scholarly journals Revealing the Spatial Pattern of Weather-Related Road Traffic Crashes in Slovenia

2021 ◽  
Vol 11 (14) ◽  
pp. 6506
Author(s):  
Danijel Ivajnšič ◽  
Nina Horvat ◽  
Igor Žiberna ◽  
Eva Konečnik Kotnik ◽  
Danijel Davidović
Keyword(s):  
Traffic Safety ◽  
Spatial Information ◽  
Road Traffic ◽  
Road Traffic Crash ◽  
Navigation Systems ◽  
Traffic Crashes ◽  
Road Traffic Crashes ◽  
Traffic Crash ◽  
Road Traffic Safety ◽  
Adverse Weather

Despite an improvement in worldwide numbers, road traffic crashes still cause social, psychological, and financial damage and cost most countries 3% of their gross domestic product. However, none of the current commercial or open-source navigation systems contain spatial information about road traffic crash hot spots. By developing an algorithm that can adequately predict such spatial patterns, we can bridge these still existing gaps in road traffic safety. To that end, geographically weighted regression and regression tree models were fitted with five uncorrelated (environmental and socioeconomic) road traffic crash predictor variables. Significant regional differences in adverse weather conditions were identified; Slovenia lies at the conjunction of different climatic zones characterized by differences in weather phenomena, which further modify traffic safety. Thus, more attention to speed limits, safety distance, and other vehicles entering and leaving the system could be expected. In order to further improve road safety and better implement globally sustainable development goals, studies with applicative solutions are urgently needed. Modern vehicle-to-vehicle communication technologies could soon support drivers with real-time traffic data and thus potentially prevent road network crashes.

scholarly journals Analysis of Pedestrian-Vehicle Crashes Using Artificial Learning Methods: City of Sakarya Case Study

2021 ◽  
Vol 4 (2) ◽  
pp. 221-230
Author(s):  
Zeliha Cagla Kuyumcu ◽  
Suhrab Ahadi ◽  
Hakan Aslan
Keyword(s):  
Low Income ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Low Income Countries ◽  
Road Traffic Crash ◽  
Traffic Crashes ◽  
Road Traffic Crashes ◽  
Traffic Crash ◽  
Artificial Learning

The lives of approximately 1.3 million people are cut short every year as a result of road traffic crashes. Between 20 and 50 million people suffer non-fatal injuries, with many incurring a disability as a result of their injury. The risk of dying in a road traffic crash is more than 3 times higher in low-income countries than in high-income countries [1]. In Turkey, 18% of traffic accidents was related to pedestrian-vehicle collisions in urban roads in 2020. In addition, 20% of death toll caused by accidents is pedestrians in 2020 [2]. This study deals with the some of classifiers to forecast the number of injuries as a result of traffic accidents. The classifier’s performance ratios were also examined.

scholarly journals Collaborative research and knowledge translation on road crashes in Burkina Faso: the police perspective 18 months on

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Christian Dagenais ◽  
Michelle Proulx ◽  
Esther Mc Sween-Cadieux ◽  
Aude Nikiema ◽  
Emmanuel Bonnet ◽  
...  
Keyword(s):  
Knowledge Translation ◽  
Burkina Faso ◽  
Road Traffic ◽  
Research Data ◽  
Road Traffic Crash ◽  
Research Project ◽  
Traffic Crashes ◽  
Road Traffic Crashes ◽  
Road Crashes

AbstractIn this commentary, we present a follow-up of two articles published in 2017 and 2018 about road traffic crashes, which is an important public health issue in Africa and Burkina Faso. The first article reported on a research project, conducted in partnership with local actors involved in road safety, carried out in Ouagadougou in 2015. Its aim was to test the effectiveness, acceptability, and capacity of a surveillance system to assess the number of road traffic crashes and their consequences on the health of crash victims. Several knowledge translation activities were carried out to maximize its impact and were reported in the 2018 article published in HRPS: monthly reports presenting the research data, large-format printed maps distributed to the city’s police stations, and a deliberative workshop held at the end of the research project. The present commentary presents our efforts to deepen our understanding of the impacts of the knowledge translation strategy, based on follow-up interviews, 18 months after the workshop, with the heads of the road traffic crash units in Ouagadougou police stations (n = 5). Several benefits were reported by respondents. Their involvement in the process prompted them to broaden their knowledge of other ways of dealing with the issue of road crashes. This led them, sometimes with their colleagues, to intervene differently: more rapid response at collision sites, increased surveillance of dangerous intersections, user awareness-raising on the importance of the highway code, etc. However, sustaining these actions over the longer term has proven difficult. Several lessons were derived from this experience, regarding the importance of producing useful and locally applicable research data, of ensuring the acceptability of the technologies used for data collection, of using collaborative approaches in research and knowledge translation, of ensuring the visibility of actions undertaken by actors in the field, and of involving decision-makers in the research process to maximize its impacts.

