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

The article focuses on issues related to the assessment and interpretation of existing data on crisis events in the context of transport infrastructure. In the face of global climate change, analyzing these data becomes increasingly complex and requires in-depth consideration. The main challenges the paper addresses include the lack of comprehensive and up-to-date data, limited opportunities to analyze causal relationships between climate events and their impact on transport infrastructure, and shortcomings in existing analysis methodologies. The authors call for the development of new, more efficient methods of data collection and analysis that can serve as a basis for future strategic decisions.

The article presents an in-depth analysis of the data related to the assessment of the impact of climate change on the road infrastructure in Bulgaria. It is necessary to systematically collect, store, and analyze territorial data on the dynamics of changes in various climatic factors such as temperature, snow cover, precipitation, winds, etc. The article examines the main sources of such information in Bulgaria, their limitations, and shortcomings. Identifying the needs and weaknesses in finding usable data is an important step on the way to building a strategy to solve this task.

Climate changes are having an increasingly strong impact on the sustainability and safety of the road infrastructure in Bulgaria. This paper analyzes how changes in climatic conditions over the last three decades affect the condition and functioning of the road network. The aim is to identify critical factors and propose methodological guidelines for design and maintenance that include adaptive strategies to address climate risks. The work emphasizes the need for a complex multidisciplinary approach combining scientific research, strategic planning, and practical implementation.

The National Climate Change Adaptation Strategy for the “Transport” sector until 2030 was developed in the period 2017 – 2019. After 4 years in the conditions of several overlapping crises, the recommendations contained in the document on main adaptation measures relating to institutional capacity building have not started. This is observed against the background of activity from a number of countries that are looking for models to assess the sensitivity of the transport infrastructure to climate events and, from there, measures to achieve sustainability and adaptability in the medium term. The article analyzes the problems of backwardness in Bulgaria and offers recommendations for increasing the participation of all interested participants in the transport sector.

The National Climate Change Adaptation Strategy (NCCAS) for the “Transport” sector until 2030 was developed in the period 2017 – 2019. After 4 years in the context of several overlapping crises, the recommendations contained in the main adaptation measures document have largely not been implemented even in the initial phase. Those recommending the review and updating of legislation regarding adaptation to climate change were not subject to optimization. The article analyzes the problem of lagging behind in Bulgaria in relation to supplementing the standards and presents ideas for methodological approaches through which adaptation measures can be implemented in the design and maintenance of the road infrastructure.

We are witnessing the massive and impressive penetration of artificial intelligence (AI) into many areas of human activity. This process is expected to intensify in the next few decades. In most technical fields, there will be a preponderance of the so-called narrow artificial intelligence with clearly defined tasks and functions. It is usually a coherent set of neural networks trained to solve specific problems. The advantage of narrow AI is that it is entirely controllable and, at the same time, has excellent capabilities. This publication aims to outline guidelines for applying narrow artificial intelligence in investigating the impact of climate change on transport infrastructure. After a brief introduction to narrow artificial intelligence and climate change, various possible areas suitable for AI modeling are explored. Directions and preparatory tasks for collecting climate-sensitive local data on the condition and changes in the transport infrastructure in Bulgaria necessary for AI training are identified.