Abstract
The aim of the article is to analyze the impact of operation on the life cycle assessment of city buses with diesel and electric drive using neural networks based on source data. Two types of diesel buses and two types of electric buses were tested. As a result of the conducted tests, the following optimal values were obtained for buses: operation time, number of inspections, daily refueling time or battery charging time, general efficiency, emissions. The adopted values of the life cycle assessment criteria are optimal for electric and electric city buses. The presented research and analyzes have a significant impact on the processes related to the organization of public transport.
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