This paper performs a statistical analysis of the dependency relationships between processes and phenomena and focuses on highlighting the main causes of accidents. As the number of vehicles increased, sodid the number of accidents. When we talk about the road transport system, we must not exclude the fact that there will always be road accidents due to unpredictable causes (vehicle failures) or foreseeable (infrastructure, recklessdriving). All these causes can be amplified by a series of conditions such as day or night, road category, but also by the manner and nature of accidents (between vehicles, between vehicle and pedestrian etc.). Using the analysis of the Pearson correlation between the codings, the nature, the mode and the place of accidents in Romania, it was highlighted that the most prone to accidents at night are new vehicles and "used" vehicles are responsible for accidents in localities. 

Acknowledgements: “The work of the first author is supported by the project ANTREPRENORDOC, in the framework of Human Resources Development Operational Programme 2014-2020, financed from the European Social Fund under the contract number 36355/23.05.2019 HRD OP /380/6/13 – SMIS Code: 123847. The work of the second author was carried out in the framework of the research project DREAM (Dynamics of the REsources and technological Advance in harvesting Marine renewable energy), supported by the Romanian Executive Agency for Higher Education, Research, Development and Innovation Funding – UEFISCDI, grant number PN-III-P4-ID- PCE-2020-0008.”