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The application of neural networks for the life-cycle analysis of road and rail rolling stock during the operational phase

Regulski Paweł, Abramek Karol F.

Technical Transactions

2022

Vol. 119, iss. 1

art. no. e2022002

The aim of this article is to assess the possibility of using neural networks to analyse the life cycle of rolling stock in the operational phase by selecting the number of rolling stock sets and rail using the example of public transport in the Szczecin agglomeration. The research was conducted in September 2019 and June 2020. It included the number of tram and bus rolling stock sets on individual public transport lines based on data from the Central Public Transport Management System in the Szczecin agglomeration. The research, which was based on comparative analyses of individual types of rolling stock and their technical and economic data, took into account the life-cycle assessment criteria associated with the operation of vehicles in relation to the number of rolling stock sets. The use of neural networks on the example of the city of Szczecin for the purpose of life-cycle analysis, can make a significant contribution to creating a decision model for the improvement of public transport in cities with various types of public transport vehicles.

Problematyka napraw i obsługi taboru szynowego komunikacji miejskiej

Jurga S.

Problemy Eksploatacji

1999

nr 3

267-275

Wpływ motoryzacji na zbiorowy transport miejski. Konieczność odtworzenia transportu tramwajowego w nowych realiach drogowo-taborowych. Problematyka odnowy taboru 105 N. Tramwaj niskopodłogowy jako tzw. "tramwaj przyjazny" ludziom i środowisku. Konieczność zakupu używanego taboru tramwajowego z krajów zachodnich. Polityka kontrolno-obsługowa i diagnostyczna.

The study presents state of Public Transport in Krakow with regard to maintenance of rolling stock. It brings forward circumstances which influence current situation. The aim of the study is to optimise repair and maintenance system with modernisation processes.