To determine the individual circumstances that account for a road traffic accident, it is crucial to consider the unplanned connections amongst various factors related to a crash that results in high casualty levels. Analysis of the road accident data concentrated mainly on categorizing accidents into ...
March 2022: Jointly with our CSR-Partner OnStar and Future Mobility at General Motors Africa and Middle East, we ran a first-ever unique research on thepsychological impact of car accidents on drivers in the UAE, the emotions and needs of car accident victims in the seconds right after the ...
Data has demonstrated that while those of higher SES may consume larger quantities of alcohol, those of lower SES tend to bear a greater proportion of harmful alcohol-related consequences [66]. Similar to motor vehicle driving, bicycling under the influence of drugs or alcohol has serious safety ...
First, heterogeneity of data was eliminated through latent class analysis (LCA). The ordered probit (OP) model was then conducted for each class to obtain significant variables that exert an impact on accident severity. The study quantified the degree of influence of the significant variables using...
Through practical data, it can be concluded that this technology had a good effect on preventing traffic accidents, reducing the accident rate, severity, and the cost of traffic operation and management, improving highway construction and enhancing the traffic safety awareness of traffic actors (...
2021, Accident Analysis and Prevention Citation Excerpt : However, several others include the use of protective systems and mobile phones, tiredness, stress, problems with vision or health in general, and lack of knowledge (Grdinić-Rakonjac and Pajković, 2020). Recent studies that make use...
with separate tables for crashes, casualties and vehicles, as outlined below). The following command, for example, gets crash data from 2022 (note: we follow the “crash not accident” campaign ofRoadPeacein naming crashes, although the DfT refers to the relevant tables as ‘accidents’ data)...
At least 10 people were killed after a truck loaded with passengers and goods overturned in eastern Democratic Republic of Congo on Friday, AFP reported citing the local government. The incident happened in the village of Kitongo in South Kivu province early in the morning. An unspecified ...
According to a review of the literature, it is clear that, first, in recent years, the use of artificial intelligence methods in accident data analysis, alongside traditional methods such as the probit and logit, has increased and played an important role in studies. Second, the importance of...
Over the years, a number of count regression models have been used to analyze accident data. The univariate Poisson regression and negative binomial models were utilized as a starting point for the majority of the models employed in the area. For example, in 2018, Mandacar and colleagues [27]...