An Algorithm for Transport Optimization as the Effect of the European Green Deal and Climate Neutrality Goals

The exponential growth of the world population in the last decades (approx. eight billion people in 2022), corroborated with spectacular development of various sectors of activity such as transport, construction, information, and communication technology, etc. exert a worrying pressure on limited natural resources. Moreover, climate change, environmental degradation, increasing pollution, recent armed conflicts are increasingly real existential threats to the global population in general and to the old continent in particular. In this context, the European Green Deal (EGD) comes to counteract such unhealthy developments and proposes to transform Europe into a society with a modern, high performing and resource-efficient economy, with a goal of achieving climate neutrality by 2050. EGD involves a series of legislative measures that will support and implement policies on financial and competitive issues related to climate, energy, industry, sustainable and smart mobility, agriculture and biodiversity conservation and protection. From the EGD perspective, the objectives of this research have focused on the transport sector, with a view to ensuring safe, sustainable, green, and smart mobility. The main result of the research consists of the optimization algorithm developed and implemented by authors at one of the largest alliances transport, which calculates the best option for the delivery of goods, respecting the price lists and the proposed carbon dioxide emissions targets. At the same time, in the light of the results and conclusions of the research, the general implications regarding the financial and competitive aspects of the EGD are analysed, as well as the particular ones, specific to the alliance that is the object of the case study.