International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

It has been at least 3 years out the risk of the Covid-19 pandemic around the world, a war that continues to have negative effects on people’s behaviour towards other risks because every day that everyday cases of complications are reported even in cases who passed it. This paper presents an overview of the lives lost by Covid-19 in Albania during the first wave of the pandemic as well as the negative effects of people who passed an infection or received the recommended treatment. The focus of our study is on the estimation of case fatality rates (CFRs), referring to the accumulated Covid-19 case data from the World Health Organization website, using simple linear regression for Albania and its neighbour’s. More than three years into the COVID pandemic, both the virus and the measures taken to control its spread have affected people’s lives across the globe. But how can we fully quantify these effects? This is the main topic of this research work.

The accident severity index of Albania has shown an increasing trend, although in 2020 there was a marked decrease of total accidents but some increase of fatal accidents. Looking at various risk factors—time, location, or speeding—this paper aims to develop a probability model that predicts accident-risk levels—flagging particularly hazardous locations or dangerous stretches of highway throughout the country—by using a Poisson model under a Bayesian Approach that can be used to predict the number of accidents occurring in a city per year from data collected.. From statistical data of a year of reference, the parameters of these model are comp uting, with which the final distribution is considered that predicts the occurrence of car accidents in a city. The model can be very useful to those who working in the transportation and public safety sectors providing them information that could help make modifications, whether it is designs of the road or different signage, to protect drivers and citizens.

The paper presents an example of an accident situation using Virtual Crash software in the reconstruction of a high-speed sideimpact accident of two vehicles at intersection. The simulation allowed estimating the velocity of the vehicles at the moment of collision and the determination of the location of the vehicles. We also focus on the result of the mathematical simulation of this accident situation at intersection when two vehicles and two pedestrians take part in this collision