crash severity. The predictive machine learning model, based on Label Encoder and XGBoost, seems the best option when considering both accuracy and computational cost. The results of this work should be useful to improve rural teen driver traffic safety in West Texas and other rural areas with similar issues.

scholarly journals Solid Waste Management Packaging Pesticides in Agricultural Fields

2020 ◽  
Vol 9 (1) ◽  
pp. 710-713
Keyword(s):  
Climate Change ◽  
Waste Management ◽  
Solid Waste ◽  
Strategic Alliance ◽  
Solid Waste Management ◽  
Quantitative Approach ◽  
Agricultural Fields ◽  
Sweet Potatoes ◽  
Town Center ◽  
The Town

The main objective is to know the findings of farmers and competent authorities on solid waste management packaging of pesticides in agricultural fields. This research is descriptive character of non-experimental quantitative approach, where a survey was applied to 30 producersagricultural, based on 18 items, which grow crops ofvegetables, sweet potatoes, corn, and asparagus. located in the Town Center Agua Dulce, 4 km from the district of San Vicente province of Cañete, Lima region, Peru, in an area of 200.83 ha. Result Review producers considerpollution and climate change are increased effect of solid waste packaging pesticides in agricultural fields. And it concludeswhich should promote training strategies and achieve decrease that plastics are thrown into agricultural fields and irrigation canals which then finally spreads into the sea, management should be led by the authority in strategic alliance with commercial houses chemical inputsIn coordination with farmers

Sign in / Sign up

Export Citation Format

Share Document