Intellectual analysis and estimation of gross greenhouse gas emissions

Abstract

Currently, the system of accounting and monitoring of greenhouse gas emissions is being formed in the Russian Federation. It should be noted that within the framework of the system being formed, the transport sector is considered as the main contributor that generates large amounts of greenhouse gas emissions in cities and on busy federal highways. At the same time, it is proposed to take into account emissions directly when burning fuel only by road, city electric, rail, water and air transport. The article discusses methods for estimating gross emissions from road facilities using data mining methods aimed at verifying the results obtained. The article also presents the calculation of greenhouse gas emissions for road facilities in the pilot region with a description of the verification algorithm for the results obtained. The results of testing the methods for determining greenhouse gas emissions by road facilities showed that this calculation method can be used in estimating greenhouse gas emissions at road facilities, however, reliable baseline data for calculating gross greenhouse gas emissions can only be obtained by analyzing the activities of economic entities in transport and in the road sector. It should be borne in mind that business entities are not obliged to provide information constituting commercial secrets from their point of view. Therefore, the results obtained are of an estimated nature and relate only to those objects, data on which could be obtained from official statistics and free sources, while the actual amount of greenhouse gas emissions from road facilities in the pilot region during the period under review may be significantly higher.

Environmental problems of using digital and information technologies in automobile transport

“…Problems of developing and using environmentally friendly, resource-efficient, energy efficient (low-carbon) vehicles, need to counter natural, man-made, biogenic, sociocultural threats, terrorism and extremism, cyber threats to transport systems and population, as well as search for effective answers to the challenges of interactions between man and nature, man and transport technologies can be successfully solved only by forming a unified information environment in automobile transport using big data processing technologies, machine learning and artificial intelligence [1].…”