ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN AUTOMATION OF TRANSPORT PROCESSES

Abstract

Transport processes are continuously evolving and improving through the introduction of cutting-edge technologies. The primary method for enhancing their efficiency is the implementation of IT solutions that operate via the integration of artificial intelligence (AI) algorithms. This study examines the issue of employing AI technology in the automation of transport processes by analyzing a range of publications by both Ukrainian and international researchers, thereby demonstrating the relevance of the chosen topic. This article assesses the prospects and challenges of using AI technology to automate transport processes. For this evaluation, the example of the USA was selected, justified by the unique characteristics of this country’s transportation system—among them, the significant role of maritime transport and the extensive railway network. Key components of the transport process were identified, and their connection with rail and maritime transport in the USA was examined, which facilitated the identification of the functionalities of AI in automating their operations. This analysis was the foundation for exploring prospective directions for applying AI technology in automating railway and maritime transport. The research findings indicate that, although the application of AI for automating transport processes is a promising approach to enhancing the economic efficiency of carriers, its implementation necessitates the training of personnel to operate the relevant applications, substantial capital investments in logistics centers, and other information technologies, as well as measures to counter cybercriminal activities. A practical outcome of this study is the substantiation of a novel system for integrating AI technology into the automation of transport processes in the USA, which includes identifying the factors that could pose potential problems and the prospects for utilizing AI algorithms. A promising direction for future research is to analyze the characteristics of transport process autonomization through AI integration and further compare the challenges and prospects of automation and autonomization in reducing time and cost expenditures in managing transport flows.