scholarly journals Patterns of Maxillofacial Fractures in Road Traffic Crashes in an Indian Rural Tertiary Center

2014 ◽  
Vol 3 (2) ◽  
pp. 53-58
Author(s):  
A Sagayaraj ◽  
Rijo M Jayaraju ◽  
Mallika P Reddy ◽  
KR Harshitha ◽  
Priyanka Majety
Keyword(s):  
Road Traffic ◽  
Bone Fractures ◽  
Nasal Bone ◽  
Road Traffic Crash ◽  
Mandibular Fractures ◽  
Traffic Crashes ◽  
Large Variability ◽  
Road Traffic Crashes ◽  
Maxillofacial Fractures ◽  
Tertiary Center

ABSTRACT Background and objectives Road traffic crashes are reported to be the leading cause of maxillofacial fractures in developing countries. The large variability in reported incidence and etiology is due to a variety of contributing factors, including environmental, cultural and socioeconomic factors. The study aims at describing the patterns of maxillofacial fractures in road traffic crashes by clinical and radiological methods and to study the complications associated with these fractures. Materials and methods The study included 100 road traffic crash patients with maxillofacial injuries. Patients were evaluated for any maxillofacial fracture by clinical assessment and, radiologically, using plain radiographs and computed tomography scan. Results Midfacial skeleton was more prone to fractures. Isolated fractures of the maxilla was the commonest (58%) followed by nasal bone fractures (43%). Among the complex fractures, Le Fort type II was the commonest. Mandibular fractures were seen in 33% of the patients, parasymphysis being the commonest site. Majority of the patients had associated soft tissue injuries. The incidence of complications associated with maxillofacial fractures was 11%, malocclusion being the commonest. Conclusion Maxillofacial fractures are commoner in the mobile population in the most productive age group, more so in two wheeler riders causing significant morbidity and mortality. Midface region is more prone to fractures and is most of the time associated with complications. How to cite this article Jayaraju RM, Sagayaraj A, Reddy MP, Harshitha KR, Majety P. Patterns of Maxillofacial Fractures in Road Traffic Crashes in an Indian Rural Tertiary Center. Panam J Trauma Crit Care Emerg Surg 2014;3(2):53-58.

scholarly journals Bibliometric analysis of road traffic injuries research in the Gulf Cooperation Council region

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 1155 ◽  
Author(s):  
Farhan Muhammad Butt ◽  
Murtaza Ashiq ◽  
Shafiq Ur Rehman ◽  
Khurram Shahid Minhas ◽  
Muhammad Ajmal Khan
Keyword(s):  
Saudi Arabia ◽  
Bibliometric Analysis ◽  
Traffic Safety ◽  
Road Traffic ◽  
The United States ◽  
Gulf Cooperation Council ◽  
Road Traffic Crash ◽  
Productivity Level ◽  
Road Traffic Injuries ◽  
Road Traffic Safety

Background: Despite governmental interventions, the Gulf Cooperation Council (GCC) region continues to experience higher road traffic crash and fatality rates relative to Western nations. This trend suggests a potential disconnect between Road Traffic Injuries (RTI) research and the mitigation measures put in place. Method: Here, we present an in-depth bibliometric analysis to obtain a comprehensive understanding of RTI research in the GCC region. The Web of Science database was used to search and retrieve the relevant articles during the period of 1981-2019. Results: The volume of RTI research increased from 2015–2019, suggesting an increased focus on traffic safety in the GCC region. Saudi Arabia had the highest RTI research productivity level (126 publications); Bahrain had the lowest (7 publications). Inconsistent with its low publication volume, Hammad Medical Corps of Qatar had the highest citation impact score of 16.33. Global collaboration for RTI research was highest between Saudi Arabia and the United States. The most prevalent publication journal for the region was Accident Analysis and Prevention. The most common keywords were “road traffic accidents” and “road traffic injuries”; terms such as “mobile phones”, “pedestrian safety”, “pedestrians”, and “distracted driving” were least common. In the five most productive GCC nations with respect to RTI research (Saudi Arabia, United Arab Emirates, Qatar, Kuwait, and Oman), researchers tended to publish works related to road traffic safety in traffic safety-oriented journals. Conclusions: The quantity and quality of RTI publications in GCC is insufficient to meet the increasing related public health and economic burden in the region. The trends among publication volumes, citations, and impact were inconsistent. There is a lack of research collaboration among the institutions. Most of the research related to RTI is being conducted by researchers with a medical background. Research focusing on pedestrians, cyclists and road user behavior is also inadequate.

scholarly journals Practice Analysis of Road Traffic Crashes Accident of a City in China

