Approach to the Proecological Distribution of the Traffic Flow on the Transport Network from the Point of View of Carbon Dioxide

Piotr Gołębiowski, Jolanta Żak and Ilona Jacyna-Gołda
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Piotr Gołębiowski: Faculty of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland
Jolanta Żak: Faculty of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland
Ilona Jacyna-Gołda: Faculty of Production Engineering, Warsaw University of Technology, 00-662 Warsaw, Poland

Sustainability, 2020, vol. 12, issue 17, 1-16

Abstract: Nowadays, apart from travel time and cost, more and more attention is paid to ensuring that ecological footprint of the means of transport used for a journey is as small as possible. Therefore, it is reasonable to look for methods and solutions that will allow planning communication connections according to the principles of sustainable development. The aim of the article was to present mathematical model of the proecological distribution of traffic flow into a network, together with a determination of how the amount of emissions of harmful compounds for rail transport will be calculated (based on amount of energy necessary for movement, calculated on circumference of the wheels). The model has been verified on real data. The traffic flow was distributed over a selected communication route: Warszawa—Gdansk, where the criterion was minimization of total carbon dioxide emissions. An evolutionary method implemented in Microsoft Excel was used to solve the optimization problem. For the analysis of only the fastest connections, the railway one was the optimal from the point of view of the adopted criteria. After the train capacity was exceeded, air and car connections were loaded. Based on the research, a function that represents the amount of carbon dioxide emissions in the analyzed traffic route depending on the size of the traffic flow was developed.

Keywords: traffic flow; traffic flow distribution; carbon dioxide; evolutionary method; sustainable development; proecology (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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