Increasing the Level of Environmental Friendliness of Transportation Based on the Intellectualization of Transport Systems
Year: 2025
Type: article
Abstract: The publication is devoted to the study of ways to improve the level of environmental friendliness of transportation. The purpose of the study is to identify the possibilities of using intelligent transport systems to improve the level of environmental friendliness of transportation, as well as to conduct an analytical review of ways to increase the level of efficiency of the use of software tools, intelligent technologies that contribute to reducing the negative impact of business processes of using corporate transport in supply chains on the local environment. The provision of a high level of environmental friendliness of transport is justified based on the use of intelligent transport systems with a plan to ensure quality standards for the implementation of logistics processes in the process of sustainable development of the corporation, which are formed from the point of view of environmental protection and measured by accompanying production activities at the level of pollutant emissions (carbon dioxide СО2), assessment of indicators of the effective use of renewable energy, its specific weight produced per unit of cargo/number of passengers, hybridity of vehicles and the level of impact on the biodiversity of related ecosystems. The point of view is defended that the promising capabilities of intelligent transport systems in the management of environmentally friendly transport can be realized through the use of Big Data processing algorithms with the subsequent use of systematized information for route optimization and traffic management in real time; involvement in the value chain of the intellectual potential of digital transport platforms that are able to integrate into urban transport management systems, control traffic lights, traffic and public transport; improvement of supply chain logistics through automation of freight transportation, application of analytical models for predicting future demand for transportation and appropriate management of transport and storage resources; improving road safety by improving tools for analyzing driver behavior, monitoring the condition of vehicles; systematic increase in the level of energy efficiency of fuel use; integration of different modes of transport, the use of Hyperloop technologies and other innovations
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4411428007