2012 ◽  
Vol 5 ◽  
pp. 105-110
Author(s):  
Li Wei Hu ◽  
Jian Xiong
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Crash Severity ◽  
Crash Analysis ◽  
Expected Number ◽  
Traffic Crashes ◽  
Road Traffic Crashes ◽  
Road Crashes ◽  
The Road ◽  
Types Of Information

Many studies focused on the development of crash analysis approaches have resulted in aggregate practices and experiences to quantify the safety effects of human, geometric, traffic and environmental factors on the expected number of deaths, injuries, and/or property damage crashes at specific locations. Traffic crashes on roads are a major cause of road crashes in the metropolitan area of Xi’an. In an attempt to identify causes and consequences, reported traffic crashes for six years in Xi’an were analyzed using a sample of 2038 reports. The main types of information from such reports were extracted, coded, and statistically analyzed. Important results were obtained from frequency analyses as well as multiple contributory factors related to traffic crashes, including crash severity, time and location of occurrence, geometry of the road, AADT and v/c. This paper presents the results of such analyses and provides some recommendations to improve traffic safety and further studies to analyze potential crash locations.

scholarly journals Traffic Crash Characteristics in Shenzhen, China from 2014 to 2016

2021 ◽  
Vol 18 (3) ◽  
pp. 1176
Author(s):  
Guofa Li ◽  
Yuan Liao ◽  
Qiangqiang Guo ◽  
Caixiong Shen ◽  
Weijian Lai
Keyword(s):  
Traffic Safety ◽  
Traffic Management ◽  
Motor Vehicle ◽  
Road Traffic ◽  
Driver Assistance Systems ◽  
Land Use Pattern ◽  
Road Traffic Crashes ◽  
Traffic Crash ◽  
Crash Types ◽  
Crash Characteristics

Road traffic crashes cause fatalities and injuries of both drivers/passengers in vehicles and pedestrians outside, thus challenge public health especially in big cities in developing countries like China. Previous efforts mainly focus on a specific crash type or causation to examine the crash characteristics in China while lacking the characteristics of various crash types, factors, and the interplay between them. This study investigated the crash characteristics in Shenzhen, one of the biggest four cities in China, based on the police-reported crashes from 2014 to 2016. The descriptive characteristics were reported in detail with respect to each of the crash attributes. Based on the recorded crash locations, the land-use pattern was obtained as one of the attributes for each crash. Then, the relationship between the attributes in motor-vehicle-involved crashes was examined using the Bayesian network analysis. We revealed the distinct crash characteristics observed between the examined levels of each attribute, as well the interplay between the attributes. This study provides an insight into the crash characteristics in Shenzhen, which would help understand the driving behavior of Chinese drivers, identify the traffic safety problems, guide the research focuses on advanced driver assistance systems (ADASs) and traffic management countermeasures in China.

scholarly journals Predictors of Self-reported Crashes among Iranian Drivers: Exploratory Analysis of an Extended Driver Behavior Questionnaire

2018 ◽  
Vol 30 (1) ◽  
pp. 35-43 ◽  
Author(s):  
Amin Mohamadi Hezaveh ◽  
Trond Nordfjærn ◽  
Amir Reza Mamdoohi ◽  
Özlem Şimşekoğlu
Keyword(s):  
Traffic Safety ◽  
Road Traffic ◽  
Driver Behaviour ◽  
Factor Solution ◽  
Traffic Crashes ◽  
Traffic Fatality ◽  
Road Traffic Safety ◽  
Traffic Violations ◽  
Safety Countermeasures ◽  
Iranian Context

More than 16,500 people lose their lives each year due to traffic crashes in Iran, which reflects one of the highest road traffic fatality rates in the world. The aim of the present study is to investigate the factors structure of an extended Driver Behaviour Questionnaire (DBQ) and to examine the gender differences in the extracted factors among Iranian drivers. Further, the study tested the association between DBQ factors, demographic characteristics, and self-reported crashes. Based on Iranian driving culture, an extended (36 items) Internet-based version of the DBQ was distributed among Iranian drivers. The results of Exploratory Factor Analysis based on a sample of 632 Iranians identified a five-factor solution named “Speeding and Pushing Violations”, “Lapses and Errors”, “Violations Causing Inattention”, “Aggressive Violations” and “Traffic Violations” which account for 44.7 percent of the total variance. The results also revealed that females were more prone to Lapses and Errors, whereas males reported more violations than females. Logistic regression analysis identified Violations Causing Inattention, Speeding and Pushing Violations as predictors of self-reported crashes in a three-year period. The results were discussed in line with road traffic safety countermeasures suitable for the Iranian context.

scholarly journals Traffic Crash Evolution Characteristic Analysis and Spatiotemporal Hotspot Identification of Urban Road Intersections

2018 ◽  
Vol 11 (1) ◽  
pp. 160 ◽  
Author(s):  
Zeyang Cheng ◽  
Zhenshan Zu ◽  
Jian Lu
Keyword(s):  
Road Traffic ◽  
Hot Spot ◽  
Statistical Significance ◽  
Characteristic Analysis ◽  
Traffic Crashes ◽  
Traffic Crash ◽  
Road Traffic Safety ◽  
Time Space ◽  
Road Intersections ◽  
Crash Hotspots

Road traffic safety is a key concern of transport management as it has severely restricted Chinese economic and social development. With the objective to prevent and reduce road traffic crashes, this study proposes a comprehensive spatiotemporal analysis method that integrates the time-space cube analysis, spatial autocorrelation analysis, and emerging hot spot analysis for exploring the traffic crash evolution characteristics and identifying crash hot spots. These analyses are all conducted by the corresponding toolbox of ArcGIS 10.5. Then, a small sized-city of China (i.e., Wujiang) is selected as the case study, and the historical traffic crash data occurring at the road intersections of Wujiang for the year 2016 are analyzed by the proposed method. The analysis process identifies the high incidence locations of traffic crashes, then presents the spatial change trend and statistical significance of the crash locations. Finally, different types of crash hotspots, as well as their evolution patterns over time, are determined. The results illustrate that the traffic crash hotspots of road intersections are primarily distributed in the Northeast area of Wujiang’s major urban area, while the crash cold spots are concentrated in the Southwest of Wujiang, which points out the direction for crash prevention. In addition, the finding has a potential engineering application value, and it is of great significance to the sustainable development of Wujiang.

Theoretical Calculation of the Maximum Speed Limit Value on Freeway in Adverse Weather

2012 ◽  
Vol 209-211 ◽  
pp. 663-666
Author(s):  
Yu Feng Guo ◽  
Guo Zhu Cheng
Keyword(s):  
Theoretical Calculation ◽  
Traffic Safety ◽  
Road Traffic ◽  
Driving Safety ◽  
Maximum Speed ◽  
Speed Limit ◽  
Safety Level ◽  
Road Traffic Safety ◽  
Limit Value ◽  
Adverse Weather

In order to increase driving safety level on freeway, the paper analyzed the affecting mechanism of rainy day, snowy day and foggy day on road traffic safety. Considering that the sum of running distance and braking distance is less than visible distance, theoretical calculation formula of maximum speed limit value on freeway in adverse weather was presented based on the safe distance. Suggestions values of corresponding speed limit were given according to different visible distance, road fiction coefficient and grade.

scholarly journals Bibliometric analysis of road traffic injuries research in the Gulf Cooperation Council region

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 1155
Author(s):  
Farhan Muhammad Butt ◽  
Murtaza Ashiq ◽  
Shafiq Ur Rehman ◽  
Khurram Shahid Minhas ◽  
Muhammad Ajmal Khan
Keyword(s):  
Saudi Arabia ◽  
Bibliometric Analysis ◽  
Traffic Safety ◽  
Road Traffic ◽  
The United States ◽  
Gulf Cooperation Council ◽  
Road Traffic Crash ◽  
Productivity Level ◽  
Road Traffic Injuries ◽  
Road Traffic Safety

Background: Despite governmental interventions, the Gulf Cooperation Council (GCC) region continues to experience higher road traffic crash and fatality rates relative to Western nations. This trend suggests a potential disconnect between Road Traffic Injuries (RTI) research and the mitigation measures put in place. Method: Here, we present an in-depth bibliometric analysis to obtain a comprehensive understanding of RTI research in the GCC region. The Web of Science database was used to search and retrieve the relevant articles during the period of 1981-2019. Results: The volume of RTI research increased from 2015–2019, suggesting an increased focus on traffic safety in the GCC region. Saudi Arabia had the highest RTI research productivity level (126 publications); Bahrain had the lowest (7 publications). Inconsistent with its low publication volume, Hammad Medical Corps of Qatar had the highest citation impact score of 16.33. Global collaboration for RTI research was highest between Saudi Arabia and the United States. The most prevalent publication journal for the region was Accident Analysis and Prevention. The most common keywords were “road traffic accidents” and “road traffic injuries”; terms such as “mobile phones”, “pedestrian safety”, “pedestrians”, and “distracted driving” were least common. In the five most productive GCC nations with respect to RTI research (Saudi Arabia, United Arab Emirates, Qatar, Kuwait, and Oman), researchers tended to publish works related to road traffic safety in traffic safety-oriented journals. Conclusions: The quantity and quality of RTI publications in GCC is insufficient to meet the increasing related public health and economic burden in the region. The trends among publication volumes, citations, and impact were inconsistent. There is a lack of research collaboration among the institutions. Most of the research related to RTI is being conducted by researchers with a medical background. Research focusing on pedestrians, cyclists and road user behavior is also inadequate.

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